Risk Management & Compliance - Data Scientist Director

Job Summary

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

Job Description

As a Data Scientist Director in the Commercial and Investment Bank (CIB) Risk Management & Compliance team, you will be supporting Market Risk and Country Risk, and have the opportunity to shape how we leverage artificial intelligence and advanced analytics to solve complex business challenges. You will guide us in exploring, piloting, and implementing transformative AI solutions—including Gen AI—while collaborating closely with Product, Engineering, and Lines of Business. Together, we will foster a culture of experimentation, delivery, and continuous learning, encouraging new ideas and maintaining operational excellence.

You will help build and mentor a high‑performing team focused on deep data understanding and advanced analytics, driving the development of robust tools and solutions using cutting‑edge AI/ML techniques, cloud technologies, and enterprise knowledge bases. In this strategic and hands‑on role, you will engage with technical aspects, review code, monitor the impact of production GenAI models, and enable rapid prototyping, ensuring our solutions deliver real business value and are seamlessly integrated into our operations.

Job Responsibilities

• Oversee and manage a team of data scientists who develop predictive models, autonomous agents, and prompt‑based LLM solutions in collaboration with Engineering teams.
• Manage the end‑to‑end model development lifecycle, including planning, execution, continuous improvement, risk management, ensuring solutions are scalable and aligned with business objectives.
• Collaborate with senior leaders to re‑engineer processes and define a compelling vision for the target state by embedding AI into current workflows, driving change and efficiency.
• Design, build, and deploy impactful AI and data‑driven applications using cloud, data mesh, and knowledge‑base technologies such as centralized repositories, semantic search, and automated information retrieval systems that organize, store, and provide easy access to critical business data and insights.
• Integrate advanced analytics models and applications into operational workflows to ensure business value and adoption.
• Guide research initiatives and pilot projects to identify and apply cutting‑edge AI/ML solutions, including GenAI and agentic technologies.
• Implement robust drift monitoring and model retraining processes to maintain accuracy and performance.
• Communicate analytical findings and recommendations to senior leadership.

Required Qualifications, Capabilities, and Skills

• Extensive experience in data science, analytics or a related field.
• Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large‑scale enterprise environment, including hands‑on experience with ML Ops frameworks, tools, and best practices for model monitoring, automation, and lifecycle management.
• Significant leadership experience in managing data science/R&D teams and driving technology innovation.
• Extensive experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines, with a strong background in modern data platforms (e.g., Snowflake, Databricks), cloud‑based technologies, data mesh architectures, and big data ecosystems.
• Experience with A/B experimentation, data‑ and metric‑driven product development, cloud‑native deployment in large‑scale distributed environments, and the ability to develop and debug production‑quality code.
• Strong written and verbal communication skills, with the ability to convey technical concepts and results to both technical and business audiences.
• Scientific mindset with the ability to innovate and work both independently and collaboratively within a team.
• Ability to thrive in a matrix environment and build partnerships with colleagues at various levels and across multiple locations.
• Proven experience in agentic frameworks (using CruxAI, Google ADK, LangGraph).

Preferred Qualifications, Capabilities, and Skills

• Advanced degree (Master’s or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related field is preferred.

Employment Details

• Seniority level: Not Applicable
• Employment type: Full‑time
• Job function: Engineering and Information Technology
• Location: London, England, United Kingdom
• Salary: £40,000.00‑£45,000.00

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.