Data Science Senior Associate - LLM/NLQ - Asset Management Data Analytics

J.P. MORGAN; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading global financial institution is seeking an NLQ/LLM Data Scientist to enhance investment processes using data science innovations. You will collaborate with stakeholders to develop solutions that drive transformation and improve client experiences, utilizing your expertise in machine learning and programming. Ideal candidates have a strong technical background and a passion for applying ML solutions in asset management.

Qualifications

• Proficient Python programming skills with production-quality coding experience.
• Experience working with structured and unstructured data.
• Understanding of foundational ML algorithms such as clustering and decision trees.

Responsibilities

• Collaborate with internal stakeholders to identify business needs and develop NLQ solutions.
• Apply large language models and machine learning techniques for decision enhancement.
• Monitor and improve model performance through feedback.

Skills

Python programming

Machine learning techniques

Data science experiments

Statistical analysis

Prompt engineering

Education

Degree in a quantitative or technical discipline

Tools

SQL

Snowflake

Job description

Overview

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.

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

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.