Asset Management - Data Science Lead - Vice President

Posted 7 Hours Ago
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New York, NY
Hybrid
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Join JP Morgan Asset Management's Data Science team to enhance investment processes using cutting-edge machine learning in a collaborative environment.
Summary Generated by Built In

Job Description
Join the Data Science team at JP Morgan Asset Management to utilize advanced machine learning and enhance investment processes. We're looking for passionate data scientists with a strong background in Deep Learning and analytical thinking. In this highly collaborative environment, you'll generate actionable insights from a vast collection of data, directly improving investment processes and client experiences. This role offers opportunities for professional growth and learning the latest data science techniques, making a real-world impact in the asset management industry.
Job summary:
As an Asset Management - Data Science Lead - Vice President within JP Morgan Asset Management's Data Science team, you will be focused on enhancing and facilitating various steps in the investment process. This involves utilizing a large collection of textual data including financial documents, analyst reports, news, meeting notes and client communications along with more typical structured datasets. You will have the opportunity to apply the latest methodologies to generate actionable insights to be directly consumed by our business partners. You will also be expected to excel in a highly collaborative environment, working closely with the business, technologists, and control partners to deploy solutions into production.
Job Responsibilities

  • Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client needs and drive transformation.
  • Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational process.
  • Collect and curate datasets for model training and evaluation.
  • Perform experiments using different model architectures and hyper parameters, determine appropriate objective functions and evaluation metrics, and run statistical analysis of results.
  • Monitor and improve model performance through feedback and active learning.
  • Collaborate with technology teams to deploy and scale the developed models in production.
  • Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders.
  • Stay up-to-date with the latest research in LLM, ML and data science. Identify and leverage emerging techniques to drive ongoing enhancement.


Required qualifications, capabilities, and skills

  • Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.
  • 3+ years of 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.
  • Hands-on experience with deep learning toolkits such as PyTorch, Transformers, HuggingFace.
  • 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
  • Exposure to distributed model training, and deployment
  • Familiarity with techniques for model explainability and self validation


About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
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

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What the Team is Saying

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The Company
HQ: New York, NY
289,097 Employees
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Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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