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Permanent

Quantitative Researcher

London
money-bag Negotiable
1D7BF134C925C1D0F6E3AA621D9FFFC9
Posted Yesterday

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 impactExtract predictive signals from financial data through both traditional statistical analysis methods and cutting edge machine learning techniquesAssist software developers to translate research strategies into production softwareOptimize the order execution and risk management of our trading systemCreate robust solutions to problems presented in the trading environmentFormulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunitiesAutomate human-decision based trading strategies; prototype algorithmic trades from trading ideasYou 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

September 2026

(Bachelor’s, Master’s, PhD)A curiosity for model development and experience handling large data setsExpertise in programming using Python, R, MATLAB, or C++ for conducting researchCan advocate for your beliefs in a concise and effective way with the teamSignificant hands-on experience applying machine learning algorithms to real world problemsStrong problem-solving and statistics skillsThe proactive ability to take the lead on assignments and deliver practical research results in a timely mannerDRW 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’snot 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 https://drw.com/privacy-notice

.Accepted file types: pdf, doc, docx, txt, rtfEnter manuallyAccepted file types: pdf, doc, docx, txt, rtfEducationSchool * Select...Degree * Select...Select...Select...Start date year *End date month * Select...End date year *Legal First Name (if different from preferred name)Legal Last Name (if different from preferred name)LinkedIn ProfileWebsitePlease provide a copy of your most recent transcript from your highest degree level. *Accepted file types: pdf, doc, docx, txt, rtfAre you legally permitted to work in the UK? * Select...Do you have a current UK work permit? * Select...Will you now or in the future require DRW to sponsor you in the UK? * Select...How did you hear about this job? * Select...Please provide additional detail if appropriate.

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