Full-Time

Quantitative Trading Analyst

Posted on 8/18/2026

DRW

DRW

1,001-5,000 employees

Global diversified trading and investment firm

No salary listed

London, UK

In Person

Bachelor's, Master's, PhD

Category
Quantitative Finance (1)
Required Skills
Python
Machine Learning
Risk Management
C/C++
Data Analysis

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Requirements
  • One to three years of experience in quantitative research focused on machine learning, signal processing, optimization, or statistics.
  • A bachelor's, master's, or PhD in mathematics, statistics, physics, engineering, computer science, or a related field.
  • Advanced quantitative, analytical, and problem-solving skills, with the ability to apply them in time-sensitive situations.
  • Knowledge of probability and statistics and the ability to analyze large data sets.
  • Familiarity with programming in Python, C++, C, or similar languages.
  • Ability to advocate for perspectives on trading strategies and risk concisely to the team.
  • Ability to communicate effectively and work well in teams.
Responsibilities
  • Investigate the potential application of existing strategies to new products.
  • Quantitatively analyze trade data and perform post-trade analysis of strategies.
  • Assist in developing analytical tools.
  • Communicate relevant news, market events, and system behavior clearly and concisely to team members.
  • Challenge consensus on existing methodologies and trading strategies to contribute to the advancement of the team.

DRW identifies and captures trading and investment opportunities worldwide. It trades across many asset classes and instruments in markets around the globe, with time horizons ranging from seconds to years. The company relies on technology, in-depth research, and risk management to execute its strategies. DRW blends the energy and flexibility of a startup with the stability of an established firm, emphasizing continuous learning, collaboration, and high standards. Its goal is to find and exploit a broad range of opportunities to create value for the firm and its clients, while rewarding employees for their results.

Company Size

1,001-5,000

Company Stage

M&A

Total Funding

$2.5B

Headquarters

Chicago, Illinois

Founded

2001

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Simplify Jobs

Simplify's Take

What believers are saying

  • June 24, 2025 Digital Asset raised $135 million, led by DRW Venture Capital.
  • March 31, 2026 DRW led Rowan's $3.3 million seed for AI succession software.
  • DRW's June 2026 gas-power exit cleared room for new hires and strategy resets.

What critics are saying

  • February 25, 2026 natural-gas trader exits followed winter-storm losses in North American power.
  • June 16, 2026 Teoman Guler left after DRW's gas and power desk lost money.
  • Canton adoption still depends on regulated institutions; a stalled tokenization market cripples DRW's crypto bet.

What makes DRW unique

  • DRW trades equities, rates, FX, commodities, energy, and crypto with proprietary capital.
  • Don Wilson's team pairs quant research with direct venture bets through DRW Venture Capital.
  • DRW's Canton Network ties trading expertise to institutional blockchain infrastructure and governance.

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Benefits

Daily catered breakfast & lunch

Massages

Social events

Gym subsidy

Flexible work arrangements

Monthly tastings

Game room

On-site yoga classes and meditation

Employee led affinity groups

Mentor/mentee outings

Trivia nights

Educational opportunities

DRW-sponsored sports teams

Poker tournament

Private mother's suite

Company News

eFinancialCareers
Aug 17th, 2026
Your reminder that a new(ish) high frequency trading firm is hiring in London and Singapore.

Your reminder that a new(ish) high frequency trading firm is hiring in London and Singapore. 1 minute ago If you're looking for a job at an electronic trading firm, Jane Street is hiring, but Jane Street made a $15bn loss in July and is maybe not so shiny any more (despite being up $50bn in the year to last Friday). How about somewhere else instead? How about...Graviton? We have written about Graviton before. So has Bloomberg. Graviton is a high frequency trading firm (HFT) headquartered in India and founded by two unrelated 39 year-old graduates of the Indian Institute of Technology (IIT) in New Delhi, Ankit and Nishil Gupta. Bloomberg reported in April that Graviton was expanding in Singapore and London. Since then, it seems various building blocks have fallen into place. In Singapore, Graviton's operation is run by Brian West, a former head of Asia at DRW and employee at Jump Trading, who joined in 2022. Graviton opened a new Singapore office spread across two floors in June and is now hiring quant traders, quant researchers and a central execution trader to communicate with brokers and exchanges. It's also hired a global head of campus recruitment, Amanda Lim, who once worked for Singapore sovereign wealth fund GIC, and Michelle Lehoangonoc, who graduated from Nanyang Technological University in December and will be working in business development. In London, we reported in February that Graviton had hired Ian Jack, a former head of the European business for Hudson River Trading, to run its European office. Heenjin Yoon joined as the London-based head of business development around the same time as Jack but it's not clear whether the two have hired any people. Graviton isn't advertising any jobs in London yet. Nor is Jack listed as a director of a UK based entity on Companies House. The Guptas didn't immediately respond to a query about Graviton's hiring intentions. Graviton may be new to London and Singapore, but it is well established in India. Bloomberg said the firm was founded in 2014 and built a dominance in block trades on India's National Stock Exchange. Graviton was one of the first Indian firms to use field programmable gate arrays (FPGAs), said Bloomberg. It also reportedly lets quants code in languages familiar to them and then converts the code into instructions executed directly onto the FPGAs. Follow me on X. Follow me on LinkedIn. Have a confidential story, tip, or comment you'd like to share? Contact: +44 7537 182250 (SMS, Whatsapp or voicemail). Telegram: @SarahButcher. Signal: sarahbutcher.22 Click here to fill in our anonymous form, or email [email protected]. Bear with us if you leave a comment at the bottom of this article: comments are moderated intermittently by human beings. Sometimes these humans might be asleep, or away from their desks, so it may take a while for your comment to appear. You must take sole responsibility for comments you post on this site. We will take reasonable steps to weed out anything that we consider to be offensive or inappropriate. The essential daily roundup of news and analysis read by everyone from senior bankers and traders to new recruits. Boost your career. Find thousands of job opportunities by signing up to eFinancialCareers today. Top Articles

Compsmag
Aug 12th, 2026
CME Group to launch first futures contracts on AI computing power.

CME Group to launch first futures contracts on AI computing power. CME Group and Silicon Data announced on Monday that they will launch the first regulated futures contracts tied to the rental price of artificial intelligence computing power, with trading set to begin on October 5 pending regulatory approval. The two contracts, the Silicon Data H100 Rental Index Future and the Silicon Data B200 Rental Index Future, will track hourly rental rates for Nvidia's H100 and next-generation Blackwell B200 graphics processing units, allowing companies and investors to hedge or speculate on the cost of the infrastructure that underpins modern AI systems. News summary. * CME Group and Silicon Data will launch two compute futures contracts on October 5, 2026, pending regulatory review. * The contracts will track Silicon Data's hourly GPU rental indexes for Nvidia's H100 and Blackwell B200 chips. * Each contract represents one month's rent for an Nvidia H100, settled financially against the benchmark index. * The products will be listed on NYMEX and cleared through CME Clearing. * Silicon Data, backed by trading firm DRW, publishes what it describes as the first daily GPU benchmarks for on-demand rental rates. How the contracts work. The futures will be cash-settled against Silicon Data's indexes, which aggregate hourly rental prices for GPU capacity across cloud providers and data center operators. Rather than delivering physical chips, the contracts will settle financially based on the average index price over the contract month. Each contract will represent one month of rent for a single Nvidia H100 GPU, priced in U.S. dollars. The B200 contract will use a similar structure tied to the newer Blackwell architecture. The products are designed for AI developers, cloud-service providers, and institutional investors who need to manage exposure to compute price volatility without taking physical delivery of hardware. A fragmented market. Silicon Data Chief Executive Officer Carmen Li said the launch addresses a pricing opacity problem that has plagued the compute market. "For years, two companies buying the exact same GPU capacity could pay wildly different prices with no way to know who got the better deal," Li said in a statement provided to CNBC. "They will now have a benchmark to check that against." Li, a former Bloomberg and DRW employee, founded Silicon Data in April 2024 to bring financial-market infrastructure to GPU pricing. The company has since published daily rental indexes for the A100, H100, and B200, along with forward curves and hyperscaler benchmarks. DRW, the Chicago-based trading firm founded by Don Wilson, provided seed backing. You Might Be Interested In Pete Keavey, global head of energy and environmental products at CME Group, compared compute to oil in a statement. "Just as oil fueled the 20th century economy and evolved from spot trading into a global derivatives market, our futures contracts will now turn compute into a standardized, tradable commodity that will provide global businesses with a reliable, regulated venue to manage price risk," he said. The broader infrastructure push. The launch arrives as Wall Street builds new financial instruments around the AI infrastructure boom. Nvidia is working with several of the world's largest asset managers on an effort that could channel as much as $500 billion into AI data centers and related infrastructure, according to prior reporting. Compute futures add a derivatives layer to that ecosystem. Instead of investing directly in data centers, chipmakers, or cloud providers, investors can now gain exposure to the underlying price of computing capacity itself. For AI labs and hyperscalers, the contracts offer a hedging mechanism against the sharp price swings that have characterized the GPU rental market. CME Group Chairman and Chief Executive Officer Terry Duffy said in a May announcement that "compute is the new oil of the 21st century" and that "every AI model trained, every transaction cleared, and every byte of data processed runs on compute, which is becoming a fast-emerging asset class in its own right." The contracts remain subject to regulatory review. CME Group has not specified which regulator is conducting the review, though NYMEX operates under the oversight of the Commodity Futures Trading Commission. You Might Be Interested In

eFinancialCareers
Jul 22nd, 2026
BlueCrest likes hiring traders from banks. Sometimes they quickly leave again.

BlueCrest likes hiring traders from banks. Sometimes they quickly leave again. 3 hours ago If you want to become partner in a hedge fund before the age of 30, you might want to join BlueCrest, the former hedge fund which has become the family office of macro trading legend Mike Platt. BlueCrest employs two partner level portfolio managers in London aged under 30 years old: Benjamin Turner, aged 25, who joined from Barclays in May, and Luke Ryan, aged 27, who joined from DRW in June. Other funds also hire young traders from banks. Balyasny, for example, hired 28 year-old Wajih Ahmed from Goldman Sachs last November. And 29 year-old Paulo Costa went from Goldman to Millennium in March. To our knowledge, though, Ahmed and Costa are not partners. As a rule, headhunters say it's often easiest to go from a bank to BlueCrest than to a multistrategy hedge fund. "BlueCrest stands out as the one single fund that is still very open to taking from the sell-side," says one hedge fund-focused headhunter, speaking off the record. "Other firms here have been quite vocal with us about their preference for avoiding sell-side guys. The barrier to entry to top funds is now higher than ever and there's usually a requirement for buy-side track records." The biggest multistrategy funds now want people who can manage $2bn with a Sharpe above 1.5. "A portfolio manager with a buy-side track record will always command higher interest than an untested sell-side trader," says the headhunter. "Big funds see sell-side guys as "bets", but fewer and fewer make the mark." At BlueCrest, by comparison, recent hires include Akash Garg, an emerging markets trader from JPMorgan, and Coco Hands, a former CEEMEA rates trader from BNP Paribas. It's thought that the fund is comparatively willing to hire traders from banks and to start them on smaller pools of capital. However, BlueCrest has also made a large number of recent PM recruits from the buy-side globally. Working for BlueCrest can be very lucrative. Platt is reputed to pay successful PMs there 30% of profits versus a standard 20% elsewhere. However, pay is thought to be deferred over three years. There are unconfirmed suggestions that any subsequent negative drawdowns at the fund are netted off against these deferrals. Joining BlueCrest is one thing. But as at many large hedge funds, staying there can be another. BlueCrest didn't respond to a request to comment for this article, but some people have come and swiftly gone. Earlier this year, Ankur Aneja, a top trader at Barclays, left after less than six months for reasons that are unclear, but which may have been related to the start of the war in the Middle East. Aneja didn't respond to a request to comment for this article. It's not clear whether he was involved in a drawdown or not. In February, Alex Watson, a senior natural gas trader who'd joined BlueCrest in October 2023 (from EDF, not a bank) was let go along with a team of analysts. Bloomberg reported that whipsawing gas prices had dented his profitability. Watson didn't respond to our query. Previous swift exits, include Artur Tarczynski, the ex-EMEA head of interest rate options trading at Deutsche Bank. Tarczynski briefly joined BlueCrest in November 2021 before leaving in June 2022. He is now co-head of non-linear rates trading at Bank of America. It's not clear why Tarczynski left BlueCrest so soon. Decisions to cut risk at BlueCrest are thought to be made predominantly by Platt. A recent court case based on historic working practices at BlueCrest heard that the fund was managed by a five person executive committee, but that "Essentially we have one client." - Michael Platt. Platt didn't respond to a request to comment for this article. When BlueCrest does part company with people, there are suggestions that it might shorten non-competes to help them on their way. Speaking off the record, one former trader who worked for the fund for a brief period after joining from a bank, told us he'd been able to negotiate an agreement offering him more lenient terms for his departure. Another headhunter said he's seen this happen a few times recently as people have left BlueCrest. Reduced non-competes could mitigate the risk of leaving a banking seat for BlueCrest. It's also worth noting that a lot of traders at BlueCrest do endure: there are 19 partners with over five years tenure at BlueCrest LLP in London, many of whom came from banks. For the moment, though, the swift coming and going of Aneja is fresh in people's minds. One London macro trader told us he had been considering going to BlueCrest, but is now feeling a little wary as a result. Another headhunter said BlueCrest is simply like most hedge funds. "There are no favourites on the buyside. You make money or you're gone. It's still a meritocracy, unlike banks," he reflected. Follow me on X. Follow me on LinkedIn. Have a confidential story, tip, or comment you'd like to share? Contact: +44 7537 182250 (SMS, Whatsapp or voicemail). Telegram: @SarahButcher. Signal: sarahbutcher.22 Click here to fill in our anonymous form, or email [email protected]. Bear with us if you leave a comment at the bottom of this article: comments are moderated intermittently by human beings. Sometimes these humans might be asleep, or away from their desks, so it may take a while for your comment to appear. You must take sole responsibility for comments you post on this site. We will take reasonable steps to weed out anything that we consider to be offensive or inappropriate.

Utah Business
Jul 9th, 2026
Salt Lake City's Databento raises $97M Series B led by NEA for global expansion

Salt Lake City-based market data platform Databento has closed a $97 million Series B round led by New Enterprise Associates, with participation from DRW Venture Capital, Redpoint Ventures, and Tribe Capital. The round drew more than $300 million in total investor demand. The company provides institutional-grade market data on demand, eliminating months of procurement work for trading desks. Databento reached profitability with 24 employees and grew revenue 6.65 times year over year whilst maintaining over 97% enterprise logo retention. The raise follows a $10 million addition to its Series A in October 2024, which brought that round to $30 million total. NEA partners Rick Yang and Danielle Lay will join Databento's board. The capital will fund expansion to more than 20 data centres worldwide and add over 100 petabytes of storage capacity.

Databento
Jul 9th, 2026
Databento raises $97 million Series B.

Databento raises $97 million Series B. Christina Qi, CEO July 09, 2026 Databento, Inc. is excited to announce that Databento has raised $97 million in Series B financing led by New Enterprise Associates (NEA), with participation from strategic and existing partners, including DRW, Redpoint Ventures, and Tribe Capital. This investment positions Databento, Inc. to accelerate its mission of building the market data platform for modern finance. Databento was built by practitioners across quant trading and high-frequency market making. Over the course of its careers, Databento, Inc. has come to realize that many of the industry's biggest pain points aren't really about the market data itself, but rather the operational issues that emerge in production while using the data. Unlike the previous generation of market data providers, Databento, Inc. has focused relentlessly on solving those problems. Its purpose is simple: to shorten the path from idea to production. The numbers validate its thesis. Databento, Inc. has grown revenue 6.65x year-over-year while maintaining 97% enterprise retention since inception. Databento, Inc. has also reached profitability well ahead of schedule, without dipping into its last round of funding. Databento, Inc. has done so with incredible efficiency. With a team of fewer than 30 engineers, Databento, Inc. has built a bare-metal footprint serving more than 20 petabytes of raw market data, written its own feed handlers for over 70 exchanges, and now support more than 3,000 companies worldwide. This trajectory places Databento, Inc. among the fastest-growing companies in fintech history - proof that teams are ready for a modern alternative to legacy market data. Databento, Inc. wouldn't be here without the trust of its customers and the wider Databento community. Three years after launch, Databento has emerged as the market data provider of choice for many of the world's most demanding financial firms, whose combined assets under management and daily trading activity are measured in the trillions of dollars. If you've ever traded a stock or options contract on a mobile app or filled your tank at a gas station, you've almost certainly relied on a product or service powered by Databento. Today, its customers include many of the world's largest hedge funds, proprietary trading firms, broker-dealers, fintech companies, physical commodities traders, digital asset firms, and frontier AI labs. Few categories are more foundational than market data, which underpins nearly every financial decision and accounts for more than $50 billion in annual spending across the industry. Today, it's easier than ever for anyone to write software, and this shift is fundamentally changing how financial systems are built. Programmatic access to market data is becoming the industry default. Databento, Inc. anticipate that three years from now, more finance professionals will know how to use a Databento API than a traditional terminal. This round takes Databento, Inc. one step closer to realizing its vision. Databento, Inc. is expanding Databento across new asset classes and geographies while continuing to invest in the infrastructure that sets Databento, Inc. apart. Databento, Inc. has already begun building out coverage in Europe and APAC, and Databento, Inc. expect to grow to over 20 data centers worldwide within the next six months. To support this expansion, Databento, Inc. has secured more than 100 petabytes of usable storage capacity, more than doubling its previous footprint. Its next chapter is only beginning, and Databento, Inc. can't wait to keep building. Reaching profitability allowed Databento, Inc. to approach this raise selectively. The round was significantly oversubscribed, drawing more than $300 million in demand, and Databento, Inc. is grateful to be partnering with investors who share its long-term vision for the future of market data: Alumni Ventures, Blindspot Ventures, Cross Creek, DRW Venture Capital, Fifth Down Capital, Motley Fool Ventures, NEA, Operator Collective, TGVP, Tribe Capital, Trousdale Ventures, and Redpoint Ventures. As part of this round, Rick Yang (Partner and Head of Technology at NEA) joins its Board of Directors, alongside Danielle Lay (Partner at NEA), who joins as a board observer.