DV Trading
From DV Trading's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Overview: We're looking for a Quantitative Researcher, focused on orderbook-driven signal generation.
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.
We're looking for a Quantitative Researcher, focused on orderbook-driven signal generation. This role is ideal for someone early in their career who has hands-on experience working with limit orderbook data and a genuine curiosity about how markets function at the tick level. You'll work closely with senior researchers and traders to develop, test, and refine predictive signals and models that inform trading decisions.
Analyze high-frequency limit orderbook data to identify patterns, inefficiencies, and predictive signals
Build and backtest quantitative models using historical tick and orderbook data
Collaborate with senior researchers and traders to translate research findings into production-ready strategies
Develop and maintain data pipelines for processing large-scale, high-frequency market data
Apply statistical and machine learning techniques, particularly tree-based methods, to improve signal quality
Continuously monitor and iterate on live signals and models based on performance
1–3 years of professional or research experience working directly with orderbook / limit order book (LOB) data
Technical degree/background in a quantitative field (Math, Statistics, CS, Physics, Engineering, Financial Engineering)
Strong proficiency in Python, including standard data science libraries (pandas, NumPy, etc.)
Genuine interest in financial markets and market microstructure — you follow markets, not just models
Solid foundation in statistics and quantitative analysis
Strong problem-solving skills and intellectual curiosity
Ability to communicate technical findings clearly to non-technical stakeholders
DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.
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