J.P. Morgan in India provides a comprehensive range of Commercial & Investment Banking, Consumer and Community Banking, Asset & Wealth Management, and corporate functions services and solutions to our clients, executing some of the most important financial transactions and providing essential strategic advice to our clients such as the government, large domestic and multi-national corporations, non-government organizations and financial institutions and investors. India is a key market for JPMorgan Chase globally and our employees in India are a critical part of how we do business globally and are integrated within our businesses. Our Global Service Centers (GSCs) are strategically positioned in major cities to support the firm’s operations regionally and globally. The centers provide comprehensive strategic support across technology and business operations processing to all lines of business and the corporate functions.
As a Data Scientist Sr Associate within Risk Management and Compliance at J.P. Morgan in India, you help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgment to solve real-world challenges that impact our company, customers, and communities
Job Responsibilities -
Individual contributor leading or participating in data science driven efforts to support the business
Understand business problems, key KPIs, drive discussions with senior stakeholders, generate and share key insights with strong solutioning mindset
Strong passion for data and analytics with the ability to drive data science capability using advanced AI/ML and Gen AI tools & techniques.
Strong communication skills and the ability to distill information and results into simple concepts and actionable insights for a variety of audiences
Deliver data insights, business value and recommend next steps to senior stakeholders
Develop, train, and deploy machine learning models for credit risk.
Research and implement novel architectures, including Graph Networks, Agentic AI, and Large Language Models.
Build and test AI agents, iterating designs to enhance functionality and user experience. Conduct rigorous testing to ensure reliability and effectiveness of AI solutions.
Required qualifications, skills, or capabilities -
Ability to understand business problems/processes and design solutions/methodologies that are rooted in data
Hands-on experience with machine learning techniques, time series analysis/prediction, statistical analysis and algorithms, with both classical and deep learning methods.
Proficient in Python, SQL or Databricks with experience in deep learning frameworks such as PyTorch or TensorFlow, and classical machine learning tools like XGBoost or Scikit-learn.
Must be proficient in one or more programming languages, e.g., R, Python
Must drive Analytical use cases (machine learning/ deep learning)
Understanding of ETL tools e.g. Alteryx and Distributed file systems like Hadoop
Comfortable with Visualization tools e.g. Qlik Sense, Tableau, and ThoughtSpot
Understanding of Cloud computing platforms, e.g., Amazon Web Services, Azure or Google Cloud
Ability to design and execute repeatable and scalable data solutions (extraction / mining / modeling / visualization)
Exposure and experience with designing and building machine learning algorithms
Preferred Qualifications
Should have at least 7+ years of experience, preferably in Analytics/Data science.
Master’s degree in computer science, Mathematics, Statistics, Economics, or a related quantitative field, or equivalent work experience.
Good to have Gen AI experience
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.
Skills Required
- Ability to understand business problems and processes and design data-driven solutions and methodologies
- Hands-on experience with machine learning, time series analysis, statistical analysis, algorithms, classical machine learning, and deep learning
- Proficiency in Python, SQL, or Databricks
- Experience with deep learning frameworks such as PyTorch or TensorFlow
- Experience with classical machine learning tools such as XGBoost or Scikit-learn
- Proficiency in one or more programming languages, such as R or Python
- Ability to drive analytical use cases involving machine learning or deep learning
- Understanding of ETL tools such as Alteryx
- Understanding of distributed file systems such as Hadoop
- Familiarity with visualization tools such as Qlik Sense, Tableau, and ThoughtSpot
- Understanding of cloud computing platforms such as Amazon Web Services, Azure, or Google Cloud
- Ability to design and execute repeatable, scalable data extraction, mining, modeling, and visualization solutions
- Experience designing and building machine learning algorithms
- At least 7 years of experience, preferably in analytics or data science
- Master's degree in computer science, mathematics, statistics, economics, or a related quantitative field, or equivalent work experience
- Generative AI experience
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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