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Quant Research Jobs (NOW HIRING)

YipitData

Product Manager, Quant Platform

YipitData is the leading market research and analytics firm for the disruptive economy and recently ... Our Data Feeds & Quant business is one of the fastest-growing segments of YipitData. To accelerate ...

Point72

Quantitative Research Intern (NLP)

New York, NY · On-site

We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals ...

YipitData

Product Manager, Quant Platform

OR · On-site +1

YipitData is the leading market research and analytics firm for the disruptive economy and recently ... Our Data Feeds & Quant business is one of the fastest-growing segments of YipitData. To accelerate ...

Seven Research

Quantitative Researcher

New York, NY · On-site

$200K - $300K/yr

At Seven Research, our close-knit team unites brilliant minds passionate about pushing ... Your Role Our Quantitative Researchers are the intellectual architects of our trading strategies ...

Seven Research

Quantitative Researcher

New York, NY · On-site

$200K - $300K/yr

At Seven Research, our close-knit team unites brilliant minds passionate about pushing ... Your Role Our Quantitative Researchers are the intellectual architects of our trading strategies ...

Nomura International

Quant Researcher

Manhattan, NY · On-site

$175K - $250K/yr

Advanced degree (PhD or Master's) in Mathematics, Statistics, Physics, Financial Engineering, Computer Science, or related quantitative field * 3-8 years of experience in quantitative research, risk ...

Nomura International

Quant Researcher

Manhattan, NY · On-site

$175K - $250K/yr

Advanced degree (PhD or Master's) in Mathematics, Statistics, Physics, Financial Engineering, Computer Science, or related quantitative field * 3-8 years of experience in quantitative research, risk ...

Frec Markets, Inc

Quant Researcher

New York, NY · On-site

$200K - $300K/yr

Quantitative Research & Strategy Development: You will live at the intersection of mathematics, finance, and statistics. You will own the design, validation, and refinement of the core methodologies ...

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Quant Research information

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$81.5K

$100.1K

$128K

How much do quant research jobs pay per year?

As of Aug 8, 2026, the average yearly pay for quant research in the United States is $100,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a quant researcher?

To thrive as a Quant Researcher, you need strong quantitative analysis, statistical modeling, programming expertise (often in Python, R, or C++), and typically an advanced degree in mathematics, statistics, finance, or a related field. Familiarity with data analysis platforms, machine learning libraries, and financial market data systems is essential. Analytical thinking, attention to detail, and effective communication help you present complex findings clearly and collaborate across multidisciplinary teams. These skills and qualities are crucial for developing robust trading strategies and making data-driven decisions in highly competitive financial environments.

What is the difference between Quant Research vs Quant Analyst?

AspectQuant ResearchQuant Analyst
Required CredentialsTypically requires advanced degrees (Master's or PhD) in quantitative fields, strong programming skillsOften requires similar degrees, with a focus on applying models to trading or investment strategies
Work EnvironmentResearch-focused, often in labs or dedicated research teams within financial firmsMore application-oriented, working closely with trading desks or portfolio managers
Employer & Industry UsageCommon in hedge funds, investment banks, and asset management firmsWidely used in trading firms, hedge funds, and asset management companies

While both roles require strong quantitative skills and similar educational backgrounds, Quant Researchers primarily focus on developing new models and theories, whereas Quant Analysts apply these models to support trading decisions and manage portfolios. The roles often overlap but differ in their core focus and daily tasks.

What is quant research?

Quantitative Research, often called 'Quant Research,' involves applying mathematical models, statistical techniques, and data analysis to financial and investment problems. Quant researchers typically work in finance or investment firms, where they develop algorithms and strategies for trading, risk management, or portfolio optimization. Their work relies heavily on programming, mathematics, and analytics to interpret large datasets and make data-driven decisions. Quant Research roles often require advanced degrees in fields such as mathematics, physics, computer science, or engineering.

What are the common challenges faced by quant researchers when working with large datasets, and how can they be addressed?

Quant Researchers often encounter challenges such as data quality issues, incomplete records, and computational limitations when handling large datasets. It's essential to implement robust data cleaning and validation processes to ensure accuracy. Leveraging high-performance computing resources and efficient algorithms can help manage computational demands. Additionally, collaborating closely with data engineers and IT teams can streamline data access and workflow, allowing researchers to focus on model development and analysis.
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Quant Research jobs near you
Infographic showing various Quant Research job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $100,127 per year, or $48.1 per hour.

Product Manager, Quant Platform

YipitData

Remote

Full-time

Retirement, PTO

Re-posted 17 days ago

Job description

About Us:
YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B.
We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. Our on-demand insights team uses proprietary technology to identify, license, clean and analyze the data many of the world's largest investment funds and corporations depend on.
For three years and counting, we have been recognized as one ofInc's Best Workplaces. We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle, Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency.
About the Role:
This is a remote-friendly opportunity that can sit in NYC (where our headquarters are located) or anywhere in the US, including in any of our US offices listed above.
At YipitData, we value ownership and impact. Our Data Feeds & Quant business is one of the fastest-growing segments of YipitData. To accelerate that growth, we're looking for a Product Manager to own and scale the platform on which our quant product efforts are built.
This role sits at the intersection of quant research, data products, engineering, and go-to-market. You will help turn proprietary and exclusively licensed alternative datasets - including transaction data, email receipt data, B2B spend data, and more - into standardized, client-ready factor and signal products for systematic investors. This is not a maintenance role. You will help define the product shape of our quant platform, build the operating model around it, and bring a new class of products to market.
Our Feeds & Quant organization includes product managers, quant researchers, product specialists, feed operations, and product marketers. We collaborate closely with engineering partners, who own technical architecture, infrastructure, and implementation, as well as with Sales, CS, and Product Specialists. Together, we serve a wide range of systematic users - from sophisticated funds that want flexible building blocks to smaller managers that need more packaged, immediately usable products.
In this role, you will:
  • Quant Platform & Factor Library Development
    • Define and own the product spec for our factor library - including factor definitions, universe/coverage rules, methodology notes, historical evidence packs, factor exposure files, QA frameworks, and update cadence
    • Build and scale a standardized factor taxonomy (e.g., growth factors, acceleration/inflection factors, surprise/revision-type factors) across multiple proprietary datasets
    • Collaborate with our quant research team to perform deep diligence on datasets and publish high-alpha signal research, translating raw research into repeatable, productized factor pipelines
    • Sequence the factor library from an initial constrained beta toward a complete library with traditional baseline factor models, alt-data factors, and incremental attribution frameworks.
  • Signal-to-Pipeline Engineering Partnership
    • Take quant researcher signal research and collaborate with engineering partners to turn insights into repeatable, scalable factor computation and delivery pipelines
    • Define product requirements for factor infrastructure - including reference data dependencies, standardized identifiers, automated QA, and monitoring systems
    • Own the product-side accountability for ensuring factor pipelines are highly stable, accurate, and delivered on a consistent frequency
  • Customer Research & End-Market Strategy
    • Conduct deep customer research to understand key systematic end-user needs, feed architecture designs, integration requirements, and backtesting workflows
    • Translate customer insights into a product build and prioritization pipeline that serves the full spectrum of quant buyers - from large systematic multi-managers running bespoke models to smaller funds consuming pre-packaged signals
    • Support pricing, packaging, and competitive positioning decisions for quant products in partnership with GTM teams
  • Go-to-Market & Commercial Accountability
    • Partner closely with our revenue and product marketing teams to build GTM plans for signals and bring them to market - including client-ready case studies, evidence packs, and methodology documentation
    • Share ARR and P&L accountability alongside Product Specialists / Product Enablement partners for the quant products you own
    • Collaborate with Product Specialists (our product-sales translators) to enable sales motions, support client conversations, and scale enablement across the quant product portfolio
  • Cross-Functional Collaboration
    • Partner with Engineering on technical approach, scaled infrastructure, delivery architecture, and reliability - you own strategy and direction; engineering owns implementation
    • Work closely with Quant Researchers, who function as a key internal customer providing research requirements, content, and deliverables for the external quant end market
    • Coordinate with Feed Operations on day-to-day delivery, incident management, and operational improvements
    • Partner with the CS team (who own feed retention and renewal) to drive retention, expansion, and client satisfaction

What We're Looking For:
  • Required
    • 8+ years of product management experience, with a strong preference for experience building products for buy-side systematic / quantitative users
    • Deep familiarity with the quant / systematic investing workflow - including factor construction, backtesting, signal evaluation, and portfolio construction
    • Experience defining and shipping data-intensive or quantitative products - factor feeds, signal libraries, analytics platforms, or similar
    • Strong ability to translate between quantitative research and product/engineering requirements - you can read a research paper and turn it into a product spec
    • Proven ability to work cross-functionally across research, engineering, sales, and marketing in a high-growth environment
    • Excellent customer research skills - you know how to run discovery with sophisticated quant buyers and synthesize feedback into product decisions
    • Strong commercial instinct - comfort with ARR accountability, pricing strategy, and competitive positioning
  • Preferred
    • Experience at a quantitative hedge fund, systematic asset manager, or alternative data provider serving the quant buy-side
    • Familiarity with alternative data (transaction data, web traffic, app data, email receipts, B2B spend, etc.) and how it's used in systematic strategies
    • Understanding of factor model frameworks (e.g., Barra, Axioma, or proprietary risk models) and how alpha signals are evaluated relative to traditional factors
    • Experience building or managing data delivery infrastructure - APIs, flat file feeds, cloud delivery, or data platforms
    • Comfort with Python, SQL, or similar tools for data exploration (you don't need to be a quant, but you should be able to dig into data)

What We Offer:
  • Our compensation package includes competitive salary and comprehensive benefit offerings:
    • We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
    • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
    • The annual on-target earnings for this position is anticipated to be up to $180-200k. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.
    • The compensation package also includes equity.

This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have offices in Austin, Miami, Los Angeles (CA), and Cupertino (CA). If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.
Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.
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