Data Analyst

Technical & Behavioral Competencies Proficiency in: Python (functions, procedures and packages), data visualization using tools like PowerBI, Tableau Data analysis and mining (using Dataiku or similar tools) Statistical modeling techniques (hypothesis testing, regression etc.) to improve a business process and present recommendations, not just results MS Office platforms and tools for documentation catering to various levels of audience

Good to have SQL knowledge Knowledge of AML/CTF or transaction monitoring fine-tuning such as ATL, BTL, etc. Excellent interpersonal skills necessary, Analytical and communication skillsthe ability to communicate with varied audiences and stakeholders (IT, senior management, etc.) Able to research and resolve issues independently while working across teams Ability to manage multiple priorities and tasks in a fast-paced environment

Direct Responsibilities Perform indepth statistical evaluations across key Compliance elements, including negative testing, hypothesis testing, regression techniques, clustering analysis, and behavioral/activity-based tests. Partner with the Compliance CIB Central team to deliver data-driven insights for impact analyses related to AML, Sanctions, and KYC scoring models, including tuning methodologies such as Above-the-Line and Below-the-Line assessments. Develop detailed UAT test plans, scenarios, scripts, and procedures based on business requirements and functional specifications to validate data flows, system behavior, and display logic. Conduct exhaustive endtoend testing of compliance reporting platforms, case management tools. Prepare comprehensive documentation of testing outcomes, data observations, analytical findings, and model impact assessments for Compliance stakeholders and governance forums
Contributing Responsibilities Work closely with technology, operations, and compliance policy teams to resolve data issues, support model enhancement initiatives, and ensure alignment with regulatory expectations. Steer a compliance mindset and stay up to date with projects/tasks assigned, Manage Stakeholder expectations w.r.t assigned tasks Deliver appropriate reporting content, KPI metrics to beneficiary and Local management, with continuity of reporting and transparency on actions as per agreed KPI Proactively communicate with ISPL Management in case of challenges and bottlenecks