Back to search
Data & AnalyticsOn-site

Quantitative Researcher

DRW · On-site

Apply
Last seen by MeritLog September 12, 2026Source: GreenhouseSource version: greenhouse-job-board-v1

MeritLog read this listing from DRW's Greenhouse job board and last checked it on September 12, 2026.

Source: the employer's Greenhouse job board. Open the original listing for current details.

Job details

Work model
On-site
Salary
$200,000 – $300,000 per year
Location
New York
Occupation
Data Scientists(O*NET 15-2051.00)

Hiring context

How this role compares at DRW

DRW has 159 live roles in MeritLog’s catalog across 9 job families, and 68 of them are in data & analytics. 72 of those listings publish a pay range, a disclosure rate of 45%.

This role's posted range of $200,000 – $300,000 per year sits above 89% of the 71 other DRW roles quoted over the same currency and period.

DRW concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

  • Apply statistical and machine learning methods across diverse datasets to build trading models that capture novel signals in market behavior.
  • You will contribute across the full strategy lifecycle - from alpha research and signal generation to portfolio optimization and execution logic.
  • You will prototype new ideas, investigate strategy components, and write production-quality code to bring them to life.
  • We're a highly collaborative team that moves quickly and holds a high bar for rigor. We invest in mentorship and hands-on guidance to help you ramp up and grow.

What they're asking for

  • 2+ years of prior work experience in statistical arbitrage or systematic trading researchExperience
  • Proven ability to conduct research with large, noisy real-world datasetsSkill
  • Strong programming skills, with proficiency in Python for data analysis and machine learning. Experience with C++ a plus but not requiredSkillPreferred
  • Degree in a quantitative or technical discipline, such as statistics, computer science, physics, mathematics or economics. All levels welcome, from bachelor's to doctorateEducation
  • Deep-diving, detail-oriented thinker with a strong bias for action and ability to excel in a fast-paced environmentSkill
  • Ability to own and drive open-ended problems, explore novel approaches, and communicate complex ideas clearlySkill

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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 Quantitative Researchers to join our expanding Mid-Frequency Systematic Trading team in New York City. Responsibilities • Apply statistical and machine learning methods across diverse datasets to build trading models that capture novel signals in market behavior. • You will contribute across the full strategy lifecycle - from alpha research and signal generation to portfolio optimization and execution logic. • You will prototype new ideas, investigate strategy components, and write production-quality code to bring them to life. • We're a highly collaborative team that moves quickly and holds a high bar for rigor. We invest in mentorship and hands-on guidance to help you ramp up and grow. Qualifications • 2+ years of prior work experience in statistical arbitrage or systematic trading research • Proven ability to conduct research with large, noisy real-world datasets • Strong programming skills, with proficiency in Python for data analysis and machine learning. Experience with C++ a plus but not required • Degree in a quantitative or technical discipline, such as statistics, computer science, physics, mathematics or economics. All levels welcome, from bachelor's to doctorate • Deep-diving, detail-oriented thinker with a strong bias for action and ability to excel in a fast-paced environment • Ability to own and drive open-ended problems, explore novel approaches, and communicate complex ideas clearly 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. [#LI-AC]

Keep exploring

More Data & Analytics roles

Search all jobs

Privacy choices

Analytics and advertising stay off unless you allow them. Private data stays out.

Read the privacy notice