Compliance Data Analyst

What you'll do:As a Compliance Data Analyst, you will play a pivotal role in transforming complex datasets into actionable insights that drive effective risk management strategies.Extract, clean, and analyse large volumes of structured and unstructured data from transaction monitoring systems, KYC processes, onboarding platforms, trade surveillance tools, and customer profiling databases to uncover meaningful patterns.Perform exploratory data analysis (EDA) to identify trends, anomalies, and emerging risk typologies relevant to financial crime compliance.Translate business and regulatory questions into structured analytical problems by designing evidence-based approaches that deliver clear answers for stakeholders.Design, develop, and deploy machine learning models—such as logistic regression, random forests, gradient boosting, neural networks, and graph analytics—to support the detection of financial crime within compliance frameworks.Conduct feature engineering, model validation, tuning, and ongoing monitoring to ensure all outputs are robust, explainable, auditable, and aligned with regulatory expectations.Collaborate with MLOps and Data Engineering teams to operationalise predictive models into production environments for real-time compliance monitoring.Support regulatory audits or compliance requests through comprehensive data analysis and reporting that meets both internal standards and external requirements.Partner with Compliance Officers to align analytics initiatives with policy frameworks while streamlining reporting processes for enhanced risk management.Deliver descriptive analytics such as dashboards and reports alongside predictive or prescriptive models that inform decision-making across compliance functions.What you bring:To excel as a Compliance Data Analyst in this organisation you will bring proven experience in applying advanced analytical techniques within banking or financial services settings.Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Financial Engineering, Economics or a related quantitative discipline is required for this position.3–7 years of hands-on experience in data analytics or data science within banking or financial services is highly desirable; prior exposure to regulatory compliance environments is preferred.Demonstrable experience delivering both descriptive analytics (dashboards/reports) as well as predictive/prescriptive models (ML use cases) is important for this role.Knowledge of Anti-Money Laundering (AML), Counter Financing of Terrorism (CFT), Financial Crime Compliance (FCC) principles is required; familiarity with financial crime typologies such as money laundering or sanctions evasion is advantageous.Strong grounding in statistics including hypothesis testing, sampling methods, probability distributions and inferential statistics is needed for effective analysis.Excellent communication skills are vital—you must be able to explain complex machine learning concepts clearly to non-technical audiences within compliance or business units.A collaborative approach combined with high attention to detail ensures you thrive in regulated environments where confidentiality is paramount.What sets this company apart:This organisation stands out as one of Singapore’s most respected financial institutions—renowned for its commitment to upholding the highest standards of integrity across all operations. The company’s dedication to ethical conduct extends beyond compliance; it actively invests in technologies that empower staff to innovate safely within a robust governance framework. As part of this team you will have access to knowledgeable colleagues who share best practices openly—enabling you to grow professionally while making a meaningful impact on the wider community by helping prevent financial crime.What's next:If you are ready to take your career further by shaping the future of compliance analytics in Singapore’s banking sector—this is your chance!Apply today by clicking on the link provided.Do note that we will only be in touch if your application is shortlisted.Robert Walters (Singapore) Pte LtdROC No.: 199706961E | EA Licence No.: 03C5451EA Registration No.: R25132560 Madiha Binti Md Ridza