Quantitative Researcher - Machine Learning

Job details

Work model

Not provided by source

Salary

Not listed by source

Location

London, Singapore

Occupation

Data Scientists(O*NET 15-2051.00)

Hiring context

How this role compares at DRW

DRW has 156 live roles in MeritLog’s catalog across 9 job families, and 71 of them are in data & analytics. 65 of those listings publish a pay range, a disclosure rate of 42%.

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

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. The Machine Learning Researcher will have a deep understanding of the principles behind modern ML algorithms - including recent advances such as transformer-based architectures and other state-of-the-art frameworks - and the ability to turn that knowledge into high-impact, production-ready solutions. The role involves applying advanced ML techniques to a wide range of forecasting challenges, building scalable ML pipelines, and deploying them in production, while working with high-dimensional, noisy, structured and unstructured datasets. Experience applying ML models in financial markets is desirable, but exceptional candidates with a strong ML background from tech, startups, or academia will also be considered. Responsibilities • Research, design, and deploy robust ML models. • Build and maintain scalable, production-level ML pipelines. • Extract signals from large, noisy, real-world datasets. Qualifications • PhD (or exceptional MSc) in ML, Computer Science, or related field. • Deep theoretical and practical knowledge of core ML algorithms, and comfortable experimenting with model architectures, feature engineering, and hyperparameter tuning to produce high-performance and resilient models. • Proven experience taking ML models from research to live production. 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]

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