The short answer: JPMorgan Chase hires quant analysts into Quantitative Research (QR), which current Markets postings call Quantitative Trading & Research (QTR), and into Quant Modeling roles that build or validate risk models. JPMorgan Chase says the process differs by position and that you meet several people over multiple rounds. Its student interview page describes a recorded video interview, plus coding challenges or an online technical assessment for technical roles, before a final round of behavioral, technical and situational questions. Candidate reports from quant interns add a live math and coding interview and a Superday on probability, statistics, coding, regression and resume projects. Last reviewed October 2026.
JPMorgan Chase Quantitative Analyst at a Glance
Base Salary (US postings)
$135k - $350k/yr
Levels
Analyst - Executive Director
JPMorgan Chase quantitative analyst interview: quick answers
| Question | Short answer |
|---|---|
| How many interview rounds? | JPMorgan Chase does not publish a count for QR. It says you meet several people over multiple rounds. Its student page describes a recorded video interview, coding challenges for technical roles and a final round. New York candidate reports describe a recorded step, a live technical interview and a Superday of three 45-minute interviews. |
| What do the rounds test? | JPMorgan Chase says the final round mixes behavioral, technical and situational questions. Its QR program page asks for advanced math such as probability, stochastic calculus, PDEs, numerical analysis, statistics and econometrics, and for C++ or Python. Candidate reports describe probability, statistics, coding, machine learning, regression and resume projects. |
| Can I use AI tools? | JPMorgan Chase does not publish a rule on AI use in interviews; ask your recruiter. |
| How much does a JPMorgan Chase quantitative researcher make? | US QR and Quant Modeling postings list base ranges from $135K for a Senior Associate in model review to $350K for an Executive Director in QTR. Experienced-hire postings also mention discretionary incentive pay. |
| How long does it take? | JPMorgan Chase does not publish a timeline. One 2021 New York candidate report says the process took three to four months from the video interview to the Superday. |
| Is Quantitative Analytics the same as Quantitative Research? | No. JPMorgan Chase's Quantitative Analytics and Quant Analytics postings are business and marketing analytics roles built on dashboards, SQL and experiments. The quant finance roles are QR, QTR and Quant Modeling. |
The JPMorgan Chase quantitative analyst role
What JPMorgan Chase quantitative analysts work on, the skills its job postings ask for, and what a week can look like. JPMorgan Chase posts the role as Quantitative Research (QR), Quantitative Trading & Research (QTR) and Quant Modeling.
Primary Focus
What You Need
- Probability theory and stochastic calculus
- No-arbitrage pricing and model calibration
- Monte Carlo methods and SDEs
- Statistical and econometric modeling (GLMs, logistic regression, time series)
- Numerical methods
- Programming in Python or C++
- Presenting findings to non-technical audiences
Nice to Have
- Options pricing or trading algorithms knowledge
- Financial regulation knowledge
- Measure theory and continuous-time stochastic processes
- Interpretable machine learning with controls and explainability
- Working with large panel datasets
Languages
Tools & Technologies
Want to ace the interview?
Practice with real questions.
A Week in the Life of a JP Morgan Chase Quantitative Analyst
Illustrative week · JP Morgan Chase
An illustrative week for a quantitative analyst, built from what JPMorgan Chase says about the role in its own job postings and publications. Real weeks vary by team.
Culture notes
- JPMorgan Chase says it hires the whole person and tells candidates to be themselves.
- Model governance is part of the job: QR tests, documents and monitors models and supports independent review.
- Quant work spans the front office and risk, so the same title family covers trading desks and regulatory models.
- Interns are placed by background and interests after learning about the teams during the process.
Key takeaway: Expect to build, test and document models for a desk or a risk area, and to explain them to people who review or use them.
JPMorgan Chase quantitative analyst levels and pay
Your level sets the bar you are interviewed against and the pay band of the offer.
JP Morgan Chase Quantitative Analyst Levels
Each level has different expectations, compensation, and interview focus.
What This Level Looks Like
Campus entry title for undergraduate and master's students, such as the QR Markets Summer Analyst.
Interview Focus at This Level
The recorded video and coding challenges, then a final round of math, coding and behavioral questions.
Find your level
Practice with questions tailored to your target level.
JPMorgan Chase uses corporate titles from Analyst through Associate, Senior Associate and Vice President to Executive Director. Analyst and Associate are also the campus entry titles. The pay table lists postings by title.
Pay in JPMorgan Chase's US job postings
JPMorgan Chase lists a base pay range on its US postings. Every experienced-hire posting read also mentions discretionary incentive compensation and possible equity.
| Posting | Location | US base salary range |
|---|---|---|
| Quant Modeling Associate - Model Risk Governance Review - Senior Associate | New York, NY | $135K to $150K |
| 5 postings: Quant Modeling Lead - Model Risk Governance Review - Vice President, Quant Modeling Lead - Model Risk Governance Review - Vice President, Risk Management - Quant Modeling Lead - Vice President and others | Several US locations | $147.25K to $215K |
| Quantitative Trading & Research – Securities Services, Payments and CIB Treasury - Associate | New York, NY | $150K to $200K |
| Quantitative Trading and Research – Equity Derivatives Exotics - Associate | New York, NY | $150K to $200K |
| Quantitative Research [Multiple Positions Available] | New York, NY | $200K to $285K |
| Wealth Management Solutions, Investment & Research Team: Vice President Quantitative Researcher | New York, NY | $200K to $285K |
| Quantitative Trading & Research - Energy - Executive Director | New York, NY | $200K to $350K |
The Quantitative Research [Multiple Positions Available] posting is written in labor-certification style, with an exact degree and years of experience, so its requirements may be narrower than a typical opening. Wholesale Credit QR in Plano shows no range, and summer internship pay is not included. Ranges seen October 29, 2026.
JPMorgan Chase quantitative analyst interview process
The application and video steps follow JPMorgan Chase's own hiring pages, including an archived July 2025 student interview page. The live technical interview and the content of the final round come from candidate reports, which are few for US QR roles.
Screen
2 roundsRecorded video interview and coding challenges
JPMorgan Chase says the video covers your experiences, skills and interest in the role. You can practice without limit and re-record each answer once, and responses stay valid for 6 months for similar roles. Candidate reports from quant interns describe recorded coding tasks and math sections at this stage.
Tips for this round
- Use the unlimited practice to get comfortable before you record.
- You get one re-record per answer, so plan each answer before you start.
- Your responses can be reused for similar roles for 6 months, so record answers that fit QR broadly.
Technical interview (candidate reports)
Candidate reports describe math questions and a short coding task. One New York PhD candidate had a live coding round between the video interview and the Superday.
Onsite
1 roundFinal round or Superday
JPMorgan Chase says to expect a mix of behavioral, technical and situational questions. Candidate reports describe probability, statistics, coding and data structures, machine learning and regression, and questions on resume projects.
Tips for this round
- Expect behavioral, technical and situational questions in the same day.
- Know every project on your resume well enough to defend the method and its limits.
- Prepare for the team you are meeting: pricing math for Markets, econometrics for risk.
Tips to Stand Out
- Prepare specific examples from past work that show skills that transfer to the role, and bring questions for the team.
- Practice with mock interviews on the themes JPMorgan Chase lists: teamwork, analytical skills, drive for results and presentation skills.
- Practice explaining a model or result to a non-technical audience, which the QR program page asks for.
- Stay current on general and firm news so you can speak about it with confidence.
- Test your technology and connection before virtual or phone interviews, and use a quiet space.
- Use the unlimited practice before recording your video interview, since each answer allows only one re-record.
Based on JPMorgan Chase's own pages and candidate reports.
JPMorgan Chase does not publish a timeline or how offers are decided. Candidate reports disagree on length: a 2021 New York report took three to four months, and campus reports from India describe an online test followed by four or five technical rounds and an HR round. Last reviewed October 2026.
What is different at JPMorgan Chase
- The titles are Quantitative Research and its newer Markets name, Quantitative Trading & Research. Campus program titles still say Quantitative Research - Markets, while current Markets postings say QTR, and the Summer Analyst posting places interns in the QTR Markets team. Quant Modeling titles sit on the risk side, for example in Model Risk Governance Review.
- A "quant" title does not always mean quant finance. The Quantitative Analytics [Multiple Positions Available] posting in Plano is marketing and business analytics work with Tableau dashboards, SQL and experiments, and other US Quant Analytics titles sit in card, marketing and business analytics teams. This guide covers QR, QTR and Quant Modeling only.
- QR spans the front office and risk, and the interview depth follows the team. Markets QR prices, hedges and trades products and does alpha research. Risk and Treasury QR builds credit models for CCAR and CECL. Model Risk Governance Review validates models such as counterparty credit risk and margining models.
- The recorded video interview has published rules. JPMorgan Chase says you get unlimited practice before recording and one re-record per answer, and your responses stay valid for 6 months and may be reused for similar roles. It also says many assessments cannot be retaken for a set period.
- Communication is part of the bar. The QR program page says candidates should be able to present findings to a non-technical audience, and JPMorgan Chase's sample interview questions cover teamwork, analytical skills, drive for results and presentation skills.
- JPMorgan Chase does not publish a rule on AI use in interviews; ask your recruiter. Some QTR teams apply AI, machine learning and LLMs to business problems, so expect to discuss them as topics.
JPMorgan Chase quantitative analyst interview questions
Questions from our bank, then practice prompts we wrote for this guide around JPMorgan Chase's work.
Questions from our bank
From the DataInterview question bank: questions tagged to JPMorgan Chase first, then questions that fit quantitative analyst interviews. Open one to answer it.
Separable Data Regression
Managing Imbalanced Data
Model Deployment Metrics
Causes of Volatility Smile
Probability vs Likelihood
Regression vs T Test
Perfect Correlation Two
St Petersburg Paradox
Probability and statistics practice
Prompts we wrote for this guide around JPMorgan Chase's work. They are not reported interview questions. Each answer is an outline or a worked solution.
A loan book holds 50 independent loans, each with a 2% chance of default this year. What is the expected number of defaults, and the chance of no defaults at all?
Sample Answer
Expected defaults are 50 x 0.02 = 1. The chance of no defaults is 0.98^50. Take logs: 50 x ln(0.98) = 50 x (-0.0202) = -1.010, and e^(-1.010) is about 0.364. The Poisson approximation with mean 1 gives e^(-1) = 0.368, which is close. Real defaults are correlated, which raises the chance of both zero defaults and many defaults at once.
A logistic regression default model has a coefficient of 0.7 on a binary flag. A borrower without the flag has a 2% default probability. What is the probability for the same borrower with the flag?
A 99% one-day VaR model had 6 exceptions in the last 250 trading days. Is that evidence the model is wrong?
A Monte Carlo price has a standard error of 0.08 with 10,000 paths. How many paths do you need for a standard error of 0.02?
Pricing and stochastic calculus practice
Prompts we wrote for this guide around JPMorgan Chase's work. They are not reported interview questions. Each answer is an outline or a worked solution.
EUR/USD spot is 1.10 dollars per euro. The dollar rate is 5% and the euro rate is 3%, both continuously compounded. What is the 1-year forward?
Sample Answer
Covered interest parity gives F = S x e^((r_usd - r_eur) x T) = 1.10 x e^0.02 = 1.10 x 1.0202, about 1.1222. The currency with the higher interest rate trades at a forward discount, so the dollar buys fewer euros forward and the forward rate is above spot. If the forward traded elsewhere, you could borrow one currency, lend the other and lock in a profit.
With zero interest rates, 20% volatility and 1 year to expiry, what is the delta of an at-the-money call? Why is it not exactly 0.5?
A stock follows geometric Brownian motion from 100 with drift 5% and volatility 30%. What are the mean and the median price in 1 year?
Calls on the same stock and expiry trade at 14 for strike 90, 8 for strike 100 and 1 for strike 110. Is there an arbitrage?
Modeling practice
Prompts we wrote for this guide around JPMorgan Chase's work. They are not reported interview questions. Each answer is an outline or a worked solution.
You are building a probability-of-default model for wholesale credit that will feed CECL and stress testing. How do you approach it?
Sample Answer
Start with the definition of default and the data: borrower financials, ratings and history in a panel over time. Segment by obligor type if the drivers differ. Fit an interpretable model such as logistic regression with macroeconomic drivers, so losses can be projected under stress scenarios. Validate out of time, check calibration as well as ranking power, and document assumptions and limits. The posting names GLMs, logistic regression and time series on large panel datasets.
You are the independent validator for a counterparty credit risk model. What do you check?
A commodities desk reports large unexplained P&L on an options book for a week. How do you investigate?
How do you monitor a credit score model after it goes live?
Behavioral practice
Prompts we wrote for this guide around JPMorgan Chase's work. They are not reported interview questions. Each answer is an outline or a worked solution.
Present a model you built to someone with no quantitative background.
Sample Answer
The QR program page asks for this skill. Start with the decision the model supports, then the result in plain numbers, then the one limitation that matters most. Avoid formulas. Check understanding by asking what they would do with the result.
Tell me about a time you worked on a team that had to deliver under pressure.
Describe a project where you kept going after the first approach failed.
Which QR team do you want, and why?
Practice problem: population stability index for a risk model
pythonA model review team checks whether the scores a credit model produces today look like the scores it produced when it was built. Write psi(expected, actual, edges) that bins both samples using the sorted cut points in edges (a value x goes in bin i when edges[i-1] <= x < edges[i], with open bins at both ends), turns counts into shares, floors each share at 0.0001 to avoid log(0), and returns (value, label). The value is the sum over bins of (actual share - expected share) x ln(actual share / expected share), rounded to 4 decimals. The label is "stable" below 0.1, "monitor" from 0.1 to below 0.25, and "investigate" from 0.25. Raise ValueError if either sample is empty or the edges are not strictly increasing. Example: psi([1, 2, 3, 4], [1, 3, 3, 4], [2.5]) compares shares of 0.5 and 0.5 with 0.25 and 0.75 and returns (0.2747, "investigate").
1import math
2
3def psi(expected, actual, edges):
4 """Return (value, label) for the population stability index."""
5 pass700+ coding problems with a live code executor.
Practice in the EngineHow to prepare
A plan for the JPMorgan Chase loop, most important first:
- Find out which QR track you are interviewing for, Markets, Risk and Treasury or Asset Management, and match your prep to its postings.
- For Markets roles, review no-arbitrage pricing, stochastic calculus, Monte Carlo and model calibration; for risk roles, review GLMs, logistic regression and time series.
- Drill probability and statistics questions out loud, since candidate reports put them in every live round.
- Practice coding in Python or C++ with tests, including recorded coding tasks, for the challenges after the video interview.
- Rehearse explaining a model and its limits to a non-technical listener, which the QR program page asks for.
- Prepare behavioral stories on teamwork, analytical skills, drive for results and presentation, the themes JPMorgan Chase lists.
Practice path
Courses that cover the rounds above:
- Financial Mathematics
- Probability for Quant Interviews
- Applied Statistics
- Advanced Statistics
- Time Series Forecasting
Are you ready for the JPMorgan Chase quantitative analyst interview?
1 / 6Can you solve probability and expectation puzzles out loud and check your answer a second way?
Frequently Asked Questions
How much does a JPMorgan Chase quantitative researcher make?
US postings list base ranges of $150K to $200K for QTR Associates, $135K to $150K for a Quant Modeling Senior Associate, $147.25K to $215K for Quant Modeling Lead Vice Presidents, $200K to $285K for QR Vice President and experienced QR postings, and $200K to $350K for a QTR Executive Director. Experienced-hire postings also mention discretionary incentive pay and possible equity. Internship pay is not covered here.
Can I use AI tools in the JPMorgan Chase QR interview?
JPMorgan Chase does not publish a rule on AI use in interviews; ask your recruiter.
What is the difference between QR, QTR and Quant Modeling?
QR is the campus program name for the quant group. Current Markets postings call the same Markets group Quantitative Trading & Research, which prices, hedges and trades products. Quant Modeling titles sit in risk, such as Model Risk Governance Review, which validates models built elsewhere in the firm. Quantitative Analytics is a separate business analytics family.
How do I get into Quantitative Research as a student?
The Quantitative Finance programs page lists 2027 US summer internships: QR Markets for Analysts and Associates in New York, QR Risk and Treasury for Associates in New York, Plano and Chicago, and QR Asset Management for Analysts in New York. US deadlines run from November 6 to December 15, 2026. Interns get a project and training, and top performers may receive a full-time offer. Off-cycle QR internships run in London and Paris, and QTR off-cycle internships in Hong Kong and Singapore.
Where are JPMorgan Chase QR roles, and are they on site?
QR postings read do not state a remote policy. The student FAQ says interns must work at a designated business location. Roles appear in New York, Jersey City, Plano, Chicago, Palo Alto, Seattle, London, Paris, Hong Kong and Singapore.
What does the recorded video interview look like?
It is an on-demand video you record within a set timeframe, about your experiences, skills and interest in the role. You can practice as often as you like and re-record each answer once. Technical roles may also get coding challenges or an online technical assessment. Candidate reports from quant interns describe recorded coding tasks at this step.
Do risk-side QR interviews differ from Markets QR?
The postings point that way. Markets QR asks for no-arbitrage pricing, stochastic calculus, Monte Carlo and C++. Wholesale Credit QR asks for statistical and econometric modeling such as GLMs, logistic regression and time series on large panel datasets in Python. Model review asks for probability, statistics, mathematical finance and numerical methods. Ask your recruiter which team you are interviewing for.




