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Data Scientist Director - Asset Management

JPMorgan Chase & Co.
Greater London
2 weeks ago
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Job Description

As a Data Scientist Director in JP Morgan Asset Management's Data Science team, you will focus on developing solutions to support our ESG and Stewardship functions with a heavy focus on content extraction, search, and principles-based reasoning with LLMs. You will work directly with stewardship, ESG, and engineering functions to build solutions from the ground up. Despite the seniority, this is a technical role with an expectation that you are hands-on in both code and design.

Job Responsibilities

Collaborate with internal stakeholders to build out requirements and understand business needs Develop technical solutions utilizing LLMs with a focus on problems involving search, content extraction and principals based reasoning Build comprehensive testing packages to ensure the efficacy of solutions and to build trust with stakeholders Help to design technical architectures and solutions Collaborate heavily with engineering functions to deliver high quality, scalable output Stay up to date with the latest developments in your problem space. Become an SME within the data science function

Required qualifications, capabilities, and skills

Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry. Commercial experience in applying NLP, LLM and ML techniques in solving high-impact business problems, such as semantic search, information extraction, question answering, summarization, personalization, classification or forecasting. Advanced python programming skills with experience writing production quality code Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, gradient descent etc. Strong knowledge of language models, prompt engineering, model fine tuning, and domain adaptation. Familiarity with latest development in deep learning frameworks. Ability to communicate complex concepts and results to both technical and business audiences.
 


Preferred qualifications, capabilities, and skills

Prior experience in an Asset Management line of business Strong business domain knowledge in ESG, investment stewardship, proxy voting, corporate filings or buy side investment Familiarity with techniques for model explainability and self-validation CFA or equivalent financial qualification


About Us
. 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
. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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National AI Awards 2025

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