Luxoft

We are looking for a Senior Business Analyst with strong SQL skills to support data management and system improvements. The role involves onboarding data providers, managing data dictionaries, enhancing system functionality, and ensuring data quality.

Key Responsibilities:

• Manage data onboarding and integration processes.
• Ensure data accuracy by resolving inconsistencies with data providers.
• Analyze and document functional requirements for system enhancements.
• Strong SQL skills required – work with ER diagrams, data dictionaries, and direct SQL queries.
• Collaborate with UX/UI designers to improve user experience.
• Develop and execute test cases for system improvements.
• Engage with business users to gather feedback and provide system training.
• Identify opportunities for automation and process optimization.

Requirements:

✅ 5+ years of experience in a Technical Business Analyst role.
✅ Strong SQL expertise – ability to read, analyze, and write complex queries.
✅ Data modeling knowledge – familiarity with ER diagrams and data dictionaries.
✅ Experience in documenting functional requirements and working with large datasets.
✅ Proficiency in Excel – VLOOKUPs, pivot tables, and data analysis.
✅ Strong analytical and problem-solving skills.
✅ Excellent communication and stakeholder engagement skills.

Nice-to-Have Skills:

🔹 Experience with Collibra and/or Solidatus.
🔹 Banking sector experience and familiarity with financial data.
🔹 Understanding of Agile software development.
🔹 Experience working with large datasets, APIs, or Kafka data streaming.

English: B2 (Upper-Intermediate) or higher.

Project Description:

The Execution BA Team works on a global strategic technology platform, Global Corporate Action Event Repository.

Key Responsibilities:

• Processing vendor data feeds and internal upstream client data
• Data mapping, analysis, and transformation
• Working with SWIFT messages
• Managing data publishing to downstream clients (via Cloud, XML Reports, custom publisher)
• Defining rules, governance, audit, and compliance processes
• Ensuring data coverage, accuracy, and timeliness
• Engaging with clients and stakeholders to define product roadmaps and requirements
• Collaborating with IT, PM, and Operations teams across global locations

Responsibilities:

• Requirement Gathering: Create business and functional requirements
• Data Handling: Data modeling, mapping, mining, and transformation
• SQL Proficiency: Querying, analyzing, and troubleshooting data
• System Development: Work closely with IT teams, PMs, and operations partners
• Interface Development: Develop Web GUI / API interfaces
• Data Provider Management: Work with internal and external data vendors
• Stakeholder Collaboration: Define EPICs and user stories based on client needs
• Testing & Documentation: Support SIT, UAT, production testing, documentation, and user training

Mandatory Skills:

• 6+ years of experience as a Business Analyst
• Strong background in financial reference data and capital markets
• Advanced SQL knowledge for querying, analyzing, and troubleshooting data
• Experience in data analysis and data mapping
• Strong attention to detail and data-driven mindset
• Understanding of business process reengineering and modeling concepts
• SDLC methodologies: Waterfall, Agile (JIRA)
• Experience in testing lifecycle (SIT, UAT, and production)
• Knowledge of Data Vendor/Data Source Hierarchy for Golden Copy
• Strong analytical, writing, and communication skills

Nice-to-Have Skills:

• Experience with securities indicative data providers (Bloomberg, Reuters, IDC, Markit)
• Project lead experience
• Familiarity with IT project management and collaboration with development teams
• Knowledge of MS Excel, Visio
• Experience with vendor product implementation

Languages:

• English: C1 Advanced

Project description

This Execution BA Team works on a global strategic technology platform - Global Corporate Action Event Repository. Major Tasks Involve - Processing Vendor Data Feeds & Internal Upstream Client Data, Mapping Data, Analyzing and Researching Data, Working on Swift Messages, User Interface, Data Publishing to downstream client (via Cloud, custom publisher) as XML/ Reports, Rules & governance, Audit, Compliance. Coverage, Accuracy and Timeliness of Information are the key drivers. Client and User Requirements drives the Product Roadmap. Team is spread around globally in multiple locations.

Responsibilities

Create Business and Function Requirements

Data Modelling, Mapping

Data Mining and Transformation

SQL Proficiency

Work closely with IT, PM and Operations partners

Develop Interfaces

Web GUI / API

Work with Data Providers Vendors (Internal & External)

Define EPICs and User Stories based on Client Requirements

Work with Stakeholders

Documentation and User Training

Skills

Must have

Working experience of 6 years min. as Business Analyst

Strong background in financial reference data and capital markets

Strong SQL knowledge required (able to query data, analyze and troubleshooting)

Strong Data analysis and data mapping skills

College degree, specialized training or equivalent work experience

Data Oriented with an excellent attention to detail

Experience/understanding of business process reengineering and business modeling concepts, systems development lifecycle

Must possess good communication skills with the ability to be assertive

Strong analytical skills and writing skills, to include solid experience in writing functional and technical specifications

Experience utilizing various SDLC methodologies like Waterfall, Agile (JIRA etc.)

Comprehensive knowledge of the Testing Lifecycle with SIT, UAT, and Production

Understanding of Data Vendor/Data Source Hierarchy for Golden Copy

Nice to have

Experience working with major securities indicative data providers (like Bloomberg, Reuters, IDC, Markit)

Project lead experience

Experience working closely with IT Project managers and development teams

Knowledge of MS Excel, Visio

Experience with vendor product implementation

Languages

English: C1 Advanced

• Project Description:

  Data Catalog program is an initiative to develop a centralized data management platform by bringing together all Group's data sources. The platform intends to contain suite of applications to manage different aspects around Data Governance specially:
  • Metadata Management across all applications with heavy focus building data catalog, identifying relationships across metadata, creating and managing tag hierarchies based on business context
  • Cloud based offerings to business and application users for accessing data catalog and associated data by creating unified Data Layer on top of all data sources. This will enable data consistency across and will serve an input to superior analytics helping drive business with meaningful insights
  • Promote self-service model for managing various aspects of data governance
  • Centralize risk management around data and improve regulatory data compliance requirements
  
  The platform has been built on leading edge technologies with the focus on developing potential machine learning and data mining capabilities.

• Responsibilities:

  Metadata Management
  • Lead onboarding of data providers onto the Data Highway platform
  • Manage the complete onboarding process (end to end) of data dictionaries and related datasets related to the assigned applications
  • Develop a subject matter expertise on the data dictionaries, datasets and relationships between different datasets for the assigned applications
  • Ensure the data quality of data dictionaries and underlying datasets for the assigned applications. This will include working actively with data providers in resolving any conflicts, issues pertaining to data dictionaries, datasets available on Data Highway for the assigned applications
  
  System Analysis
  • Develop deep functional knowledge on Data Highway suite of applications
  • Lead and drive the system improvements across the Data Highway's suite of applications
  • Develop detailed functional solution for the proposed enhancements and work with technology partners from implementation purposes
  • Develop detailed understanding of underlying data model for each of the above-mentioned applications
  • Work with UX/UI designers in case of any user interface-related requirements.
  • Develop and execute test cases pertaining to enhancements
  • Manage backlog of enhancements for the assigned module/sub-module within an application
  • Work diligently on resolving any production issues reported by business users
  • Coordinate with end users during UAT execution and work with development team to resolve any open issues in timely manner
  • Work with release management team to ensure all the planned items are released as per release plan
  
  User Engagement and Operational Process Improvement
  • Engage users at all levels i.e. data providers, business users, stake-holders
  • Conduct user trainings, demos on Data Highway suite of applications when required
  • Actively seek user feedback on the features they use with the goal of getting a sense of any user experience issue, potential enhancements/improvements
  • Provide monthly updates to senior management team on the current state of their assigned applications, enhancements/improvements
  • Strive to make the overall process more efficient either by proposing any potential automations or building new capabilities within the Data Highway suite of applications

• Mandatory Skills:
  • Business Analysis
  • Data Analysis

• Mandatory Skills Description:

  • Bachelor Degree in Information Technology, Computer Science, Data Science or relevant 5+ years of experience
  • Proven experience in a technical BA position
  • Analytical mindset with good attention to detail
  • Practical experience in both reading and documenting functional requirements
  • Solid SQL knowledge.
  • Data modeling knowledge. Should be comfortable in understanding data model either via an ER diagram or reading through data dictionaries.
  • Good Excel knowledge. Should be comfortable performing vlook ups, creating pivot tables.
  • Self-starter attitude and ability to work independently
  • Excellent communication skills
  • Team-player and ability to build strong working relationships amongst diverse peers

• Nice-to-Have Skills Description:

  • Master's Degree in Information Technology, Computer Science, Data Science
  • Enterprise data governance experience specially around creating/maintaining data catalog, data dictionaries, identifying data lineage across multiple applications
  • Past experience with Collibra and/or Solidatus
  • Subject matter expertise in one or more functional areas in the banking sector
  • Understanding of agile software development methodologies
  • Prior development experience helpful but not necessary
  • Experience with large-scale datasets and/or transactional data
  • Prior experience working with APIs, and/or Kafka data streaming.
  • Prior experience with reconciliation and data quality reporting

Project description

Data Catalog program is an initiative to develop a centralized data management platform by bringing together all Group's data sources. The platform intends to contain suite of applications to manage different aspects around Data Governance specially:
• Metadata Management across all applications with heavy focus building data catalog, identifying relationships across metadata, creating and managing tag hierarchies based on business context
• Cloud based offerings to business and application users for accessing data catalog and associated data by creating unified Data Layer on top of all data sources. This will enable data consistency across and will serve an input to superior analytics helping drive business with meaningful insights
• Promote self-service model for managing various aspects of data governance
• Centralize risk management around data and improve regulatory data compliance requirements

The platform has been built on leading edge technologies with the focus on developing potential machine learning and data mining capabilities.

Responsibilities

Metadata Management

Lead onboarding of data providers onto the Data Highway platform

Manage the complete onboarding process (end to end) of data dictionaries and related datasets related to the assigned applications

Develop a subject matter expertise on the data dictionaries, datasets and relationships between different datasets for the assigned applications

Ensure the data quality of data dictionaries and underlying datasets for the assigned applications. This will include working actively with data providers in resolving any conflicts, issues pertaining to data dictionaries, datasets available on Data Highway for the assigned applications

System Analysis

Develop deep functional knowledge on Data Highway suite of applications

Lead and drive the system improvements across the Data Highway's suite of applications

Develop detailed functional solution for the proposed enhancements and work with technology partners from implementation purposes

Develop detailed understanding of underlying data model for each of the above-mentioned applications

Work with UX/UI designers in case of any user interface-related requirements.

Develop and execute test cases pertaining to enhancements

Manage backlog of enhancements for the assigned module/sub-module within an application

Work diligently on resolving any production issues reported by business users

Coordinate with end users during UAT execution and work with development team to resolve any open issues in timely manner

Work with release management team to ensure all the planned items are released as per release plan

User Engagement and Operational Process Improvement

Engage users at all levels i.e. data providers, business users, stake-holders

Conduct user trainings, demos on Data Highway suite of applications when required

Actively seek user feedback on the features they use with the goal of getting a sense of any user experience issue, potential enhancements/improvements

Provide monthly updates to senior management team on the current state of their assigned applications, enhancements/improvements

Strive to make the overall process more efficient either by proposing any potential automations or building new capabilities within the Data Highway suite of applications

Skills

Must have

Bachelor Degree in Information Technology, Computer Science, Data Science or relevant 5+ years of experience

Proven experience in a technical BA position

Analytical mindset with good attention to detail

Practical experience in both reading and documenting functional requirements

Solid SQL knowledge.

Data modeling knowledge. Should be comfortable in understanding data model either via an ER diagram or reading through data dictionaries.

Good Excel knowledge. Should be comfortable performing vlook ups, creating pivot tables.

Self-starter attitude and ability to work independently

Excellent communication skills

Team-player and ability to build strong working relationships amongst diverse peers

Prior experience working with APIs, and/or Kafka data streaming.

Nice to have

Master's Degree in Information Technology, Computer Science, Data Science

Enterprise data governance experience specially around creating/maintaining data catalog, data dictionaries, identifying data lineage across multiple applications

Past experience with Collibra and/or Solidatus

Subject matter expertise in one or more functional areas in the banking sector

Understanding of agile software development methodologies

Prior development experience helpful but not necessary

Experience with large-scale datasets and/or transactional data

Prior experience with reconciliation and data quality reporting

Languages

English: B2 Upper Intermediate

• Project Description:

  Applying to the position, you may join one of the most respected and fastest growing institutional investors in the world. Our client is a professional investment management organization that globally invests the funds to ensure long-term sustainability. The company invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments.
  Client attracts and selects high-calibre individuals from top-tier institutions around the globe. Join our team and look forward to:
  • Diverse and inspiring colleagues and approachable leaders
  • Stimulating work in a fast-paced, intellectually challenging environment
  • Accelerated exposure and responsibility
  • Global career development opportunities
  • Being motivated every day by important social purpose and unshakable principles
  • A deeply rooted culture of Integrity, Partnership and High Performance
  If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here's an opportunity.

   

• Responsibilities:

  • Manage timelines/deliverables within the team towards the successful delivery of projects.
  • Design software solutions by interacting with portfolio managers, traders, operations staff and peers to understand requirements.
  • Develop solutions that are in line with client's technology biases, deliver efficiency and scalability, and enable new trading activities.
  • Provide knowledge transfer to team members and support staff through application demos, walkthroughs, and documentation.

   

• Mandatory Skills Description:

  • Angular : Strong hands-on coding experience with version 17 and above, aware of best practices in UI / UX design, understanding of data binding.
  
  • Python : Fundamental knowledge of the technology, hands on coding experience, experience with Python Pandas, independently handle installation of Python technical components.
  
  • Cloud Technology preferably AWS : MWAA (Airflow) experience, worked on services like RDS, S3 buckets etc. or equivalent in other Cloud platforms.

   

• Nice-to-Have Skills Description:

  • Experience with web frameworks like Flask, FastAPI
  • SQL experience (preferably with SQL Alchemy)

   

• Languages:
  • English: C1 Advanced

Project Description:

Data Catalog program is an initiative to develop a centralized data management platform by bringing together all Group's data sources. The platform intends to contain suite of applications to manage different aspects around Data Governance specially:
• Metadata Management across all applications with heavy focus building data catalog, identifying relationships across metadata, creating and managing tag hierarchies based on business context
• Cloud based offerings to business and application users for accessing data catalog and associated data by creating unified Data Layer on top of all data sources. This will enable data consistency across and will serve an input to superior analytics helping drive business with meaningful insights
• Promote self-service model for managing various aspects of data governance
• Centralize risk management around data and improve regulatory data compliance requirements
The platform has been built on leading edge technologies with the focus on developing potential machine learning and data mining capabilities.

Responsibilities:

Metadata Management
• Lead onboarding of data providers onto the Data Highway platform
• Manage the complete onboarding process (end to end) of data dictionaries and related datasets related to the assigned applications
• Develop a subject matter expertise on the data dictionaries, datasets and relationships between different datasets for the assigned applications
• Ensure the data quality of data dictionaries and underlying datasets for the assigned applications. This will include working actively with data providers in resolving any conflicts, issues pertaining to data dictionaries, datasets available on Data Highway for the assigned applications

System Analysis
• Develop deep functional knowledge on Data Highway suite of applications
• Lead and drive the system improvements across the Data Highway's suite of applications
• Develop detailed functional solution for the proposed enhancements and work with technology partners from implementation purposes
• Develop detailed understanding of underlying data model for each of the above-mentioned applications
• Work with UX/UI designers in case of any user interface-related requirements.
• Develop and execute test cases pertaining to enhancements
• Manage backlog of enhancements for the assigned module/sub-module within an application
• Work diligently on resolving any production issues reported by business users
• Coordinate with end users during UAT execution and work with development team to resolve any open issues in timely manner
• Work with release management team to ensure all the planned items are released as per release plan

User Engagement and Operational Process Improvement
• Engage users at all levels i.e. data providers, business users, stake-holders
• Conduct user trainings, demos on Data Highway suite of applications when required
• Actively seek user feedback on the features they use with the goal of getting a sense of any user experience issue, potential enhancements/improvements
• Provide monthly updates to senior management team on the current state of their assigned applications, enhancements/improvements
• Strive to make the overall process more efficient either by proposing any potential automations or building new capabilities within the Data Highway suite of applications
 

Mandatory Skills Description:

• Bachelor Degree in Information Technology, Computer Science, Data Science or relevant 5+ years of experience
• Proven experience in a technical BA position
• Analytical mindset with good attention to detail
• Practical experience in both reading and documenting functional requirements
• Solid SQL knowledge.
• Data modeling knowledge. Should be comfortable in understanding data model either via an ER diagram or reading through data dictionaries.
• Good Excel knowledge. Should be comfortable performing vlook ups, creating pivot tables.
• Self-starter attitude and ability to work independently
• Excellent communication skills
• Team-player and ability to build strong working relationships amongst diverse peers
• Prior experience working with APIs, and/or Kafka data streaming.

Nice-to-Have Skills Description:

• Master's Degree in Information Technology, Computer Science, Data Science
• Enterprise data governance experience specially around creating/maintaining data catalog, data dictionaries, identifying data lineage across multiple applications
• Past experience with Collibra and/or Solidatus
• Subject matter expertise in one or more functional areas in the banking sector
• Understanding of agile software development methodologies
• Prior development experience helpful but not necessary
• Experience with large-scale datasets and/or transactional data
• Prior experience with reconciliation and data quality reporting

Languages:

English: B2 Upper Intermediate

• Project Description:

  Our client is a leading global Financial markets data provider that runs many change programs to deliver high-quality software that connects Financial Markets across the globe in a real-time, high-frequency, and low-latency data management chain.  The projects are technically challenging in a very engaging environment making the most of cutting-edge technologies.
  As part of the SDLC, the Real-Time project DevOps Engineer will develop and automate all aspects of application reliability using common industry tools (Jenkins, GitLab, Concourse) and practices increasing wider efficiency, and reducing toil while also improving reliability across all major CSPs.
  In this role, the candidate will be expected to be a highly proactive and knowledgeable DevOps Engineer working with product, development, and QA in our effort to continually improve the operability, scalability, security, and cost of every Public Cloud Real-Time application we deploy and manage.

   

• Responsibilities:

  • Design, implement and manage infrastructure as code using Terraform.
  • Develop and maintain CI/CD pipelines using tools like Gitlab, Jenkins.
  • Set up and maintain monitoring dashboards and work with tools like Datadog, Grafana, CloudWatch.
  • Contributes toward product and internal documentation - technical specifications, software documentation and unit test plans.
  • Assists in resolution of field problems as needed while working alongside other teams.
  • Collaborates with QA to deliver products of best quality.
  • Follows security best practices and works with security teams to address vulnerabilities.

   

• Mandatory Skills Description:

  • 8+ years of proven experience as a DevOps Engineer or similar role.
  • Strong experience with Azure cloud platform, experience with AWS.
  • Good working knowledge of Terraform.
  • Experience with CI/CD tools and practices (Gitlab, Jenkins).
  • Knowledge of containerization tools such as Docker and Kubernetes.
  • Experience with Monitoring platforms (Datadog, Prometheus/Grafana, Cloudwatch, Azure Monitor)
  • Experience with Monitoring Integration (statsd, OpenTelemetry, APM) is a plus.
  • Working experience with scripting languages like Python.
  • Working experience with Memory safe languages (Java, Go, Rust) is a plus.
  • Strong knowledge of networking concepts and protocols (TCP/IP, UDP, multicast).
  • Strong written & verbal communication skills.

   

• Nice-to-Have Skills Description:

  • Financial domain experience.
  • Degree in Computer Science or Engineering or equivalent.

   

• Languages:
  • English: B2 Upper Intermediate

Project Description:

Our client is a leading global Financial markets data provider that runs many change programs to deliver high-quality software that connects Financial Markets across the globe in a real-time, high-frequency, and low-latency data management chain. The projects are technically challenging in a very engaging environment making the most of cutting-edge technologies.

As part of the SDLC, the Real-Time project DevOps Engineer will develop and automate all aspects of application reliability using common industry tools (Jenkins, GitLab, Concourse) and practices increasing wider efficiency, and reducing toil while also improving reliability across all major CSPs.

In this role, the candidate will be expected to be a highly proactive and knowledgeable DevOps Engineer working with product, development, and QA in our effort to continually improve the operability, scalability, security, and cost of every Public Cloud Real-Time application we deploy and manage.

Responsibilities:

• Design, implement and manage infrastructure as code using Terraform.
• Develop and maintain CI/CD pipelines using tools like Gitlab, Jenkins.
• Set up and maintain monitoring dashboards and work with tools like Datadog, Grafana, CloudWatch.
• Contributes toward product and internal documentation - technical specifications, software documentation and unit test plans.
• Assists in resolution of field problems as needed while working alongside other teams.
• Collaborates with QA to deliver products of best quality.
• Follows security best practices and works with security teams to address vulnerabilities.

Mandatory Skills:

• CI/CD
• Cloud Concepts
• Docker
• HashiCorp Terraform
• Kubernetes

Mandatory Skills Description:

• 8+ years of proven experience as a DevOps Engineer or similar role.
• Strong experience with Azure cloud platform, experience with AWS.
• Good working knowledge of Terraform.
• Experience with CI/CD tools and practices (Gitlab, Jenkins).
• Knowledge of containerization tools such as Docker and Kubernetes.
• Experience with Monitoring platforms (Datadog, Prometheus/Grafana, Cloudwatch, Azure Monitor)
• Experience with Monitoring Integration (statsd, OpenTelemetry, APM) is a plus.
• Working experience with scripting languages like Python.
• Working experience with Memory safe languages (Java, Go, Rust) is a plus.
• Strong knowledge of networking concepts and protocols (TCP/IP, UDP, multicast).
• Strong written & verbal communication skills.

Nice-to-Have Skills Description:

• Financial domain experience.
• Degree in Computer Science or Engineering or equivalent.

Languages:

English: B2 Upper Intermediate

• Project Description:

  Data Catalog program is an initiative to develop a centralized data management platform by bringing together all Group's data sources. The platform intends to contain suite of applications to manage different aspects around Data Governance specially:
  • Metadata Management across all applications with heavy focus building data catalog, identifying relationships across metadata, creating and managing tag hierarchies based on business context
  • Cloud based offerings to business and application users for accessing data catalog and associated data by creating unified Data Layer on top of all data sources. This will enable data consistency across and will serve an input to superior analytics helping drive business with meaningful insights
  • Promote self-service model for managing various aspects of data governance
  • Centralize risk management around data and improve regulatory data compliance requirements
  
  The platform has been built on leading edge technologies with the focus on developing potential machine learning and data mining capabilities.

• Responsibilities:

  Metadata Management
  • Lead onboarding of data providers onto the Data Highway platform
  • Manage the complete onboarding process (end to end) of data dictionaries and related datasets related to the assigned applications
  • Develop a subject matter expertise on the data dictionaries, datasets and relationships between different datasets for the assigned applications
  • Ensure the data quality of data dictionaries and underlying datasets for the assigned applications. This will include working actively with data providers in resolving any conflicts, issues pertaining to data dictionaries, datasets available on Data Highway for the assigned applications
  
  System Analysis
  • Develop deep functional knowledge on Data Highway suite of applications
  • Lead and drive the system improvements across the Data Highway's suite of applications
  • Develop detailed functional solution for the proposed enhancements and work with technology partners from implementation purposes
  • Develop detailed understanding of underlying data model for each of the above-mentioned applications
  • Work with UX/UI designers in case of any user interface-related requirements.
  • Develop and execute test cases pertaining to enhancements
  • Manage backlog of enhancements for the assigned module/sub-module within an application
  • Work diligently on resolving any production issues reported by business users
  • Coordinate with end users during UAT execution and work with development team to resolve any open issues in timely manner
  • Work with release management team to ensure all the planned items are released as per release plan
  
  User Engagement and Operational Process Improvement
  • Engage users at all levels i.e. data providers, business users, stake-holders
  • Conduct user trainings, demos on Data Highway suite of applications when required
  • Actively seek user feedback on the features they use with the goal of getting a sense of any user experience issue, potential enhancements/improvements
  • Provide monthly updates to senior management team on the current state of their assigned applications, enhancements/improvements
  • Strive to make the overall process more efficient either by proposing any potential automations or building new capabilities within the Data Highway suite of applications
   

• Mandatory Skills Description:

  • Bachelor Degree in Information Technology, Computer Science, Data Science or relevant 5+ years of experience
  • Proven experience in a technical BA position
  • Analytical mindset with good attention to detail
  • Practical experience in both reading and documenting functional requirements
  • Solid SQL knowledge.
  • Data modeling knowledge. Should be comfortable in understanding data model either via an ER diagram or reading through data dictionaries.
  • Good Excel knowledge. Should be comfortable performing vlook ups, creating pivot tables.
  • Self-starter attitude and ability to work independently
  • Excellent communication skills
  • Team-player and ability to build strong working relationships amongst diverse peers
  • Prior experience working with APIs, and/or Kafka data streaming.
   

• Nice-to-Have Skills Description:

  • Master's Degree in Information Technology, Computer Science, Data Science
  • Enterprise data governance experience specially around creating/maintaining data catalog, data dictionaries, identifying data lineage across multiple applications
  • Past experience with Collibra and/or Solidatus
  • Subject matter expertise in one or more functional areas in the banking sector
  • Understanding of agile software development methodologies
  • Prior development experience helpful but not necessary
  • Experience with large-scale datasets and/or transactional data
  • Prior experience with reconciliation and data quality reporting

• Project Description:

  Data Catalog program is an initiative to develop a centralized data management platform by bringing together all Group's data sources. The platform intends to contain suite of applications to manage different aspects around Data Governance specially:
  • Metadata Management across all applications with heavy focus building data catalog, identifying relationships across metadata, creating and managing tag hierarchies based on business context
  • Cloud based offerings to business and application users for accessing data catalog and associated data by creating unified Data Layer on top of all data sources. This will enable data consistency across and will serve an input to superior analytics helping drive business with meaningful insights
  • Promote self-service model for managing various aspects of data governance
  • Centralize risk management around data and improve regulatory data compliance requirements
  
  The platform has been built on leading edge technologies with the focus on developing potential machine learning and data mining capabilities.

   

• Responsibilities:

  Metadata Management
  • Lead onboarding of data providers onto the Data Highway platform
  • Manage the complete onboarding process (end to end) of data dictionaries and related datasets related to the assigned applications
  • Develop a subject matter expertise on the data dictionaries, datasets and relationships between different datasets for the assigned applications
  • Ensure the data quality of data dictionaries and underlying datasets for the assigned applications. This will include working actively with data providers in resolving any conflicts, issues pertaining to data dictionaries, datasets available on Data Highway for the assigned applications
  
  System Analysis
  • Develop deep functional knowledge on Data Highway suite of applications
  • Lead and drive the system improvements across the Data Highway's suite of applications
  • Develop detailed functional solution for the proposed enhancements and work with technology partners from implementation purposes
  • Develop detailed understanding of underlying data model for each of the above-mentioned applications
  • Work with UX/UI designers in case of any user interface-related requirements.
  • Develop and execute test cases pertaining to enhancements
  • Manage backlog of enhancements for the assigned module/sub-module within an application
  • Work diligently on resolving any production issues reported by business users
  • Coordinate with end users during UAT execution and work with development team to resolve any open issues in timely manner
  • Work with release management team to ensure all the planned items are released as per release plan
  
  User Engagement and Operational Process Improvement
  • Engage users at all levels i.e. data providers, business users, stake-holders
  • Conduct user trainings, demos on Data Highway suite of applications when required
  • Actively seek user feedback on the features they use with the goal of getting a sense of any user experience issue, potential enhancements/improvements
  • Provide monthly updates to senior management team on the current state of their assigned applications, enhancements/improvements
  • Strive to make the overall process more efficient either by proposing any potential automations or building new capabilities within the Data Highway suite of applications

   

• Mandatory Skills Description:

  • Bachelor Degree in Information Technology, Computer Science, Data Science or relevant 5+ years of experience
  • Proven experience in a technical BA position
  • Analytical mindset with good attention to detail
  • Practical experience in both reading and documenting functional requirements
  • Solid SQL knowledge.
  • Data modeling knowledge. Should be comfortable in understanding data model either via an ER diagram or reading through data dictionaries.
  • Good Excel knowledge. Should be comfortable performing vlook ups, creating pivot tables.
  • Self-starter attitude and ability to work independently
  • Excellent communication skills
  • Team-player and ability to build strong working relationships amongst diverse peers
  • Prior experience working with APIs, and/or Kafka data streaming.

   

• Nice-to-Have Skills Description:

  • Master's Degree in Information Technology, Computer Science, Data Science
  • Enterprise data governance experience specially around creating/maintaining data catalog, data dictionaries, identifying data lineage across multiple applications
  • Past experience with Collibra and/or Solidatus
  • Subject matter expertise in one or more functional areas in the banking sector
  • Understanding of agile software development methodologies
  • Prior development experience helpful but not necessary
  • Experience with large-scale datasets and/or transactional data
  • Prior experience with reconciliation and data quality reporting

   

• Languages:
  • English: B2 Upper Intermediate

• Project Description:

  The company is looking for an experienced Python Developer (Mid/Senior level) with some Java experience. The role involves developing and maintaining financial software solutions, integrating external systems, and ensuring seamless data flow. The ideal candidate should be proficient in Python, API integration, Docker, Unix scripting, and AWS services. Experience with Advent Geneva or similar financial systems is a plus.

   

• Responsibilities:

  • Collaborate with cross-functional teams to design, develop, and maintain robust software solutions using Python in the finance domain.
  • Implement integration with external systems, such as APIs from financial data providers, trading platforms, or third-party services.
  • Develop and optimize backend services in Python, ensuring high performance and reliability.
  • Implement unit tests and automated testing to ensure code quality and maintainability.
  • Provide Level 2 technical support, troubleshooting complex issues escalated from the first line of support.
  • Work with Docker containers for application deployment and system management.
  • Utilize Unix shell scripting for automation, monitoring, and administrative tasks.
  • Employ AWS services to build scalable, secure and reliable cloud-based solutions.
  • Participate in the full software development lifecycle, from requirements gathering to deployment and maintenance.
  • Stay up-to-date with emerging technologies and best practices in software development.

   

• Mandatory Skills Description:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Minimum of 5 years of professional experience in Python 3 development, using frameworks such Django, Flask or FastAPI.
  • Experience integrating external systems via RESTful APIs, WebSockets, or web services.
  • Some experience with Java for backend processes.
  • Hands-on experience with Docker containers for deployment and management.
  • Familiarity with Unix shell scripting for automation and administrative tasks.
  • Experience with AWS services for cloud-based solutions (e.g., EC2, Cloudwatch).
  • Prior experience in Level 2 support, investigating and resolving technical issues.
  • Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Excellent communication skills and ability to collaborate with diverse teams.

   

• Nice-to-Have Skills Description:

  • Familiarity with financial concepts, instruments, and markets (e.g., stocks, options, derivatives) is a plus.
  • Experience with Advent Geneva or similar applications would be an advantage.
  
  • Understanding of distributed/cloud computing technologies and emerging computing trends
  • Self-starter and critical thinker, takes ownership of own projects and makes improvement suggestions for the entire infrastructure
  • Strong written and oral communications skills.

   

• Languages:
  • English: B2 Upper Intermediate

• Project Description:

  The company is looking for an experienced Python Developer (Mid/Senior level) with some JavaScript/TypeScript experience. The role involves developing and maintaining financial software solutions, integrating external systems, and ensuring seamless data flow. The ideal candidate should be proficient in Python, API integration, Docker, Unix scripting, and AWS services. Experience with Advent Geneva or similar financial systems is a plus.

• Responsibilities:

  • Collaborate with cross-functional teams to design, develop, and maintain robust software solutions using Python in the finance domain.
  • Implement integration with external systems, such as APIs from financial data providers, trading platforms, or third-party services.
  • Develop and optimize backend services in Python, ensuring high performance and reliability.
  • Implement unit tests and automated testing to ensure code quality and maintainability.
  • Provide Level 2 technical support, troubleshooting complex issues escalated from the first line of support.
  • Work with Docker containers for application deployment and system management.
  • Utilize Unix shell scripting for automation, monitoring, and administrative tasks.
  • Employ AWS services to build scalable, secure and reliable cloud-based solutions.
  • Participate in the full software development lifecycle, from requirements gathering to deployment and maintenance.
  • Stay up-to-date with emerging technologies and best practices in software development.

• Mandatory Skills Description:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Minimum of 5 years of professional experience in Python 3 development, using frameworks such Django, Flask or FastAPI.
  • Experience integrating external systems via RESTful APIs, WebSockets, or web services.
  • Some experience with Java for backend processes.
  • Hands-on experience with Docker containers for deployment and management.
  • Familiarity with Unix shell scripting for automation and administrative tasks.
  • Experience with AWS services for cloud-based solutions (e.g., EC2, Cloudwatch).
  • Prior experience in Level 2 support, investigating and resolving technical issues.
  • Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Excellent communication skills and ability to collaborate with diverse teams.

• Nice-to-Have Skills Description:

  • Familiarity with financial concepts, instruments, and markets (e.g., stocks, options, derivatives) is a plus.
  • Experience with Advent Geneva or similar applications would be an advantage.
  
  • Understanding of distributed/cloud computing technologies and emerging computing trends
  • Self-starter and critical thinker, takes ownership of own projects and makes improvement suggestions for the entire infrastructure
  • Strong written and oral communications skills.

The company is looking for an experienced Python Developer (Mid/Senior level) with some JavaScript/TypeScript experience. The role involves developing and maintaining financial software solutions, integrating external systems, and ensuring seamless data flow. The ideal candidate should be proficient in Python, API integration, Docker, Unix scripting, and AWS services. Experience with Advent Geneva or similar financial systems is a plus.

• Responsibilities:

  • Collaborate with cross-functional teams to design, develop, and maintain robust software solutions using Python in the finance domain.
  • Implement integration with external systems, such as APIs from financial data providers, trading platforms, or third-party services.
  • Develop and optimize backend services in Python, ensuring high performance and reliability.
  • Implement unit tests and automated testing to ensure code quality and maintainability.
  • Provide Level 2 technical support, troubleshooting complex issues escalated from the first line of support.
  • Work with Docker containers for application deployment and system management.
  • Utilize Unix shell scripting for automation, monitoring, and administrative tasks.
  • Employ AWS services to build scalable, secure and reliable cloud-based solutions.
  • Participate in the full software development lifecycle, from requirements gathering to deployment and maintenance.
  • Stay up-to-date with emerging technologies and best practices in software development.

• Mandatory Skills Description:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Minimum of 5 years of professional experience in Python 3 development, using frameworks such Django, Flask or FastAPI.
  • Experience integrating external systems via RESTful APIs, WebSockets, or web services.
  • Some experience with Java for backend processes.
  • Hands-on experience with Docker containers for deployment and management.
  • Familiarity with Unix shell scripting for automation and administrative tasks.
  • Experience with AWS services for cloud-based solutions (e.g., EC2, Cloudwatch).
  • Prior experience in Level 2 support, investigating and resolving technical issues.
  • Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Excellent communication skills and ability to collaborate with diverse teams.

• Nice-to-Have Skills Description:

  • Familiarity with financial concepts, instruments, and markets (e.g., stocks, options, derivatives) is a plus.
  • Experience with Advent Geneva or similar applications would be an advantage.
  
  • Understanding of distributed/cloud computing technologies and emerging computing trends
  • Self-starter and critical thinker, takes ownership of own projects and makes improvement suggestions for the entire infrastructure
  • Strong written and oral communications skills.

• Project Description:

  The company is looking for an experienced Python Developer (Mid/Senior level) with some JavaScript/TypeScript experience. The role involves developing and maintaining financial software solutions, integrating external systems, and ensuring seamless data flow. The ideal candidate should be proficient in Python, API integration, Docker, Unix scripting, and AWS services. Experience with Advent Geneva or similar financial systems is a plus.

• Responsibilities:

  • Collaborate with cross-functional teams to design, develop, and maintain robust software solutions using Python in the finance domain.
  • Implement integration with external systems, such as APIs from financial data providers, trading platforms, or third-party services.
  • Develop and optimize backend services in Python, ensuring high performance and reliability.
  • Implement unit tests and automated testing to ensure code quality and maintainability.
  • Provide Level 2 technical support, troubleshooting complex issues escalated from the first line of support.
  • Work with Docker containers for application deployment and system management.
  • Utilize Unix shell scripting for automation, monitoring, and administrative tasks.
  • Employ AWS services to build scalable, secure and reliable cloud-based solutions.
  • Participate in the full software development lifecycle, from requirements gathering to deployment and maintenance.
  • Stay up-to-date with emerging technologies and best practices in software development.

• Mandatory Skills Description:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Minimum of 5 years of professional experience in Python 3 development, using frameworks such Django, Flask or FastAPI.
  • Experience integrating external systems via RESTful APIs, WebSockets, or web services.
  • Some experience with Java for backend processes.
  • Hands-on experience with Docker containers for deployment and management.
  • Familiarity with Unix shell scripting for automation and administrative tasks.
  • Experience with AWS services for cloud-based solutions (e.g., EC2, Cloudwatch).
  • Prior experience in Level 2 support, investigating and resolving technical issues.
  • Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Excellent communication skills and ability to collaborate with diverse teams.

• Nice-to-Have Skills Description:

  • Familiarity with financial concepts, instruments, and markets (e.g., stocks, options, derivatives) is a plus.
  • Experience with Advent Geneva or similar applications would be an advantage.
  
  • Understanding of distributed/cloud computing technologies and emerging computing trends
  • Self-starter and critical thinker, takes ownership of own projects and makes improvement suggestions for the entire infrastructure
  • Strong written and oral communications skills.

• Languages:
  • English: B2 Upper Intermediate