Data Analyst/Engineer

Industry: Banking and Finance
Location: Remote (European Union)
Start Date: ASAP
 

About the Role

We are looking for a skilled Data Analyst/Engineer to collaborate with Data Scientists and Risk Strategy SMEs in developing and implementing top-tier fraud prevention strategies. This role involves data analysis, ETL processes, data visualization, and fraud pattern investigation to propose and implement rules that prevent fraudulent activities.


Key Responsibilities

  • Work with project teams to define business questions and data requirements.
  • Collaborate with business analysts and data scientists to perform data mapping and schema validation.
  • Design, implement, and maintain programs for data cleaning, extraction, segmentation, and statistical analysis on large datasets using Python, PostgreSQL, and Azure Data Stack.
  • Analyze fraud and market trends to extract actionable insights.
  • Develop, test, and optimize fraud detection rules and strategies.
  • Monitor risk strategy performance, investigate issues, and implement improvements.
  • Work closely with internal and external stakeholders to ensure data and insights support business objectives.


Required Qualifications & Skills

  • 5+ years of experience in a Data Analyst, Systems Analyst, or related role.
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.


Technical Skills

  • Strong knowledge of data warehouse design and management.
  • Experience with ETL pipelines and scripting/programming for data analysis (e.g., Python, PostgreSQL).
  • Familiarity with Azure Data Stack and cloud-based data solutions.
  • Proficiency in data visualization tools (e.g., Tableau, Google Data Studio).
  • Understanding of reporting techniques and analytical frameworks.


Nice to Have

  • Experience with issue tracking software (e.g., JIRA, Zendesk).


Tech Stack

Required: PostgreSQL, Python
Preferred: JIRA, Zendesk

 

If you are passionate about data and fraud prevention strategies, we'd love to hear from you! 🚀

Published 7 March
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