Data Analyst – Risk & Compliance

📋 Description

• Analyze large-scale transaction datasets using SQL to identify fraud and AML risk patterns.
• Translate analytical findings into clear actions (rules, thresholds, workflows, policy inputs).
• Collaborate with Compliance, Risk, and Product to convert regulatory requirements into data logic and system rules.
• Evaluate risk controls using data (alert rates, false positives, precision/recall).
• Design, build, and maintain dashboards and reporting for decision-making.
• Partner with engineering to implement scalable, auditable decisioning systems.

🎯 Requirements

• 3–6 years of experience in data analytics, risk, fraud, compliance, or financial services.
• Strong proficiency in SQL (mandatory) ability to independently extract, join, and analyze large datasets.
• Proven ability to connect data insights to business decisions and outcomes.
• Experience building dashboards / visualizations (Tableau, Power BI, Looker, or similar).
• Strong analytical thinking with a problem-solving, data-to-decision mindset.
• Familiarity with Python (Pandas, NumPy) for data analysis.

🎁 Benefits

• Hybrid working environment (3 days per week in the office).
• Medical coverage and 24/7 employee assistance program.
• Learning stipend and internal training opportunities.
• Company events and focus on diversity and inclusion.