Data Analyst – Risk & Compliance

Ovii's Interpretation of the Role

We need a data‑driven analyst to turn transaction data into actionable risk controls for our compliance team. You’ll use SQL and visualization tools to uncover fraud patterns, translate findings into rules, and partner with product and engineering to improve detection.

Role Snapshot

• SQL‑driven transaction analysis
• Risk & AML insight generation
• Rule and workflow design
• Dashboard and reporting creation
• Cross‑functional stakeholder collaboration
• Data‑driven process improvement

Must-Have Requirements

• SQL
• Data visualization (Tableau, Power BI, Looker or similar)
• data analytics
• risk
• fraud
• compliance
• financial services

Nice-to-Have Signals

• Python (Pandas, NumPy)
• Exposure to rule engines, decision systems, or risk platforms
• Understanding of experimentation / threshold tuning / performance optimization

Work Setup

• Location: Bangalore, India
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications
• Travel
• Security clearance
• Coding test

What You'll Likely Work On

• Analyze large transaction datasets with SQL to detect fraud, AML, and compliance risks.
• Translate analytical findings into risk rules, thresholds, and workflow adjustments.
• Build and maintain dashboards and reports that inform compliance and product decisions.
• Evaluate effectiveness of risk controls using metrics such as alert rates and false‑positive ratios.
• Conduct deep‑dive investigations to support financial‑crime initiatives and recommend process improvements.
• Partner with engineering to implement scalable, auditable decision‑making systems.

Good Fit If You Have

• Comfortable working with both technical and non‑technical stakeholders.
• Experience in financial‑services or fraud detection environments is a plus.
• Familiarity with rule engines or decision platforms beneficial.
• Think in terms of signals, patterns, and system behavior.
• Strong problem‑solving mindset and data‑to‑decision orientation.