Data Scientist Senior Associate (AI/ML) - Risk Management

JPMorganChase; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

JPMorganChase seeks an Associate, Data Science to advance AI and analytics across Risk Management and Compliance. You will explore, pilot, and implement impactful AI solutions in partnership with Product, Engineering, and business units, building scalable tools that integrate into operations and support model governance.

You will work with stakeholders to ensure measurable value, embed solutions into workflows, and drive a culture of experimentation and operational excellence across teams and

Qualifications

• Experience deploying, operationalizing, and managing AI/ML models in large-scale enterprise environments.
• Proficiency with Python-based ML libraries (TensorFlow, PyTorch, scikit-learn).
• Familiarity with orchestration frameworks and agent design patterns.

Responsibilities

• Design and implement explainable AI/ML solutions and multi-agent systems, including orchestration layers and human-in-the-loop controls.
• Develop production-grade solutions with secure, maintainable code, reviews, debugging, and clear documentation.
• Collaborate with data science peers, product partners, business stakeholders, and cross-functional teams to define goals and requirements.
• Partner with Model Risk and Compliance to ensure Responsible AI standards including model docs, bias testing, and human-in-the-loop controls.
• Deliver projects using Agile and sprint methodologies, translating business requirements into technical specifications.
• Integrate solutions into operational workflows with engineering on APIs, batch pipelines, deployment patterns, reliability, and user adoption.
• Implement drift monitoring and model retraining to maintain accuracy and performance.

Skills

Data science

AI/ML deployment

Python ML libraries

Orchestration frameworks

Communication

Team collaboration

Matrix environment

Education

Bachelor's or Master's in engineering, CS, stats, math

Tools

TensorFlow

PyTorch

scikit-learn

LangGraph

Job description

Job Description

Put your data science and AI expertise to work on challenges that strengthen a global firm and create real-world impact. You will help design and deliver transformative AI and advanced analytics solutions that can be adopted at scale. You will collaborate closely with Product, Engineering, and business partners in a team that values experimentation, delivery, and continuous learning. If you enjoy turning ideas into resilient products and improving how models perform over time, this role offers meaningful growth and visibility.

Job Description

Put your data science and AI expertise to work on challenges that strengthen a global firm and create real-world impact. You will help design and deliver transformative AI and advanced analytics solutions that can be adopted at scale. You will collaborate closely with Product, Engineering, and business partners in a team that values experimentation, delivery, and continuous learning. If you enjoy turning ideas into resilient products and improving how models perform over time, this role offers meaningful growth and visibility.

As an Associate, Data Science in the Data Science team within Risk Management and Compliance, you will explore, pilot, and implement impactful AI solutions in partnership with Product, Engineering, and lines of business. You will help build scalable internal tools that integrate into business operations and support effective model management. You will contribute to a culture of experimentation and operational excellence where your ideas are encouraged. You will collaborate with stakeholders to ensure solutions deliver measurable value and become embedded into workflows for lasting impact.

Job Responsibilities

• Design and implement explainable AI/ML solutions and multi-agent systems, including orchestration layers that coordinate specialized agents, manage task routing, and integrate human-in-the-loop controls
• Develop production-grade solutions by writing secure, maintainable code, performing code reviews, debugging issues, and contributing to clear technical documentation (design notes, runbooks, and repository documentation)
• Collaborate with data science peers, product partners, business stakeholders, and cross-functional teams to define project goals and requirements and participate in stakeholder-facing communications
• Partner with Model Risk and Compliance stakeholders to ensure AI/ML solutions adhere to firmwide Responsible AI standards, including model documentation, bias and fairness testing, and appropriate human-in-the-loop controls
• Deliver projects using Agile and sprint methodologies by translating business requirements into technical specifications and supporting milestone achievement
• Integrate solutions into operational workflows by collaborating with engineering teams on APIs and batch pipelines, deployment patterns, reliability, and user adoption
• Implement drift monitoring and model retraining processes to maintain model accuracy and performance through ongoing performance monitoring

Required Qualifications, Capabilities, And Skills

• Demonstrated experience in data science, analytics, or a related field
• Demonstrated experience deploying, operationalizing, and managing AI, ML, or advanced analytics models in a large-scale enterprise environment
• Working knowledge of AI/ML algorithms, statistical modeling, and scalable data processing pipelines
• Proficiency with Python-based machine learning libraries such as TensorFlow, PyTorch, and scikit-learn
• Familiarity with orchestration frameworks (for example, LangGraph) and agent design patterns
• Strong written and verbal communication skills with the ability to explain technical concepts and results to technical and non-technical audiences
• Demonstrated ability to innovate, work independently, and collaborate effectively within a team environment
• Demonstrated ability to succeed in a matrix environment and build partnerships across levels, functions, and locations

Preferred Qualifications, Capabilities, And Skills

• Bachelor's or Master's degree in engineering, computer science, statistics, mathematics, or a related quantitative field

About Risk Management And Compliance

As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your judgement to solve real-world challenges that impact our company, customers, and communities. Our culture is focused on challenging the status quo and striving to be best in class.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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.

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.