Senior Python developer Offline

Building a trading platform for innovative international top-tier hedge fund from the ground up, comprising of front-office system for traders, pre-trade checks and analysis, intra-day positions management, order management and routing, risks and limits management, reports of trading activities, FIX connectivity, market data providers connectivity (e.g. Bloomberg B-pipe).

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, ensuring seamless data flow and functionality.

-Implement and conduct unit testing to ensure code quality, reliability, and maintainability.

-Provide level two support, investigating and troubleshooting complex issues escalated from the first line of support, analyzing root causes, and implementing solutions.

-Proficiently work with Docker containers for application deployment and management.

-Utilize Unix shell scripting for automation, monitoring, and administrative tasks.

-Employ AWS services for cloud-based solutions, ensuring scalability, security, and reliability.

-Participate in the full software development lifecycle, from requirements gathering to design, coding, testing, deployment, and maintenance.

-Learn and apply new technologies to enhance software capabilities.

-Work with external vendors or partners to understand their APIs and effectively integrate their systems with our platform.

Mandatory Skills Description:

-Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.

-4+ years of hands-on experience in Python 3 programming language and related libraries/frameworks (such as pandas, NumPy, Flask, Django).

-Experience with integrating external systems through APIs and web services.

-Prior experience providing level two support, investigating, and resolving escalated technical issues.

-Strong knowledge of Docker containers for application deployment and management.

-Unix shell scripting for automation and administrative tasks.

Experience with AWS services for cloud-based solutions (e.g., EC2, Cloudwatch).

-Self-motivated with a strong ability to work independently and drive projects forward.

-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:

Data Science/Analysis background

• Proficient at working with large datasets

• Expertise in creating and modifying cross-language systems

• Familiarity with financial concepts, instruments, and markets (e.g., stocks, options, derivatives) is a plus.

• 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.