Role Overview :
As a Data Analyst in the Compliance Analytics team, you will play a key role in safeguarding financial integrity by leveraging data to detect and prevent financial crimes. Your responsibilities include :
- Analyzing transaction data to uncover patterns of money laundering and fraud
- Supporting sanctions screening with advanced data insights
- Developing and maintaining SQL and Python scripts for data operations
- Creating interactive dashboards and reports using BI tools like Power BI or Tableau
- Implementing basic predictive models for fraud scoring and anomaly detection
- Handling BAU data requests and generating QA samples for monitoring and screening
- Contributing to AI-driven initiatives within the compliance function
How will you create an impact
Key Responsibilities
Transaction Monitoring : Develop rules and statistical algorithms to flag suspicious transactions in real timeSanctions Screening : Perform data preparation for customer and transaction screening against global and regional sanctions lists (e.g., OFAC, UN, EU) as and when required, investigate and prepare analytical insights as per the requirement of the team, and collaborate with team members to tune screening rules and reduce false positivesPattern Analysis : Identify money laundering typologies (e.g., structuring, layering) through data mining and clustering techniquesPredictive Analytics : Prototype and validate models for fraud detection, monitor model performance, and refine thresholdsDashboarding & Reporting : Design and maintain dashboards for compliance metrics, KPI tracking, and regulatory reportingStakeholder Collaboration : Work with Compliance Operations, Risk, and IT teams to translate business requirements into analytical solutionsRequirements
Essential qualifications :
Education : Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related fieldPython : Proficient in pandas, NumPy, and SciPy for data analysisSQL : Advanced query writing, performance tuning, and database designVisualization : Expertise in Power BI, Tableau, or equivalent toolsAnalytics & Modeling : Familiarity with regression, classification algorithms, and model validation techniquesAutomation & AI Tools : Microsoft Power Automate; Microsoft CopilotDesired Skills & Experience
Domain Knowledge : Understanding of AML, KYC, sanctions screening, and regulatory reporting standardsBI Tools : Experience with data engineering tools like Git, dbt, or Airflow for pipeline managementCommunication : Strong storytelling skills to present complex analyses to non-technical stakeholdersProblem-Solving : Creative approach to uncover hidden patterns and root causes in transaction dataInterview rounds & assessments :
Table for Two : A brief chat with one of our Recruiters to assess your foundational competencies and provide an overview of TerraPayBeyond the Bio : A discussion with an SME or the RM to evaluate your role-specific knowledge, problem-solving abilities, and gain a deeper understanding of the company and team dynamicsManager Meetup : A comprehensive discussion about the role and responsibilities, expectations, and mapping out potential career growthWhy TerraPay :
TerraPay is a global money movement player on a mission to build a borderless financial world. We believe payments should be instant, reliable, transparent, seamless, and fully compliant.
Registered and regulated across 31 global markets, we are a leading payments partner for banks, mobile wallets, money transfer operators, merchants, and financial institutions.
We are proud to be a twice-certified Great Place to Work and were featured in the 2023 CB Insights Fintech 100 and the 2024 Financial Times 1000 lists.
Read more about TerraPay here.
Skills Required
Airflow, Scipy, Power Bi, microsoft power automate, Tableau, Sql, Numpy, Git, Pandas, dbt, Python
