Quantitative Developer Interview Prep

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Dan LeeData & AI Lead
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Quantitative Developer Interview Prep

The short answer: Quantitative developers build the research tools, data pipelines and trading systems that quant researchers and traders rely on, mostly in C++ and Python. Only some of the nine firms here use the Quantitative Developer title in the US, so the same work is often posted as software engineering. Six of them publish a general or software engineering interview process, but none publishes a loop for the Quantitative Developer title itself. Millennium lists only its campus stages, and Point72 and Jump Trading publish nothing, so their loops come from candidate reports. Two Sigma and HRT prohibit AI tools in interviews, and the other seven firms publish no rule. Last reviewed October 2026.

Quantitative Developer interview: quick answers

QuestionShort answer
What does a quantitative developer do?Builds research tools, data pipelines and automated trading systems with quant researchers. Low-latency roles write C++ where microseconds matter, and research-facing roles lean on Python.
What do the interviews test?Data structures and algorithms come up in every loop. Low-latency teams add C++ and systems fundamentals, and several firms run design rounds on trading systems. D. E. Shaw lists probability and statistics among its topics, while Jane Street says its software engineering interviews have no math or probability.
Can I use AI tools?Not at Two Sigma or HRT, which both prohibit AI tools in interviews. The other seven firms do not publish a rule on AI use in interviews; ask your recruiter.
How much do quantitative developers make?Full-time US base ranges in the postings run from $150K at the low end of Millennium's to $350K at the top of Citadel's. D. E. Shaw ($275,000) and Optiver ($200,000) post a single figure, and Jane Street and HRT list a flat $300,000 base for new-grad engineers.
How is it different from a quant researcher?Researchers own the models and the research question. Developers own the code and systems the models run on. HRT's Algorithm Developer role overlaps both, with heavy coding on the research side.
How do you get in early?Every firm here runs engineering internships. Citadel posts Quantitative Research Engineer PhD roles, and Millennium and Point72 post Quantitative Developer internships, while the others hire mostly through software engineering internships and campus roles.

What quantitative developers do

The job sits between research and production. At Citadel, Quantitative Developers partner with investment teams to turn ideas into research and trading systems. At Two Sigma, Quantitative Software Engineers become authorities on the systems behind a research area and measure their work by its impact on trading models. Millennium and Point72's Cubist place many developers inside one portfolio manager's team, where they build the research platform, data pipelines and live trading tools for that team.

Some roles chase latency and others chase scale. HRT says its Trading Tech group's biggest challenge is latency and its R&D group's is scale, with Trading Tech about 70% C++ and R&D about 70% Python. Citadel Securities asks its Quantitative Research Engineers to turn models into ultra-low-latency C++, and Optiver's Equities/ETFs engineers build systems that react to exchange market data in microseconds or less. Jane Street is the outlier on language: even its Low-Latency Engineer role builds fast-trading systems mainly in OCaml. At the research end, Cubist postings are Python-first, and Citadel's Data Strategies Group builds alternative-data pipelines in Python.

Titles rarely match from firm to firm, so read the posting. Three firms post Quantitative Developer in the US. Millennium uses it across trading pods, Execution Services and IT, Point72 uses it mostly at Cubist, its systematic affiliate, and Citadel says its Quantitative Developers are also known as Quantitative Research Engineers, at both Citadel and Citadel Securities. Two Sigma's match is Quantitative Software Engineer, split by team. Jane Street and Optiver hire the work as Software Engineers in the US, and Optiver's one Quantitative Developer posting, in Amsterdam, is assessed as Core Software Engineer. D. E. Shaw's match is Software Developer in its Quantitative Strategies group. HRT hires software and research engineers, with Algorithm Developer as its research-leaning path. Jump Trading uses Quantitative Developer only in its Asia-Pacific trading teams, and its US match is Core Development software engineering.

How 9 companies run the quantitative developer interview

The short version of each process. Each company guide has the full detail, with links to the company's own pages, and says which parts come from candidate reports.

CompanyScreensMain interviewsAI toolsWhat stands out
CitadelOnline assessment (candidate reports), then a 45-minute first roundThree 45-minute interviews and leadership interviews (campus)No published ruleOne campus process for Citadel and Citadel Securities
Two SigmaOnline assessment (candidate guides)Three 60-minute technical interviews, more if invited backStrictly prohibitedTitle is Quantitative Software Engineer; general software engineering guide
Hudson River TradingTimed coding test, then 1 to 2 phone screensFull day of coding, debugging and design interviewsProhibited unless HRT says otherwiseNo puzzle questions; choose C++ or Python
Jane StreetTechnical interview by video, collaborative codingIn-person final rounds of collaborative codingNo published ruleTitle is Software Engineer; no math, probability or puzzles
D. E. ShawOnline coding test (candidate reports), then a phone interviewOne or more virtual interviews, then referencesNo published ruleTitle is Software Developer; probability and statistics can come up
Point72Recruiter call or technical screen (candidate guides)Technical rounds and a fit round (candidate guides, unconfirmed)No published ruleMostly at Cubist; Point72 publishes no loop
MillenniumScreening and assessments; 1 to 2 technical screens (candidate guides)Virtual final loop of 3 to 4 hours (candidate guides)No published ruleTitle used in pods, Execution Services and IT
Jump TradingRecruiter call, sometimes an online test, then a screen (candidate reports)Onsite of 3 to 7 rounds, by report (candidate reports)No published ruleTitle only in Asia-Pacific; US work is Core Development
OptiverOnline assessment, then a behavioral interview with a recruiterDiscussion-based technical interviews; team matching for experienced hiresNo published ruleTitle is Software Engineer; one assessment try per 8 months

The interview types in depth

Online coding tests

Most loops start with a timed online test. HRT and Optiver publish theirs. HRT's is a take-home coding test where it tells you to test your code, including corner cases, because the sample tests are not complete. Optiver sends its assessment after shortlisting and allows one attempt every 8 months. Millennium names technical and non-technical assessments for campus hires without describing them. At Citadel, Two Sigma and D. E. Shaw, the test comes only from candidate reports and guides, and Jump Trading candidate reports say not everyone gets one.

Lengths vary a lot. Candidate reports put Millennium's test anywhere from 2 hours to a 24-hour notebook, and candidate guides describe Optiver's as long object-oriented simulation problems followed by a multiple-choice section. One candidate guide describes a 3-hour, one-question developer test at Point72, which another guide does not mention. For a long build-style test, get a simple version working first, then improve it and say what each method costs.

Treat the test like production code. Read the whole problem, work a small example by hand, write your own edge cases and leave time to run them. A correct, tested solution to fewer problems usually beats rushed attempts at all of them.

Coding and data structures

Every loop has live coding on data structures and algorithms. Citadel's campus rounds are 45 minutes, with Python and C++ as core languages. Two Sigma's three 60-minute interviews cover topics such as tree and graph traversal, recursion, hash tables and concurrency, and grade testing as well as code. HRT lets you choose C++ or Python and says it avoids trick questions.

Some firms make the round feel like working together. Jane Street's software engineering loop is collaborative coding from start to finish, in the language you know best, with no math or puzzles. Its problems are open-ended and grow in parts: a retired question it publishes starts with memoizing a function and ends at a bounded cache with eviction. Optiver describes its technical interviews as discussion-based problem solving with an interviewer.

A structure that works: restate the problem, ask about input size and edge cases, give a simple solution and its cost, then improve it while talking through memory and time. On a problem that grows in parts, get each part correct and clean before you move on. Test with a small case out loud before you say you are done. Citadel and Two Sigma both say to use hints when you are stuck, so take them.

C++, language depth and systems fundamentals

Low-latency roles test how code runs on real hardware. HRT says its engineering interviews judge systems fundamentals such as memory, I/O and process management, and candidate reports describe questions on OS internals, C++ pointers and references, and implementing a pool allocator. Citadel Securities says many of its engineering roles expect C++ at the onsite. Jump Trading candidate reports describe screens on operating systems, virtual memory and undefined behavior, and onsite questions on struct padding and implementing std::vector. Optiver's own tips name computer architecture, networking, concurrency and memory management.

Python-first teams go deep on the language instead. Millennium candidate guides describe questions on asyncio, threads versus processes and decorators, and Cubist postings ask for knowledge of numerical library internals.

Prepare to explain cache lines and data layout, what a system call costs, how atomics and memory ordering work, and why allocation on a hot path hurts. Practice building small pieces such as a ring buffer, an object pool and an order book, and say how you would measure each one.

Design and build rounds

Design rounds here are about trading systems more than web services. Citadel Securities' experienced onsite takes one problem, such as an order book, a matching engine or a market-data pipeline, through design, code, code review and discussion over four to five hours, with new requirements added during the day. Two Sigma's technical interviews can include a systems design exercise and object-oriented design patterns, and HRT's onsite includes technical design discussions. Optiver says its technical interviews cover systems design and wants you to ask about load, latency and edge cases and draw labelled diagrams. Candidate guides describe design rounds on market data or risk systems at Millennium, and on order books, feed handlers or backtest pipelines at Point72.

Start with requirements and assumptions, sketch a design you can defend, then build the core path first. Keep the code readable so a reviewer can follow it, and be honest about its limits. Citadel Securities says a partial system you understand beats a finished one you cannot defend.

Probability and quick math

Probability is a smaller part of developer loops than of trader or researcher loops, and firms differ. D. E. Shaw says its technical interviews can cover probability and mathematical statistics, and a 2025 candidate report describes a separate math interview. Jane Street says its software engineering interviews have no math or probability questions. Candidate reports mention probability questions at Citadel and in a Two Sigma intern onsite, and candidate guides describe probability, expected value and quick Python simulations in HRT's Algorithm Developer rounds. Millennium's intern posting asks for probability and statistics.

Be fluent with expected value, linearity of expectation, conditional probability and the normal approximation, and check answers with a quick simulation when you can.

Behavioral and project deep dives

Citadel's second campus round mixes technical and behavioral interviews, and Citadel Securities suggests preparing a story about how your internships drove business outcomes. Two Sigma's later interviews cover specific projects and your contributions, and it says to tell the interviewer when work is confidential. Optiver runs a behavioral interview with a recruiter and suggests the STAR method, and D. E. Shaw says to know every job and project on your resume in detail. For Millennium pod roles, candidate guides describe a final conversation with the team or Portfolio Manager.

HRT names shallow fundamentals as the most common reason candidates fail, and lists poor listening, arrogance and indifference among the others.

Prepare four or five stories with numbers: a production bug you owned, a performance problem you fixed, a tool others used and a time requirements changed. Say what you did yourself.

Pay in US job postings

US salary ranges from each company's own postings for this role, seen October 29, 2026. They are base salary unless the company guide says the posting lists total salary. Each company guide has the postings and links.

CompanyTitles in the postingsPosted US pay range
CitadelQuantitative Developer or Quantitative Research Engineer, at both Citadel and Citadel Securities$175K to $350K
Two SigmaQuantitative Software Engineer, posted by team (Fast Engineering, Quantitative Components and others), with architect titles for senior hires$165K to $300K
Hudson River TradingSoftware Engineer – C++ (Core Development), Software Engineer (C++ or Python) for new grads, and Research Engineer; Algorithm Developer is the research-leaning path$200K to $300K
Jane StreetSoftware Engineer (Experienced, New Grad and Summer Internship), working mostly in OCaml, with Low-Latency Engineer as the closest match to a low-latency developer. Jane Street has no Quantitative Developer title, and only its trading-facing Software Engineer seats are quant developer work$250K to $300K
D. E. ShawSoftware Developer in the Quantitative Strategies group, plus Software Developer Intern and Software Developer, Ph.D. Intern for students. D. E. Shaw posts no Quantitative Developer title; Software Developer is the match$275K
Point72Quantitative Developer and Quantitative Software Developer, mostly at Cubist Systematic Strategies, its systematic affiliate; also Quantitative Developer - CIO Office and Quant Library Developer, Macro Technology$175K to $300K
MillenniumQuantitative Developer and Senior Quantitative Developer, across Trading pods, Execution Services and Information Technology$150K to $250K
Jump TradingQuantitative Developer in its APAC trading teams only; in the US the matching work is posted as Core Development software engineering, such as Software Engineer | Market Data Systems and the Campus Software Engineer internship$200K to $250K
OptiverSoftware Engineer in the US (HFT C++, Trading Strategies, Equities/ETFs and Research Platform); its only Quantitative Developer posting, in Amsterdam, is assessed as Core Software Engineer$200K

Entry-level paths

  • Citadel: Quantitative Research Engineer PhD Intern (US) roles of 11 weeks and PhD Graduate (US) roles at both Citadel and Citadel Securities, plus Software Engineer intern and university graduate postings.
  • Two Sigma: About 80 summer interns in New York across Quantitative Research and Software Engineering, plus campus software engineering hires and the NewTS onboarding program for recent graduates.
  • Hudson River Trading: Summer 2027 software engineering and algorithm development internships, 2027 new-grad Software Engineer and Algorithm Developer roles, and winter and early talent programs in New York.
  • Jane Street: Software Engineer internships of 10 to 12 weeks in New York, London, Hong Kong and Singapore, new-grad Software Engineer roles in all four offices, and Tools and Compilers internships for PhD and master's students.
  • D. E. Shaw: Software Developer Intern and Software Developer, Ph.D. Intern roles of 12 weeks in New York in summer 2027, with rolling applications and a recommendation to apply by the end of the previous calendar year.
  • Point72: A Cubist Quantitative Software Developer internship in New York, a Summer 2027 Quantitative Developer Intern role in Internal Alpha Capture and a January micro-internship in Cubist Central Research Technology.
  • Millennium: The 2027 Quantitative Developer Summer Intern role in New York, London, Hong Kong and Tel Aviv, which Millennium says it aims to hire its analyst class from.
  • Jump Trading: The 10-week Campus Software Engineer internship in Chicago, which Jump calls the main way it finds young engineers for Core Development, plus campus C++ and Python internships in Asia-Pacific offices.
  • Optiver: Open campus postings were in Europe when we checked: a 10-week Software Engineer Internship in London, the Amsterdam summer internship and the five-day Career Kickstarter: Tech program. US campus postings were closed.

AI tools in quantitative developer interviews

Rules on AI differ by company, so ask your recruiter before every round.

Prohibited. Two Sigma's software engineering interview guide says: "Use of ChatGPT or any other AI tool is strictly prohibited." It adds that any perceived use could result in disqualification of your application. HRT's postings say: "Use of AI tools by an applicant during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon." They add that HRT may end the interview, disqualify the applicant or rescind offers, and HRT's engineering blog says it does not welcome cheating candidates to interview again.

No published rule. Citadel, Jane Street, D. E. Shaw, Point72, Millennium, Jump Trading and Optiver do not publish a rule on AI use in interviews; ask your recruiter. Citadel's student program terms ban generative AI for program application content, which applies to those programs and not to job interviews, and the Citadel Securities onsite page lets most candidates use their own editor, language and tools without mentioning AI assistants. D. E. Shaw's closest rule is that a requested writing sample must be entirely your own work, unedited by anyone else.

On the job, AI is often expected. Two Sigma's Techniques Engineering posting lists AI coding tools among its required skills, and Citadel Securities describes large language models as an important tool in a quant development intern's research workflow. Several Millennium postings expect AI-assisted development, Jump Trading's campus postings list AI tools as a plus, and Optiver's Career Kickstarter: Tech program teaches AI-assisted development. None of this says what an interview or assessment allows.

A 6-week prep plan

WhenFocus
Week 1Read each target firm's postings and guide. Write down its title for the role, since several firms post the work as Software Engineer or Software Developer, along with its teams, its interview language options and its AI rule. Pick C++ or Python as your interview language.
Week 2Data structures and algorithms: one or two timed problems a day, with your own tests, talking out loud. Include a few multi-part problems that grow as you solve them.
Week 3C++ and systems fundamentals: memory layout, caches, atomics, system calls and processes. Build a ring buffer and an object pool. For a Python-first team, add Python internals and concurrency.
Week 4Trading systems design: an order book, a market-data feed handler and a pre-trade risk check. Carry one through design, code and a self code review in a single long session.
Week 5Probability and quick math: expected value, conditional probability and simulations. Add more for a research-leaning role such as HRT's Algorithm Developer, or for a firm whose interviews can include probability and statistics, such as D. E. Shaw. Jane Street's software engineering loop has none.
Week 6Behavioral stories and full mock loops with no AI tools. Rehearse explaining past projects, including confidential ones, at the right level of detail.

Courses for each round

Practice questions

Questions from our bank, then practice prompts from the company guides.

Questions from our bank

From the DataInterview question bank, picked for quantitative developer interviews. Open one to answer it.

Practice more questions

Low-latency and C++ practice

One prompt per company, from the company guides. These are our prompts, not reported interview questions.

A GQS research tool keeps 10 million ticks as a std::vector of 64-byte structs with eight fields, but most queries read only the timestamp and price. Why is a scan slow, and what would you change?

MediumC++

Sample Answer

Each struct fills a whole 64-byte cache line, so a scan that needs 16 bytes per tick still pulls in all 64. That is four times the memory traffic the query needs, and memory bandwidth is the bottleneck for a scan like this. Switch to a structure of arrays: one contiguous array of timestamps and one of prices. The scan then reads only the bytes it uses, sequentially, which the hardware prefetcher handles well and the compiler can vectorize. Say the trade-off: code that writes or reads whole ticks gets more awkward. Measure before and after with a profiler.

Practice more questions

Systems practice

One prompt per company, from the company guides. These are our prompts, not reported interview questions.

Design a limit order book for one symbol with add, cancel and match. Midway, the interviewer says it must handle 1 million cancels a second.

MediumSystem Design

Sample Answer

Start with requirements: price-time priority, partial fills, what a trade report contains. Keep each price level as a FIFO queue of orders and track the best bid and ask. Add a hash map from order id to the order's node so a cancel finds the order in O(1), and use an intrusive doubly linked list per level so unlinking is O(1). For the cancel load, avoid heap allocation on the hot path with a preallocated pool of order nodes, and remove empty levels lazily. Write tests for invariants: the book never stays crossed, and quantities balance. This mirrors the Citadel Securities onsite, where new requirements arrive during the day.

Practice more questions

Probability practice

One prompt per company, from the company guides. These are our prompts, not reported interview questions.

A hash table has 1,000 buckets. You insert 50 keys, each hashed uniformly at random. What is the expected number of pairs of keys that collide?

MediumProbability

Sample Answer

There are C(50, 2) = 50 x 49 / 2 = 1,225 pairs of keys. Each pair lands in the same bucket with probability 1/1,000. By linearity of expectation, the expected number of colliding pairs is 1,225 / 1,000 = 1.225. Linearity works even though collisions between pairs are not independent.

Practice more questions

Coding practice

One prompt per company, from the company guides. These are our prompts, not reported interview questions.

Write a function that tracks the median of a stream of trade prices. Then extend it to the median of only the last k trades.

MediumCoding

Sample Answer

For the full stream, keep two heaps: a max-heap for the lower half and a min-heap for the upper half, rebalanced so their sizes differ by at most one. Insert is O(log n) and the median is read from the tops. For a window of k, you must also remove the oldest trade. Lazy deletion works: record the price to delete, fix the size counts, and pop it when it reaches a heap top. A sorted list with binary search is simpler and fine for small k. Say which you pick and why.

Practice more questions

Behavioral practice

Prompts we wrote for quantitative developer behavioral rounds, with what a strong answer covers.

Tell me about a production bug you owned from detection to fix.

MediumBehavioral

Sample Answer

Explain how it was found, how you limited the damage, the root cause and the check you added so it cannot recur. Trading systems run live, so show that you protect correctness first.

Practice more behavioral questions

Are you ready for quantitative developer interviews?

1 / 5
Coding

Can you solve a medium algorithm problem in C++ or Python in about 30 minutes, with tests?

Company guides

Read the guide for each company you are interviewing with:

  • Citadel: The Citadel Quantitative Developer interview at Citadel and Citadel Securities: the shared campus process, the one-problem experienced onsite, titles and posted pay.
  • Two Sigma: Two Sigma hires quantitative developers as Quantitative Software Engineers. Its published guide covers software engineering in general: three 60-minute technical interviews and a strict AI ban.
  • Hudson River Trading: Hudson River Trading (HRT) hires quantitative developers as software and research engineers. The loop is a coding test, phone screens and a full-day onsite, with AI tools prohibited.
  • Jane Street: Jane Street hires developers as Software Engineers. The loop is a Zoom coding interview and in-person final rounds of collaborative coding, with no math or puzzles.
  • D. E. Shaw: D. E. Shaw hires quantitative developers as Software Developers in Quantitative Strategies. The loop is a phone interview and virtual interviews on algorithms, programming and probability.
  • Point72: Point72 hires quantitative developers mostly at Cubist, its systematic affiliate. It publishes nothing on the loop, so this guide labels every stage as unconfirmed.
  • Millennium: Millennium hires Quantitative Developers into trading pods, Execution Services and IT. Here is the published campus process, what candidates report and the posted New York pay.
  • Jump Trading: Jump Trading posts Quantitative Developer only in Asia; US developers join Core Development. Here is what candidates report about the loop and what the postings pay.
  • Optiver: Optiver hires quantitative developers as Software Engineers. The loop is an online assessment, a behavioural interview and technical interviews, and US postings list a $200,000 base.

Frequently Asked Questions

What is a quantitative developer?

A software engineer who builds the systems behind quantitative research and trading: research tools, data pipelines, simulators and automated trading systems. Firms use different titles, such as Quantitative Research Engineer at Citadel, Quantitative Software Engineer at Two Sigma, Software Developer at D. E. Shaw and Software Engineer at Jane Street and Optiver.

How is a quant developer different from a quant researcher?

Researchers design and test the models. Developers build and run the code and systems around them, and their interviews weigh coding and systems more than research questions. At Citadel, Quantitative Researchers go through a separate interview process. HRT's Algorithm Developers sit closer to research, with heavy coding.

Does Jane Street hire quantitative developers?

Not under that title. Jane Street hires developers as Software Engineers through one process and places them across the firm, so only its trading-facing seats are quant developer work in the usual sense. Low-Latency Engineer is the closest single posting. The interviews are collaborative coding in the language you choose, with no math, probability or puzzles.

Which firms publish their quantitative developer interview process?

None publishes a loop for the Quantitative Developer title itself. Citadel, Two Sigma, HRT, Jane Street, D. E. Shaw and Optiver publish a general or software engineering process with named stages. Millennium lists only its campus stages, without lengths or content. Point72 and Jump Trading publish nothing, so their loops come from candidate reports and guides, which disagree on details.

Do I need to know C++?

For low-latency roles, usually yes. Citadel Securities says most of its production systems are in C++ and many roles expect it at the onsite, and HRT's Core Development posting asks for advanced C++. Other teams are Python-first, including most Cubist roles at Point72. You can choose Python for HRT's software engineering interviews, Two Sigma accepts C, C++, Java or Python, and Jane Street lets you use any language.

Do quantitative developer interviews include probability?

It depends on the firm. D. E. Shaw says its technical interviews can include probability and mathematical statistics, and Jane Street says its software engineering interviews have none. Candidate reports mention probability questions at Citadel and Two Sigma, and candidate guides describe them in HRT's Algorithm Developer rounds. Prepare the basics unless your firm rules them out.

Do quantitative developer interviews include brainteasers?

Mostly no. HRT says it does not ask burst-of-insight or trick questions, Optiver says its technical interviews are not standard puzzle or brainteaser questions, and Jane Street says software engineers get no mental math or logic puzzles. Citadel Securities calls drilling puzzles the wrong preparation for its onsite. Candidate guides describe a probability and brainteaser screen for HRT's Algorithm Developer, a research-leaning role.

How much do quantitative developers make?

Posted US base pay in October 2026 was $175K to $350K across Citadel and Citadel Securities, $165K to $300K at Two Sigma, $200K to $300K at HRT, $175K to $300K for full-time Point72 roles, $150K to $250K at Millennium and $200K to $250K for Jump Trading's Market Data Systems role. Jane Street lists a flat $300,000 for Software Engineers and $250K to $300K for Low-Latency Engineer, D. E. Shaw a single $275,000 and Optiver a single $200,000. Postings at every firm add bonuses on top of the base.

Can I use AI tools in quantitative developer interviews?

Not at Two Sigma or HRT. Two Sigma says AI tools are strictly prohibited and any perceived use could disqualify you, and HRT prohibits them unless it instructs or agrees otherwise. Citadel, Jane Street, D. E. Shaw, Point72, Millennium, Jump Trading and Optiver do not publish a rule on AI use in interviews; ask your recruiter.

Do I need finance experience?

Not at the firms that address it. Two Sigma's postings say financial experience is not required, Citadel Securities says its onsite problem needs no domain knowledge, and HRT's software engineering internship says finance knowledge is not required. Jane Street's postings expect no finance experience, and D. E. Shaw and Millennium say the same for their interns.

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Dan Lee

Data & AI Lead

Dan is a seasoned data scientist and ML coach with 10+ years of experience at Google, PayPal, and startups. He has helped candidates land top-paying roles and offers personalized guidance to accelerate your data career.

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