JPMorgan Chase, a global financial services leader with over 200 years of history, is headquartered in New York and operates in more than 100 countries. The company provides innovative solutions in investment banking, asset management, consumer finance, and cutting-edge fintech. It is known for a strong commitment to diversity, inclusion, and workforce excellence.
Services Offered by JPMorgan Chase
- Investment Banking
- Asset & Wealth Management
- Consumer & Community Banking
- Commercial Banking
- Treasury & Securities Services
- Financial Transaction Processing
- Credit Services
- Risk Management
- Data Science and AI/ML Solutions
- Compliance & Operational Risk Management
JPMorgan Chase delivers a wide range of financial products and services to corporate, institutional, and retail clients around the globe. It continues to lead the way in using AI and machine learning to enhance compliance, conduct, and operational risk processes.
The company is inviting applications for the role of Associate – Data Science, Applied AI & ML in Bengaluru and Hyderabad. This is an excellent opportunity for experienced professionals to work on advanced AI/ML models including Large Language Models (LLMs) and Agentic AI.
JPMorgan Chase – Associate, Data Science, Applied AI & ML Recruitment 2025 Key Points
| Company Name | Job Role | Experience Required | Qualifications | Location | Website |
|---|---|---|---|---|---|
| JPMorgan Chase | Associate – Data Science, Applied AI & ML | Minimum 3 years | Master’s/MBA in Quantitative Disciplines | Bengaluru, Hyderabad | CLICK HERE |
JPMorgan Chase – Associate, Data Science Educational Qualifications
Education Qualifications
- Master’s degree in a quantitative discipline
- OR MBA with an undergraduate degree in Computer Science, Statistics, Economics, or Mathematics
Additional Qualifications
- Experience with LLMs and Agentic AI
- Industry exposure to AI/ML-based compliance and risk management systems
Required Skills and Knowledge
- Proficiency in Python
- Familiarity with PyTorch or TensorFlow frameworks
- Strong understanding of transformers and language modeling
- Data pre-processing and feature engineering expertise
- Excellent problem-solving and communication abilities
- Sound knowledge of data structures and algorithms for machine learning workflows
JPMorgan Chase – Associate, Data Science Job Role and Responsibilities
- Design, deploy, and manage AI/ML models using LLMs and Agentic AI for compliance and risk management
- Conduct AI research to improve model accuracy and efficiency
- Collaborate with various teams to gather requirements and deploy models in production
- Communicate insights clearly to both technical and non-technical stakeholders
- Develop frameworks for model evaluation, training, and optimization
- Analyze performance metrics and iterate models accordingly
Reasons to Join JPMorgan Chase
- Work with cutting-edge AI/ML technologies
- Gain experience in real-world risk and compliance data science applications
- Be part of a global team of innovators in financial services
- Access to internal training and growth opportunities
- Inclusive and supportive workplace culture
FAQs on JPMorgan Chase Off Campus Drive 2025
Q1. What locations are available for this role?
Bengaluru and Hyderabad, India
Q2. What experience is required?
A minimum of 3 years in AI/ML development, preferably with exposure to LLMs and Agentic AI
Q3. Are freshers eligible for this role?
No, this role requires prior experience in AI/ML model development
Q4. What academic background is needed?
A Master’s or MBA with a quantitative undergraduate background
Q5. Where can I apply for this role?
See the application instructions below
How To Apply For JPMorgan Chase Off Campus Drive 2025?
Step 1: Visit the official JPMorgan Chase careers website
Step 2: Search for “Associate – Data Science, Applied AI & ML”
Step 3: Choose the preferred job location (Bengaluru or Hyderabad)
Step 4: Click on “Apply Now” and complete the online application process
| Application Process | Apply Link |
|---|---|
| Online Application | CLICK HERE |
| Selection Mode | Interview-Based |