Assistant Manager, Risk Analytics

Job Description

Responsibilities

• Develop, maintain, and enhance dashboards, MIS reports, and analytical trackers to support operational and management oversight.
• Automate recurring reports and performance metrics, reducing dependency on manual Excel ‑ based processes.
• Ensure data accuracy, completeness, consistency, and reconciliation across all Risk & AML analytics outputs and reports.
• Integrate data from multiple internal systems into consolidated reporting and analytical views.
• Perform transaction monitoring analytics, including alert trend analysis, scenario ‑ level performance metrics, and threshold impact analysis.
• Support regulatory reporting by compiling datasets from multiple systems accurately
• Execute ad ‑ hoc analytical reviews and thematic data analysis in response to Risk, AML, audit, or regulatory data requests.
• Maintain structured AML datasets, documentation, and audit trails to ensure outputs are traceable and reproducible.
• Identify data anomalies, trends, and outliers, escalating observations to senior team members for review.
• Assessment and rationalisation of threshold settings and scenario mappings across products, channels, and risk segments.

Qualifications

• Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Engineering, Finance, or a related quantitative discipline.
• 3–6 years of hands ‑ on experience in data analytics, reporting, or MIS roles, preferably within Risk, AML, Compliance, Fraud, or Financial Services environments.
• Strong experience in dashboarding, MIS reporting, and analytical tracker development for operational and management oversight.
• Proven capability in automating recurring reports and performance metrics, with demonstrated reduction of manual, Excel ‑ driven processes.
• Strong proficiency in Analytics tools such as Python, R, and BI tools (e.g., QlikSense, Power BI, Tableau, or similar).
• Experience working with multiple internal data sources/systems and integrating them into consolidated analytical and reporting views.
• Solid understanding of data validation, reconciliation, and quality controls to ensure accuracy, completeness, and consistency of analytics outputs.
• Working knowledge of transaction monitoring data and related metrics, including alert trends, scenario ‑ level performance, and threshold impact analysis (analytics perspective).
• Strong analytical mindset with the ability to identify data anomalies, trends, and outliers and clearly communicate observations to senior stakeholders.
• Good stakeholder management and communication skills, with the ability to work effectively with Risk, AML, Technology, and Assurance teams.