Quantitative Researcher - Prediction Markets

DRW
New York, NY
On-site

Who this role is best for

Aimed at mid-to-senior level quantitative researchers who can independently drive open-ended research problems and collaborate across disciplines.

Best fit for

  • Candidates with 2+ years of quantitative research experience and a background in financial markets
    — “2+ years of experience in quantitative research, systematic trading, data science, or a related field”
  • Individuals with a strong foundation in probability, statistics, and machine learning techniques
    — “Strong knowledge of probability, statistics, and quantitative modeling”
  • Professionals who can bridge research and production, translating models into live trading systems
    — “Collaborate with traders and engineers to translate successful research into production trading systems”

Things to consider

  • The role requires a high level of independent problem-solving without explicit guidance
    — “Ability to formulate and independently drive open-ended research problems”
  • Candidates must be prepared to work with large, noisy datasets and rigorous validation processes
    — “Experience conducting research with large, noisy, real-world datasets”

How to stand out

  • Highlight experience with strategy backtesting and live performance analysis in your resume
    — “Conduct rigorous quantitative research and evaluate strategies through backtesting and simulation”
  • Emphasize projects where you improved pricing or trading using short-term market signals
    — “Research how short-term signals from related financial markets can improve prediction-market pricing and trading”
  • Demonstrate your ability to communicate complex models and results to non-technical stakeholders
    — “Ability to communicate complex ideas clearly and work effectively with traders, researchers, and engineers”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • successful development of predictive models
  • backtesting and simulation
Typical background
quantitative financedata science

Skills & requirements

Required

Quantitative ModelingMachine LearningStatistical AnalysisTrading Strategies

Preferred

High-frequency TradingMarket Microstructure

Stack & domain

PythonMachine LearningStatistical ModelingProblem SolvingAttention To DetailCommunicationFinancePrediction Markets

About the role

Original posting from DRW via Greenhouse

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

DRW is looking for a Quantitative Researcher to join our growing Prediction Markets team. The team develops systematic trading strategies across a wide range of prediction markets. This role combines quantitative modeling, market data analysis, and strategy development to identify opportunities in rapidly evolving markets. You will work closely with traders and engineers across the full strategy lifecycle, from initial research and model development through production deployment and live performance analysis.

What you’ll do:

Apply statistical and machine learning methods to develop predictive models and trading signals

Analyze large and diverse datasets to identify market opportunities and inefficiencies

Research how short-term signals from related financial markets can improve prediction-market pricing and trading

Conduct research into pricing, market making, market microstructure, execution, and risk management

Conduct rigorous quantitative research and evaluate strategies through backtesting and simulation

Develop analytical tools to monitor performance and improve live strategies

Collaborate with traders and engineers to translate successful research into production trading systems

Explore new products, datasets, and approaches as the prediction-markets business expands

What we’re looking for:

2+ years of experience in quantitative research, systematic trading, data science, or a related field

Degree in a quantitative or technical discipline such as mathematics, statistics, computer science, engineering, physics, or economics

Strong knowledge of probability, statistics, and quantitative modeling

Experience conducting research with large, noisy, real-world datasets

Strong programming skills, particularly in Python

Ability to formulate and independently drive open-ended research problems

Strong attention to detail and a rigorous approach to testing and validating results

Ability to communicate complex ideas clearly and work effectively with traders, researchers, and engineers

Intellectual curiosity and a genuine interest in financial markets and prediction markets

Additional experience that would be helpful:

Systematic or electronic trading

High-frequency or short-horizon signal research

Probabilistic forecasting or machine learning

Strategy backtesting and performance analysis

Experience moving quantitative research into live production

The strongest candidates will combine quantitative rigor with practical judgment, intellectual curiosity, and a willingness to take ownership of difficult, open-ended problems.

The annual base salary range for this position is $200,000 to $300,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

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Source: DRW careers (Greenhouse)

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