JPMorganChase Logo

JPMorganChase

Data Scientist Lead - NLQ/LLM

Posted 5 Days Ago
Hybrid
New York, NY
Mid level
Hybrid
New York, NY
Mid level
Lead the development of natural language interfaces and machine learning solutions to enhance decision-making and client experiences in asset management.
The summary above was generated by AI
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 experiments with model architectures, hyperparameters, and evaluation metrics
  • 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
  • Experience in data science roles such as data engineering, ML engineering, LLM engineering, or data analytics
  • Advanced 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

Preferred Qualifications, Capabilities, and Skills:
  • 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, 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
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.

Top Skills

Large Language Models
Machine Learning
Natural Language Processing
Python
Snowflake
SQL

Similar Jobs at JPMorganChase

Internship
Financial Services
This 9-week summer internship offers exposure to Securities Services, developing analytical and leadership skills through program management tasks and networking opportunities with business leaders.
Top Skills: ExcelPowerPoint
Internship
Financial Services
As a Summer Analyst, you'll perform research, analysis, and modeling in financial markets, support teams with strategic insights, and develop trade ideas.
10 Hours Ago
Hybrid
New York, NY, USA
Senior level
Senior level
Financial Services
As a Vice President in Chase Strategy, you will manage high-priority projects, collaborate across teams, and develop growth strategies for the organization.
Top Skills: ExcelPowerPoint

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account