Quantitative Researcher - 2027 Summer Internship

We need to output HTML fragment with sections: About the role? The posting includes Company Description, Job Description, Tracks, Benefits, Salary Range, Location, Interview Process, Qualifications, etc. We must not repeat job title as heading. Use

for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. However we need to map content to these headings only if there is real specific content. The instructions: "use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It suggests we can use those headings but only when posting has real specific content for it. We must not emit heading followed by filler/placeholder text. So we need to decide which sections have content. We have: - Company Description: could be "About the role"? Actually "About the role" maybe describes the role. Could use "About the role" heading with company description and job description. - Responsibilities: maybe from Tracks and description: analyzing order book data, constructing alpha signals, etc. Could list responsibilities. - Requirements: qualifications: Master's/PhD, experience, etc. - Qualifications: maybe same as requirements? Might be overlapping. But we can have Qualifications heading for education/degree requirements. - Skills: technical skills: Python, NumPy, pandas, C++, ML/DL, Kaggle. - Benefits: list benefits. - Pay: Salary Range. - Schedule: maybe not given; no schedule info. So we should not include Schedule heading. Also we have Location, Interview Process, etc. Those are not in the list of allowed headings? The instruction says use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't forbid other headings, but suggests we should use those. Probably we should stick to those headings only. However we have location and interview process which are substantive; maybe we can include them under appropriate headings like "About the role" or "Responsibilities"? But better to include them as separate sections? The instruction says "use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It doesn't say we cannot use other headings, but it's implied to use those for sections. However we could also add other headings if needed, but risk violating. Safer to map all content into those categories. We can put location and interview process under "About the role" maybe as a paragraph. But we must preserve ALL substantive information; we cannot drop location or interview process. So we need to include them somewhere. Thus we can have sections: - About the role (company description, job description, location, interview process) - Responsibilities (tracks details) - Requirements (qualifications: degree, experience) - Qualifications (maybe education specifics? Could combine with Requirements; but we need to avoid duplication. Perhaps Requirements for experience, Qualifications for education.) - Skills (technical skills) - Benefits (list) - Pay (salary range) We should not include Schedule. Now we need to format with

headings, then content:

for prose,

• for lists. We must not include boilerplate like EEO, navigation, etc. Remove the Equal Employment Opportunity paragraph. Also remove "Additional Information" EEO block. Also remove "Other Frequently Asked Questions & Answers" link? That's a link to Google Doc; it's substantive? It's a FAQ; maybe we can keep as a link? It's not boilerplate; it's a reference. Could include as a paragraph under About the role maybe. But the instruction: "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions." The FAQ link is not exactly boilerplate; it's a reference. Might keep. Also remove "Interested in spending 10 weeks working on real-world quantitative trading research? Learn more and apply:https://www.infquant.com/" That's application instruction; should remove. Now let's extract content. Company Description: "InfiniteQuant is a global quantitative trading and technology company. As a privately owned and funded proprietary trading firm, we focus on high-frequency quantitative trading across global financial markets.Our entire technology stack, from market data infrastructure and research platforms to simulation engines, execution systems, and trading strategies, is built in-house.Our high-frequency trading strategies generate hundreds of millions of order messages daily across thousands of symbols on major electronic exchanges. We maintain a multi-year archive of historical tick-by-tick market data, powering quantitative research, simulation, and strategy development." Job Description: "InfiniteQuant LLC is pleased to announce our annual Quantitative Researcher/Developer Internship tailored for students and recent graduates. We are actively seeking candidates with expertise in high-frequency statistical arbitrage, focusing on global commodities and digital assets, as well as in market-making strategies for spot, future, swap, and options.Exceptional interns will have the chance to rotate among various tracks throughout their internship, providing a comprehensive experience in the field.Since 2021, our summer internship program has given interns the opportunity to work on quantitative research for proprietary high-frequency trading (HFT) and alpha-driven market making in highly competitive markets, tackling real problems with real market data alongside our research and trading teams." Tracks: "Track1 - High-Frequency TradingAnalyze order book data and market trade data to generate high-frequency signals with strong statistical significance.Directly responsible for the construction of alpha signals or monetization for latency-sensitive, capacity-constrained strategies.Track2 - Prediction Market TradingEngage in sports and prediction market trading using quantitative pricing and liquidity management techniques.Monitor, track, and analyze sports prediction markets, including betting odds, price movements, and market sentiment, and provide insights for predicting sports outcomes." Benefits: "Team-wide career skills improvement workshops, group coaching, onsite events, and one-on-one training.USA or UAE working visa sponsorship for qualified candidates if needed.Career workshop.Team outing event and team dinner.Earn performance-based bonus.Corporate swagWell-stocked office kitchen." Note there is duplication: "Career workshop" appears twice? Actually "Team-wide career skills improvement workshops, group coaching, onsite events, and one-on-one training." then later "Career workshop." Might be duplicate; we should deduplicate. Salary Range: "$6,000-$10,000 per month" Location: "USA: Downtown Manhattan, New YorkUAE: Jumeirah Lakes Towers (JLT), DubaiHong Kong" Interview Process: "The interview process includes a few rounds with Quants, a coding test, and concludes with a final interview. Our candidate pool is exceptionally competitive. Successful candidates are either pursuing or have attained Master's or Ph.D. degrees, or they have significant work or internship experience from HFT proprietary trading firms or hedge funds." Qualifications (from later section): "Candidates must pursue or hold a Master's or Ph.D. in a quantitative discipline with an understanding of market microstructure. Experience in leading HFT prop shops, trading firms, or hedge funds.Work or internship experience in crypto trading is a plus.Proficiency in data-driven research, advanced statistics, and strategy development is expected. Strong Python skills, particularly with NumPy and pandas. Proficiency in C++.Machine Learning / Deep Learning experiencecompetitive experience on Kaggle or similar platforms is a big plus" We also have "Other Frequently Asked Questions & AnswersPlease refer to Google Doc https://drive.google.com/file/d/1EhoCCfqRnrNC8S5lbx6x49JulW970-V9/view?usp=sharing" We'll keep that as a paragraph with link. Now we need to map to sections. About the role: combine Company Description + Job Description + Location + Interview Process + FAQ link maybe. Responsibilities: Tracks details. Requirements: maybe experience requirements (leading HFT prop shops, etc.) plus maybe degree? But we have Qualifications for degree. Qualifications: degree requirement (Master's/PhD in quantitative discipline, understanding market microstructure). Skills: technical skills (Python, NumPy, pandas, C++, ML/DL, Kaggle). Benefits: list. Pay: salary range. We must avoid duplication. Let's craft content. About the role paragraph(s): - Company description: as given. - Job description: as given. - Location: list. - Interview process: description. - FAQ link: maybe a paragraph with link. We'll put them in

  tags. Responsibilities: we can make a

  with two items: Track 1 and Track 2 descriptions. Requirements: maybe a
  with items: Experience in leading HFT prop shops, trading firms, or hedge funds; Work or internship experience in crypto trading is a plus. Qualifications: maybe a
  with items: Must pursue or hold a Master's or Ph.D. in a quantitative discipline with understanding of market microstructure. Skills:
  with items: Proficiency in data-driven research, advanced statistics, and strategy development; Strong Python skills, particularly with NumPy and pandas; Proficiency in C++; Machine Learning / Deep Learning experience; Competitive experience on Kaggle or similar platforms is a big plus. Benefits:
  with items: Team-wide career skills improvement workshops, group coaching, onsite events, and one-on-one training; USA or UAE working visa sponsorship for qualified candidates if needed; Team outing event and team dinner; Earn performance-based bonus; Corporate swag; Well-stocked office kitchen. Note we removed duplicate "Career workshop". Pay:

  Salary range: $6,000-$10,000 per month

  Now ensure we don't include schedule. Now produce HTML fragment. We must not include or . Just the fragment. Let's write:

  About the role

  InfiniteQuant is a global quantitative trading and technology company. As a privately owned and funded proprietary trading firm, we focus on high-frequency quantitative trading across global financial markets. Our entire technology stack, from market data infrastructure and research platforms to simulation engines, execution systems, and trading strategies, is built in-house. Our high-frequency trading strategies generate hundreds of millions of order messages daily across thousands of symbols on major electronic exchanges. We maintain a multi-year archive of historical tick-by-tick market data, powering quantitative research, simulation, and strategy development.

  InfiniteQuant LLC is pleased to announce our annual Quantitative Researcher/Developer Internship tailored for students and recent graduates. We are actively seeking candidates with expertise in high-frequency statistical arbitrage, focusing on global commodities and digital assets, as well as in market-making strategies for spot, future, swap, and options. Exceptional interns will have the chance to rotate among various tracks throughout their internship, providing a comprehensive experience in the field. Since 2021, our summer internship program has given interns the opportunity to work on quantitative research for proprietary high-frequency trading (HFT) and alpha-driven market making in highly competitive markets, tackling real problems with real market data alongside our research and trading teams.

  Location: USA: Downtown Manhattan, New York; UAE: Jumeirah Lakes Towers (JLT), Dubai; Hong Kong.

  The interview process includes a few rounds with Quants, a coding test, and concludes with a final interview. Our candidate pool is exceptionally competitive. Successful candidates are either pursuing or have attained Master's or Ph.D. degrees, or they have significant work or internship experience from HFT proprietary trading firms or hedge funds.

  For more details, see the FAQ: Google Doc

  Responsibilities

  • Track 1 - High-Frequency Trading: Analyze order book data and market trade data to generate high