Job Description
Full job description
JOB DESCRIPTION
Are you passionate about data science and eager to make a real impact in asset management? As an NLQ/LLM Data Scientist, you’ll help transform investment processes and client experiences with innovative natural language and machine learning solutions. You’ll collaborate with talented teams, continuously learn, and drive meaningful change using the latest data science techniques. Join us to advance your career and shape the future of investment management.
As an NLQ/LLM Data Scientist in the Asset Management Data & Analytics team, you will design and implement natural language interfaces that enhance decision-making and optimize operational processes. You will work closely with business stakeholders, technologists, and control partners to deploy solutions into production. Your expertise will generate actionable insights and improve client experiences, while you stay at the forefront of data science innovation.
Job Responsibilities:
Collaborate with internal stakeholders to identify business needs and develop NLQ solutions that drive transformation
Apply large language models, machine learning techniques, and statistical analysis to enhance decision-making and workflow efficiency
Collect and curate datasets for evaluation and continuous improvement
Perform data science experiments, such as building model architectures, hyperparameter tuning, and evaluations
Monitor and improve model performance through feedback and active learning
Work with technology teams to deploy and scale models in production
Deliver written, visual, and oral presentations of modeling results to stakeholders
Stay current with research in LLM, ML, and data science, leveraging emerging techniques for ongoing enhancement
Required Qualifications, Capabilities, and Skills:
Degree in a quantitative or technical discipline, or practical industry experience
Proficient Python programming skills with production-quality coding experience
Experience working with structured and unstructured data
Experience in prompt engineering and domain adaptation
Understanding of foundational ML algorithms such as clustering and decision trees
Ability to communicate complex concepts and results to technical and business audiences
Active interest in applying ML solutions to investment management
Preferred Qualifications, Capabilities, and Skills:
Experience in data science roles such as data engineering, ML engineering, LLM engineering, or data analytics
Proficiency with SQL and Snowflake
Experience in Asset Management
Experience applying NLP, LLM, and ML techniques to solve business problems such as semantic search, information extraction, question answering, summarization, personalization, classification, or forecasting
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, ****** 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
J.P. 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.
JOB DESCRIPTION
Are you passionate about data science and eager to make a real impact in asset management? As an NLQ/LLM Data Scientist, you’ll help transform investment processes and client experiences with innovative natural language and machine learning solutions. You’ll collaborate with talented teams, continuously learn, and drive meaningful change using the latest data science techniques. Join us to advance your career and shape the future of investment management.
As an NLQ/LLM Data Scientist in the Asset Management Data & Analytics team, you will design and implement natural language interfaces that enhance decision-making and optimize operational processes. You will work closely with business stakeholders, technologists, and control partners to deploy solutions into production. Your expertise will generate actionable insights and improve client experiences, while you stay at the forefront of data science innovation.
Job Responsibilities:
Collaborate with internal stakeholders to identify business needs and develop NLQ solutions that drive transformation
Apply large language models, machine learning techniques, and statistical analysis to enhance decision-making and workflow efficiency
Collect and curate datasets for evaluation and continuous improvement
Perform data science experiments, such as building model architectures, hyperparameter tuning, and evaluations
Monitor and improve model performance through feedback and active learning
Work with technology teams to deploy and scale models in production
Deliver written, visual, and oral presentations of modeling results to stakeholders
Stay current with research in LLM, ML, and data science, leveraging emerging techniques for ongoing enhancement
Required Qualifications, Capabilities, and Skills:
Degree in a quantitative or technical discipline, or practical industry experience
Proficient Python programming skills with production-quality coding experience
Experience working with structured and unstructured data
Experience in prompt engineering and domain adaptation
Understanding of foundational ML algorithms such as clustering and decision trees
Ability to communicate complex concepts and results to technical and business audiences
Active interest in applying ML solutions to investment management
Preferred Qualifications, Capabilities, and Skills:
Experience in data science roles such as data engineering, ML engineering, LLM engineering, or data analytics
Proficiency with SQL and Snowflake
Experience in Asset Management
Experience applying NLP, LLM, and ML techniques to solve business problems such as semantic search, information extraction, question answering, summarization, personalization, classification, or forecasting
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, ****** 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
J.P. 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.
💡 Quick Summary
Seeking a career-building opportunity? The Data Science Senior Associate - LLM/NLQ - Asset Management Data Analytics position is now open for candidates interested in the Health Jobs sector. This role in London offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Health Jobs is a plus.
