Quantitative Researcher

Our formula for success is to hire exceptional people,

encourage their ideas and reward their

results.

As a Quantitative

Researcher , you will develop mathematical models

using advanced statistical learning methods to build automated

trading strategies across multiple asset classes. Our research team

collaborates on idea generation and strategy development, while

encouraging independent exploration and original approaches. You

will have access to clean data integrated with compute resources

and the support of experienced researchers, traders and dedicated

software developers. You will conduct quantitative analysis of

market data to uncover relationships and identify historical

trends. We do not require familiarity with or prior experience in

financial markets for this role. We will give you the training you

need to be successful.

How you

will make an impact

Extract predictive signals from financial data through

both traditional statistical analysis methods and cutting edge

machine learning techniques

Assist software

developers to translate research strategies into production

software

Optimize the order execution and risk

management of our trading system

Create robust

solutions to problems presented in the trading

environment

Formulate and apply mathematical

modeling techniques to enhance existing trading strategies and

perform innovative new research with the goal of identifying and

capturing trading opportunities

Automate

human-decision based trading strategies; prototype algorithmic

trades from trading

ideas

You will be

right at home if you have...

A degree in a technical discipline with a focus on

statistics, machine learning, signal processing, optimization and

control graduating between December 2025

and August 2026

(Bachelor's, Master's, PhD)

curiosity for model development and experience handling large data

sets

Expertise in programming using Python, R,

MATLAB, or C++ for conducting research

Can

advocate for your beliefs in a concise and effective way with the

team

Significant hands-on experience applying

machine learning algorithms to real world problems

• Strong problem-solving and statistics skills

The proactive ability to take the lead on assignments and

deliver practical research results in a timely

manner

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.

For more

information about DRW's processing activities and our use of job

applicants' data, please view our Privacy Notice at

href="https : / / drw.com / privacy-notice">

https : / / drw.com / privacy-notice .

California

residents, please review the California Privacy Notice for

information about certain legal rights at

href="https : / / drw.com / california-privacy-notice">

https : / / drw.com / california-privacy-notice .

#LI-DNI