Wholesale Credit RiskAssociate - Product Strategy

JPMorganChase; Mumbai; Vor Ort; INR 1.200.000 - 1.900.000; Vollzeit

Zusammenfassung

JPMorganChase seeks a Data/AI Engineer in Mumbai to build scalable data pipelines and robust foundations for analytics and AI applications. You will own end-to-end SDLC, craft data models, and deliver demos using SQL and Python.

You will work with stakeholders, perform UAT, and develop generative AI pipelines with LangChain, PySpark, and Databricks. Responsibilities include data extraction, cross-platform data consistency, dashboards in Tableau, and optimizing ETL processes.

Qualifikationen

• Masters or Bachelor's with relevant experience in data engineering
• Proficient in Python with Pandas/NumPy and ETL pipelines
• Strong SQL skills including window functions and stored procedures
• Experience with Tableau for analytics and visualization
• Solid grounding in ETL, data pipelines, and migration strategies
• Experience with Oracle PL/SQL and MS SQL Server
• Experience with AWS, Databricks, and PySpark
• Experience building generative AI pipelines, model integration, and deployment workflows
• Experience with retrieval-augmented generation using vector databases and embeddings
• Experience leading development efforts and communicating timelines

Aufgaben

• Develop data extraction frameworks from multiple sources and deliver datasets for end-user consumption
• Ensure cross-platform data consistency and perform gap analysis
• Create analytics and visualizations, including dashboards in Tableau
• Own end-to-end SDLC: requirements, design, development, testing, deployment and support
• Define data models, metadata, and data dictionaries for analysis
• Conduct UAT and deliver stakeholder demos using SQL and Python
• Identify data issues and improve coding hygiene and architecture
• Build and optimize scalable data pipelines using Databricks and PySpark
• Design end-to-end generative AI pipelines with ingestion, preprocessing, model integration and deployment
• Incorporate prompt engineering and vector storage for context-aware retrieval
• Lead development through stakeholder meetings and guidance to junior engineers

Kenntnisse

Python

SQL

Tableau

ETL

Data Modeling

AWS

Databricks

PySpark

LangChain

Ausbildung

Master’s degree in Computer Science / IT / Data Engineering

Bachelor’s degree + 2 years experience

Tools

Databricks

PySpark

Oracle PL/SQL

Microsoft SQL Server

LangChain

Hugging Face Transformers

Pinecone/ChromaDB/FAISS

Jobbeschreibung

Job Description:

Build robust data foundations that power analytics and intelligent applications. You will develop scalable pipelines and consistent datasets across platforms, turning complex data into clear insights and visualizations. You will own delivery end-to-end across the software development life cycle, from requirements through support. You will partner closely with stakeholders, perform user acceptance testing, and deliver demos using SQL and Python.

As a Data/AI Engineer, you will develop robust frameworks to extract data from multiple sources, apply business rules, and deliver comprehensive datasets for end-user consumption. You will ensure cross-platform data consistency and perform gap analysis using advanced software technologies. You will conduct data exploration, analytics, and visualization to support analysis and exploration of large datasets. You will own all phases of the software development life cycle, including requirements gathering, design, development, testing, implementation, and support, with a focus on data models, metadata, and business transformation strategies. You will perform user acceptance testing and deliver demos to stakeholders using SQL queries and Python scripts.

Job responsibilities

• Develop frameworks to extract data from multiple sources, apply business rules, and deliver comprehensive datasets for end-user consumption.
• Ensure cross-platform data consistency and perform gap analysis using advanced software technologies.
• Explore data and deliver analytics and visualizations, including insightful dashboards and reports in Tableau.
• Own end-to-end software development life cycle activities: requirements gathering, design, development, testing, implementation, and support.
• Define data models, metadata, and data dictionaries to enable thorough analysis and analytical explorations.
• Perform user acceptance testing and deliver stakeholder demos using SQL queries and Python scripts.
• Identify hidden data problems and patterns and drive improvements in coding hygiene and system architecture.
• Build and optimize scalable data pipelines, leveraging tools such as Databricks and PySpark for processing and analysis.
• Design and build end-to-end generative AI pipelines, including ingestion, preprocessing, model integration, and deployment workflows for large language model-powered applications.
• Incorporate prompt engineering and vector storage to enable intelligent, context-aware retrieval and response generation.
• Lead development activities by conducting regular stakeholder meetings, communicating timelines and blockers, and providing guidance to junior engineers and technologists.

Required qualifications, capabilities, and skills

• Education/experience: Master’s degree in Computer Science, Information Technology, Data Engineering, or related field; or Bachelor’s degree in the same fields plus 2 years of experience in the job offered or a similar technical role.
• Python proficiency, including Pandas and NumPy, with demonstrated experience developing and optimizing extract, transform, load (ETL) pipelines for data migration and processing.
• SQL proficiency, including window functions and creating stored procedures.
• Experience with Tableau to create dashboards and reports for analytics and visualization.
• Strong grounding in data engineering concepts, including ETL processes, data pipeline optimization, and data migration strategies.
• Experience with Oracle PL/SQL and Microsoft SQL Server for data management and analysis.
• Experience with AWS, Databricks, and PySpark for data processing and analysis.
• Experience building and optimizing end-to-end generative AI pipelines, including data preprocessing, large language model integration, prompt engineering, and deployment workflows using LangChain, LlamaIndex, or Hugging Face Transformers.
• Experience with retrieval-augmented generation architecture, including vector databases (Pinecone, ChromaDB, FAISS) and embedding models for context-aware retrieval systems.
• Experience leading development activities, conducting stakeholder meetings, and communicating timelines and blockers.

Preferred qualifications, capabilities, and skills

• Experience performing statistical analysis to interpret data, identify trends, and draw conclusions using scikit-learn and TensorFlow.
• Experience designing and managing scalable data pipelines using Airflow, Linux, and Git.
• Experience improving pipeline performance using parallelism, multi-threading, and batch processing techniques.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.