Data Analyst – Risk & Compliance

You will analyze large-scale transaction datasets using SQL to identify fraud, AML, and compliance risk patterns. You will translate your analytical findings into clear business actions such as rule tuning, thresholds, workflows, and policy inputs. You will work with Compliance, Risk, and Product teams to convert regulatory requirements into data logic and system rules, and evaluate the effectiveness of risk controls using data like alert rates, false positives, precision/recall, and conversion impact. You will design, build, and maintain dashboards and reporting that drive decision-making, perform deep-dive analyses and investigations to support financial crime initiatives, identify gaps and inefficiencies in current processes, and recommend data-driven improvements. You will also partner with engineering to implement scalable and auditable decisioning systems.

Responsibilities

• Analyze large-scale transaction datasets using SQL to identify fraud, AML, and compliance risk patterns
• Translate analytical findings into clear business actions such as rule tuning, thresholds, workflows, and policy inputs
• Work with Compliance, Risk, and Product teams to convert regulatory requirements into data logic and system rules
• Evaluate effectiveness of risk controls using data including alert rates, false positives, precision/recall, and conversion impact
• Design, build, and maintain dashboards and reporting that drive decision-making
• Perform deep-dive analyses and investigations to support financial crime initiatives
• Identify gaps and inefficiencies in current processes and recommend data-driven improvements
• Partner with engineering to implement scalable and auditable decisioning systems

Requirements

• 3-6 years of experience in data analytics, risk, fraud, compliance, or financial services
• Strong proficiency in SQL (mandatory) with ability to independently extract, join, and analyze large datasets
• Proven ability to connect data insights to business decisions and outcomes
• Experience building dashboards and visualizations (Tableau, Power BI, Looker, or similar)
• Strong analytical thinking with a problem-solving, data-to-decision mindset
• Ability to work across technical and non-technical stakeholders
• Experience in fraud detection, AML, or transaction monitoring systems
• Exposure to rule engines, decision systems, or risk platforms
• Familiarity with Python (Pandas, NumPy) for data analysis
• Understanding of experimentation, threshold tuning, and performance optimization

Benefits

• Competitive salaries
• Performance bonuses
• Sales commissions
• Equity for specific roles
• Recognition programs
• Medical coverage
• 24/7 employee assistance program
• Generous vacation programs including year-end shut down
• Flexible hybrid working environment (3 days per week in the office)
• Role-specific training
• Internal workshops
• Learning stipend
• Company-wide social events, team bonding activities, happy hours, and team offsites