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 time
- Sanctions 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 positives
- Pattern Analysis: Identify money laundering typologies (e.g., structuring, layering) through data mining and clustering techniques
- Predictive Analytics: Prototype and validate models for fraud detection, monitor model performance, and refine thresholds
- Dashboarding & Reporting: Design and maintain dashboards for compliance metrics, KPI tracking, and regulatory reporting
- Stakeholder Collaboration: Work with Compliance Operations, Risk, and IT teams to translate business requirements into analytical solutions
Requirements
Essential qualifications:
- Education: Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field
- Python: Proficient in pandas, NumPy, and SciPy for data analysis
- SQL: Advanced query writing, performance tuning, and database design
- Visualization: Expertise in Power BI, Tableau, or equivalent tools
- Analytics & Modeling: Familiarity with regression, classification algorithms, and model validation techniques
- Automation & AI Tools: Microsoft Power Automate; Microsoft Copilot
Desired Skills & Experience
- Domain Knowledge: Understanding of AML, KYC, sanctions screening, and regulatory reporting standards
- BI Tools: Experience with data engineering tools like Git, dbt, or Airflow for pipeline management
- Communication: Strong storytelling skills to present complex analyses to non-technical stakeholders
- Problem-Solving: Creative approach to uncover hidden patterns and root causes in transaction data
Interview rounds & assessments:
- Table for Two: A brief chat with one of our Recruiters to assess your foundational competencies and provide an overview of TerraPay
- Beyond 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 dynamics
- Manager Meetup: A comprehensive discussion about the role and responsibilities, expectations, and mapping out potential career growth
Why 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.
