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 Expe
📌 Data Analyst (Bengaluru)
🏢 TerraPay
📍 Bengaluru
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