Wholesale Credit Risk Associate - Product Strategy
JPMorgan Chase & Co. (company site, opens in a new tab)2+ yrsMumbaiOn-siteDirect career pageEst. 14–28 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and manage end-to-end data engineering pipelines and analytics frameworks using Python, SQL, and advanced tools like Databricks and PySpark.
- Design and deliver comprehensive datasets, dashboards, and generative AI pipelines integrating large language models and vector storage for context-aware applications.
- Lead development workflows including requirements gathering, testing, stakeholder demos, and provide guidance to junior team members while managing timelines and blockers.
Minimum Requirements
- Master’s degree in Computer Science, IT, Data Engineering, or Bachelor’s with 2+ years relevant experience.
- Proficient in Python (Pandas, NumPy), SQL (including window functions and stored procedures), and data visualization using Tableau.
- Experience with cloud and big data tools: AWS, Databricks, PySpark, and managing ETL/data pipelines.
- Experience designing and building generative AI pipelines with LLM integration, prompt engineering, and vector databases (e.g., Pinecone, ChromaDB, FAISS).
Ideal Candidate Profile
- Experienced data engineer with strong hands-on skills in building scalable ETL pipelines and generative AI workflows.
- Capable of leading development projects, conducting stakeholder interactions, and mentoring junior engineers.
- Technically competent in multi-platform data consistency, advanced SQL/PLSQL, and integrating cutting-edge AI technologies for business solutions.