JPMorgan Chase · Data
JPMorgan Chase Data Scientist Interview Questions & Preparation
Quick answer
A JPMorgan Chase Data Scientist interview combines JPMorgan Chase's 4-stage process — application & tests, video interview, assessment centre / superday, offer — with the technical and behavioural bar for a Data Scientist. Expect JPMorgan Chase to assess integrity & accountability and client focus, alongside core data scientist skills like statistics & probability and sql. Prepare data scientist answers framed around what JPMorgan Chase specifically looks for.
How JPMorgan Chase interviews Data Scientists
JPMorgan Chase is one of the largest global financial institutions, hiring across banking, markets, technology and operations. Its graduate and analyst processes are competitive and division-specific, balancing technical assessment with behavioural and commercial fit.
For a Data Scientist specifically, JPMorgan Chase pairs its standard assessment with a technical bar focused on statistics & probability, sql, python. Data science interviews test whether you can turn ambiguous business problems into measurable analyses. Strong candidates pair technical depth (stats, ML, SQL) with clear communication and product judgement.
The JPMorgan Chase interview process
| Stage | What to expect |
|---|---|
| Application & tests | CV screen plus online aptitude and situational assessments. |
| Video interview | Recorded behavioural and motivational questions. |
| Assessment centre / superday | Interviews, plus a case or group exercise, with senior staff. |
| Offer | Decision and offer. |
What JPMorgan Chase assesses
Data Scientist questions at JPMorgan Chase
Expect a blend of JPMorgan Chase's signature questions and core data scientist questions:
- 1Why JPMorgan, and why this division?
- 2Walk me through a valuation (banking) / a coding problem (technology).
- 3Tell me about a recent market or business story you've followed.
- 4Explain p-values to a non-technical stakeholder.
- 5Write a SQL query to find the second-highest salary per department.
- 6How would you design an A/B test for a new feature?
- 7When would you use precision vs recall?
- 8Tell me about a time your analysis changed a business decision.
- 9How do you handle missing data?
Example STAR answer
Example answer to: “Tell me about a time your analysis changed a business decision.”
Skills assessed
How to prepare for a JPMorgan Chase Data Scientist interview
- Tailor your prep to the specific division.
- Bring genuine commercial awareness.
- Define the metric and success criteria before reaching for a model.
- Practise SQL window functions and probability puzzles.
- Explain technical concepts in plain language — it's tested directly.
- Tie every analysis to a business decision.
Data Scientist salary
UK data scientists typically earn £45k–£85k, with senior and specialised roles exceeding £100k.
Frequently asked questions
What does the JPMorgan Chase Data Scientist interview process involve?
JPMorgan Chase's process runs through application & tests, video interview, assessment centre / superday, offer. For a Data Scientist, the technical rounds focus on statistics & probability, sql, python, and behavioural rounds assess integrity & accountability and client focus.
What is the JPMorgan interview process?
Typically online tests, a recorded video interview and an assessment centre or superday with interviews and a case or group exercise, all division-specific.
Is SQL tested in data science interviews?
Yes — SQL is almost always tested, including joins, aggregations and window functions.
How much machine learning do I need?
Enough to choose appropriate models, explain trade-offs and evaluate them properly. Depth scales with the role's seniority and specialism.
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