Vice President - Applied AI ML - Compliance Analytics

Testing Site - JPMC; Bengaluru; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

Testing Site - JPMC in Bengaluru leads the CCOR data science team to design and deploy cutting-edge LLM and GenAI solutions for compliance and risk management.

You will drive research in GenAI, collaborate with technology, compliance and business stakeholders, oversee model training and evaluation, and mentor the team to deliver innovative, compliant AI solutions for complex regulatory challenges.

Qualifications

• Master's or PhD in a quantitative field from a top-tier university.
• 10+ years in AI/ML with strong LLM/GenAI and NLP exposure.
• Proven track record leading AI solutions in compliance or risk domains.
• Strong Python with PyTorch/TensorFlow and NLP libraries.

Responsibilities

• Lead the CCOR data science team in designing, deploying, and managing advanced LLM and GenAI solutions for compliance and risk management.
• Drive research and innovation in LLMs, GenAI, and related AI technologies to enhance model performance and address regulatory challenges.
• Foster collaboration across cross-functional teams including technology, compliance, and business stakeholders.
• Oversee development and maintenance of tools and frameworks for LLM training, evaluation, and optimization.
• Analyze and interpret data to evaluate model effectiveness and identify improvements.
• Communicate complex technical concepts and project outcomes to senior leadership and non-technical stakeholders.
• Mentor and develop team members, promoting innovation and continuous learning.

Skills

Python

LLMs

GenAI

NLP

Team leadership

Communication

Education

Master’s degree or PhD in quantitative discipline

Tools

PyTorch

TensorFlow

Hugging Face

Job description

Job Responsibilities:

• Lead the CCOR data science team in designing, deploying, and managing advanced LLM and GenAI solutions for compliance and risk management.


• Drive research and innovation in LLMs, GenAI, and related AI technologies to enhance model performance and address complex regulatory challenges.


• Foster collaboration across cross-functional teams, including technology, compliance, and business stakeholders, to identify needs and deliver impactful solutions.


• Oversee the development and maintenance of tools, frameworks, and processes for LLM model training, evaluation, and optimization.


• Guide the team in analyzing and interpreting data to evaluate model effectiveness and identify opportunities for improvement.


• Communicate complex technical concepts and project outcomes to senior leadership and non-technical stakeholders, enabling informed decision-making.


• Mentor and develop team members, promoting a culture of innovation, continuous learning, and excellence.

Required Qualifications and Skills:

• Master’s degree or PhD in a quantitative discipline (e.g., Computer Science, Statistics, Economics, Mathematics) from a top-tier university.


• 10+ years of experience in AI/ML, with significant recent exposure to LLMs, GenAI, and NLP technologies.


• Proven track record of leading teams in developing and deploying AI solutions in compliance, risk, or related domains.


• Advanced programming skills in Python, with deep experience in frameworks such as PyTorch, TensorFlow, and NLP libraries (e.g., Hugging Face Transformers).


• Strong knowledge of LLM architectures, transformers, and language modeling.


• Experience in data pre-processing, feature engineering, and advanced data analysis.


• Exceptional problem-solving skills and the ability to communicate ideas and results clearly to diverse audiences.


• Demonstrated leadership, mentoring, and team-building capabilities.


• Familiarity with regulatory requirements and risk management practices in financial services is highly desirable.