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! 🚀