Manager – Fraud Detection & Data Engineering
Bank of America · Zone 1
وصف الوظيفة
About the role
Bank of America is building a Strategies, Analytics & Process Integration team in India to improve fraud detection and reduce loss. As a Manager, you will partner with the lead data scientist, analytics, technology, product and policy teams to deliver advanced analytical solutions that lower fraud costs and enhance the client experience.
Key responsibilities
- Design, develop, and maintain scalable data pipelines using Python, PySpark, Spark and Hadoop ecosystems.
- Build end‑to‑end data ingestion and transformation workflows for large, complex datasets.
- Automate and orchestrate data jobs, including scheduling, monitoring and recovery, using workflow tools.
- Create and sustain high‑quality data foundations that support reporting, analytics and model deployment.
- Collaborate with cross‑functional partners to integrate analytical solutions into fraud detection processes.
Required profile
- Extensive experience in Python and PySpark for big‑data processing.
- Proven ability to build and optimise data pipelines in Spark/Hadoop environments.
- Strong problem‑solving skills and a track record of delivering data‑driven solutions.
- Experience working with data scientists and product teams on fraud‑related initiatives.
Required skills
- Python
- PySpark
- Apache Spark
- Hadoop ecosystem
What we offer
- Opportunity to work on high‑impact fraud detection projects for a global financial institution.
- Access to cutting‑edge data technologies and a collaborative, inclusive culture.
- Competitive benefits supporting physical, emotional and financial well‑being.
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Bank of America
Zone 1
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