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2027 Consumer & Community Banking - Risk Modeling Associate Program - Summer Internship

JPMorgan Chase

Palo Alto, CAFull-time$135–155K/yrSeen 4w agoSeen in employer's feed 3 days ago

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At a glance

Compensation
$135–155K/yr
Location
Palo Alto, CA
Role Type
Internship
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Consumer & Community Banking Risk Modeling Summer Internship places interns on teams developing data-driven solutions for financial challenges. Interns apply research and machine learning to CCB data, with work spanning credit decisions, fraud detection, and loan loss reserves. The program includes project work, mentorship, and speaker sessions; successful completion may lead to a full-time offer.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningData Science TheoryPythonAnalytical SkillsQuantitative SkillsProblem SolvingResearchCommunicationPresentation SkillsPyTorchXGBoostPySparkSQLJavaC++C#RustReinforcement LearningMeta LearningGraph LearningTransfer LearningTransformer ArchitectureMamba ArchitectureProbability TheoryMonte Carlo SimulationMarkov ChainsEconometric Theory

Qualifications

PhD or Two-Year Master'sQuantitative FieldExpected Graduation Dec 2027-Jul 2028

Full job description

2027 Consumer & Community Banking - Risk Modeling Associate Program - Summer Internship

Wilmington, DE, United States

and 4 more

Job Information

  • Job Identification 210796061

  • Job Category Seasonal Employee

  • Business Unit Consumer & Community Banking

  • Posting Date 10/06/2026, 08:01 PM

  • Locations Wilmington, DE, United StatesPlano, TX, United StatesColumbus, OH, United StatesJersey City, NJ, United StatesPalo Alto, CA, United States

  • Apply Before 12/31/2026, 05:00 AM

  • Job Schedule Full time

  • Base Pay/Salary Jersey City,NJ $135,000.00-$155,000.00; Palo Alto,CA $135,000.00-$155,000.00

Job Description

Consumer & Community Banking Risk Modeling Internship Program.

Our AI and Data Science teams combine data science, research, and industry expertise to develop innovative solutions for complex financial challenges. By leveraging technologies like AI, blockchain, big data, machine learning, and robotics, we enhance customer and client experiences and promote impactful, real-world applications in a collaborative, entrepreneurial environment.

As a Summer Intern within the Consumer and Community Banking (CCB) Risk Modeling teams, you will build advanced solutions in areas such as credit decision, fraud detection, and loan loss reserve. Throughout the internship program, your professional growth and development will be nurtured through project work aligned with your academic and professional interests, mentorship, and engaging speaker series with senior leaders. Successful completion of the program may lead to full-time employment offers.

Job Responsibilities

  • Explore cutting-edge research in partnership with leading academic institutions, applying the latest Machine Learning techniques or Data Science Theories to CCB’s unique data assets

  • Collaborate with stakeholders to drive model-driven transformation across business

  • Focus on Deep Learning, Reinforcement Learning, Natural Language Processing, Speech/Voice Analytics, Time Series, Computer Vision, Cryptography, and Interpretability, and Ethics and Fairness of AI

  • Follow the protocol and procedures when dealing with sensitive data, and firm’s policy and guideline when interacting with control and governance bodies

  • Work with other team members in a collaborative and inclusive manner

Required qualifications, capabilities and skills

  • Enrolled in a Ph.D. or 2-year Master’s degree program in math, science, engineering, computer science or other quantitative fields with an expected graduation date of December 2027 through July 2028.

  • Knowledge of machine learning / data science theory, techniques and tools

  • Knowledge and proficiency in Python

  • Excellent analytical, quantitative and problem-solving skills and demonstrated research ability

  • Strong communication skills and the ability to present findings to a non-technical audience

Preferred qualifications, capabilities and skills

  • Experience with modern machine learning tools such as PyTorch and XGBoost

  • Experience with data tools such as PySpark and SQL

  • Experience with Java, C++, C#, Rust an additional bonus

  • Knowledge in Reinforcement, Meta, Graph or Transfer learning

  • Knowledge in newer deep learning architecture such as Transformer or Mamba

  • Knowledge in advanced mathematics arising in financial modeling such as Probability Theory, Monte-Carlo Simulation, Markov Chain and Econometric Theories

We will be filling our classes on a rolling basis. We strongly encourage you to submit your application as early as possible before job postings close.

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 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 (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.

How this job compares

Set against the 2,172 open Data Science jobs on Olive Jobs, counted November 6, 2026.

Pay
  • This posting$135–155K/yr
  • California median$180–263K/yr250 salary ranges
  • US median$135–235K/yr1,563 salary ranges

This range's midpoint, $145K, is 34% below the California median midpoint ($219K) — in the lowest quarter of Data Science salary ranges in California.

Openings
Olive Jobs lists 322 open Data Science jobs in California and 2,172 across the US. 5% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
Data Science postings that state a minimum ask for 6 years of experience at the median; the middle half ask for 4 to 8 years (1,752 postings).
Education
921 of the 2,172 open Data Science jobs (42%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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