Data Analyst (JD#10924)

Job Summary We are looking for a Data Analyst to drive end-to-end analytics for Anti-Financial Crime projects in a reputed bank . This role blends strong analytical and data science capabilities with compelling storytelling, documentation excellence, and stakeholder leadership.

You will work extensively on Hadoop Big Data, design analytic workflows, build ML models (including unsupervised techniques), and translate insights into meaningful business impact.

Mandatory Skill-set Bachelor’s/Master’s in Data Science, Statistics, Computer Science, Mathematics, Economics, or related fields; Must have 3+ years in Data Analytics, including 1+ years in Banking/Financial Services; Must have hands-on experience with SQL, Qlik Sense and Big Data tools (Hadoop, Spark, Hive/Impala); Strong expertise in Hive, Impala, Python ( Pandas, NumPy, Scikit-learn ), R, SQL, and PySpark; Experience building ETL pipelines and end-to-end analytical workflows; Understanding of machine learning; Excellent communication, consulting, slide creation, and stakeholder storytelling skills.

Desired Skill-set Certifications in Data Science, Cloud Technologies, or AML/Compliance; Experience in customer segmentation, anomaly detection, and analytics for financial crime; Understanding of model risk and regulatory expectations for model governance.

Responsibilities

Lead end-to-end analytics on Hadoop Big Data (Spark/Hive): data ingestion, EDA, feature engineering, model development, validation, deployment, and monitoring; Develop models for AML, fraud analytics, anomaly detection, customer segmentation, and risk scoring using supervised and unsupervised ML; Create analytical workflows, automations, and pipelines; Prepare high-quality documentation: Functional Specification Documents (FSD), Model Design Documents (MDD), Business Impact Analysis (BIA), and testing packs; Build dashboards and reports using Qliksense and communicate insights clearly; Lead stakeholder meetings, facilitate workshops, and deliver e