Lead Data Scientist - VP - Finance Technology

Posted 2 Days Ago
Be an Early Applicant
2 Locations
Hybrid
Expert/Leader
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Lead and deliver production-grade AI/ML solutions for finance, applying deep learning, LLM/GenAI, NLP, time-series and econometric methods. Build large-scale data pipelines, run experiments, ensure data quality, partner with business and tech stakeholders, handle MLOps, and manage a global team of data scientists and engineers.
Summary Generated by Built In

Join our Finance Technology team to build world-class AI/ML solutions for finance processes and drive significant business impact by tackling diverse challenges across multiple technologies and applications.

As a Lead Data Scientist in our Finance Technology team, you will play a pivotal role in building and delivering cutting-edge AI/ML solutions that enhance our finance processes. Your deep technical expertise and problem-solving skills will drive significant business impact, as you work on diverse challenges across multiple technologies and applications. Collaborate with business users and technology partners to identify and execute machine learning opportunities, while managing a global team of data scientists and engineers.

Job Responsibilities:

  • Build and train production-grade ML models on large-scale datasets to solve business use cases.
  • Utilize large-scale data processing frameworks to extract value from structured and unstructured data.
  • Apply Deep Learning models like NLP, LLM, and Gen AI for summarization, forecasting, and anomaly detection.
  • Conduct data modeling experiments, evaluate against baselines, and extract key statistical insights.
  • Create data models using best practices to ensure high data quality and reduced redundancy.
  • Stay current on industry trends and adopt the latest methodologies into existing implementations.
  • Present and market proposed solutions to senior business and technology colleagues.
  • Collaborate closely with business users to identify and execute machine learning opportunities.
  • Work with the team and other technology partners on ML Ops aspects.
  • Manage a global team of data scientists and data engineers.

Required Qualifications, Capabilities, and Skills:

  • Master's Degree or equivalent experience in Computer Science or Data Science.
  • 12+ years of experience as a data scientist.
  • Experience with machine learning techniques and advanced analytics (e.g., regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, NLP).
  • Experience with LLM and Gen AI.
  • Experience with Agentic workflows.
  • Proficiency in ML languages such as Python, SQL, Scala.
  • Experience with statistical techniques - i.e., data mining, data transformations, text mining, data visualization.

Preferred Qualifications, Capabilities, and Skills:

  • Familiarity with Financial Services.
  • Experience building ML models in a cloud environment.
  • Experience with Big Data Platforms such as Hadoop.
  • Outstanding written/verbal communication and presentation skills.
  • Comfort with ambiguity and proven ability to structure problems.
  • Team-oriented collaborator.
About Us

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of 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.

Equal Opportunity Employer/Disability/Veterans

About the TeamOur Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Skills Required

  • Master's Degree or equivalent experience in Computer Science or Data Science
  • 12+ years of experience as a data scientist
  • Experience with machine learning techniques and advanced analytics (regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, NLP)
  • Experience with LLM and Generative AI
  • Experience with Agentic workflows
  • Proficiency in ML languages such as Python, SQL, Scala
  • Experience with statistical techniques: data mining, data transformations, text mining, data visualization
  • Familiarity with Financial Services
  • Experience building ML models in a cloud environment
  • Experience with Big Data Platforms such as Hadoop
  • Outstanding written/verbal communication and presentation skills
  • Comfort with ambiguity and proven ability to structure problems
  • Team-oriented collaborator

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
  • Retirement Support A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
  • Leave & Time Off Breadth Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
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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