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 executive-ready presentations with strong narrative clarity;
• Translate business requirements into actionable analytical solutions and recommend data-driven strategies;
• Ensure compliance with model governance, data quality, and security standards;
• Mentor junior analysts and data scientists, fostering best practices in analytics and model development.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA License No. 07C563

Skills

Customer Segmentation, Data Ingestion, Business Intelligence and Data Analytics, optimized SQL queries, Data Analysis, Pipelines, Functional Specifications, MySQL, risk tracking, SQL Query, Business Requirement Analysis, SQL, QlikView Development, Python, Feature Engineering, Fraud Analytics, Anomaly Detection, Business Impact Analysis, Presentation Skills, Deployment