Manager
On-site · Hyderabad, Telangana, India or Mumbai, Maharashtra, India
Job Summary
Lead data analytics initiatives to reduce fraud losses and false positives by building end-to-end data pipelines (Python/PySpark) and real-time/near real-time data workflows. Partner with lead data scientist, analytics, product, policy, and business stakeholders to define data requirements and data strategy, ensuring customer-level unified views across systems. Design, develop, and maintain scalable data ingestion/transformation pipelines using Spark/Hadoop ecosystems; implement automation and data orchestration to minimize manual work; build data foundations for reporting, analytics, ML, and fraud detection. Implement data validation, quality checks, and anomaly detection to ensure data accuracy and trust. Drive real-time decision-making by enabling low-latency data access and collaborating across teams to support client protection strategies; location: Mumbai/Gandhinagar/Hyderabad, with a focus on India operations.
Required Qualifications
- Advanced degree preferred in Statistics/Mathematics/Engineering from a premier institute
- Bachelor’s degree in a quantitative discipline such as mathematics, engineering, economics, finance, computer science; Master’s degree or higher preferred
- Certifications in SQL, GSQL, Cypher, Hive, Python, PySpark preferred
- 5-8 years of relevant analytics experience; 2+ years of engineering experience; extensive PySpark/big data experience; ownership of codebase
- Foundational skills in Python, PySpark and SQL; knowledge of bigdata systems; familiarity with graph databases and related query languages
- Strong organizational, project management and communication skills; ability to work in a fast-paced, dynamic environment
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