About the Company
Founded two decades ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people across North America, Europe and Asia. Since becoming an independent proprietary trading firm in 2016, DV Trading has scaled rapidly using its own capital, strategies and risk management to provide liquidity to markets worldwide. DV Group affiliates today include two broker-dealers, a cryptocurrency market maker and a growing investment adviser.
DV Equities is the group's Asia-Pacific equities and futures market-making business, trading cash equities, ETFs, index futures and related products on exchanges across the region.
Overview
We are looking for a 2027 Quantitative Researcher (Graduate) to join our equities team, where you will take direct ownership of systematic signal generation across multiple time horizons. This role is ideal for recent graduates with a strong quantitative foundation and hands-on experience in either high-frequency orderbook research or longer-term signal generation - whether through academic projects, prior internships, or independent research.You will work side-by-side with our senior researchers and traders to explore market data, develop predictive signals, and build models that directly inform real trading decisions.
Key Responsibilities
- Analyze market data to uncover patterns, inefficiencies, and predictive signals across different time horizons
- Build and backtest quantitative models using historical market data in a simulation environment
- Apply statistical and machine learning techniques - with an emphasis on tree-based methods - to enhance signal quality
- Collaborate closely with traders and researchers to translate research insights into robust trading strategies
- Contribute to the development and maintenance of data pipelines for large-scale, high-frequency, and time-series market data
- Iterate on research prototypes based on backtest results and team feedback, with increasing independence
- Monitor live strategy performance and refine models based on real market feedback
Qualifications & Requirements
- Currently pursuing a Bachelor's, Master's, or PhD in a quantitative field (Mathematics, Statistics, Economics, Computer Science, Physics, Engineering, or related), with an expected graduation by Summer 2027
- Strong proficiency in Python; experience with SQL, statistical modeling, or C++ is highly preferred
- Strong foundation in math, probability, and statistics
- Genuine interest in financial markets, algorithmic trading, and market microstructure
- Demonstrated ability to learn quickly and perform in a fast-paced, high-pressure environment
- Ability to maintain composure and communicate clearly under pressure
- Exceptional problem-solving ability and multitasking skills
- Prior internship experience in trading, quantitative research, or data analysis is a plus
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.
About DV Trading
DV Trading, founded in 2006 in Chicago as DV Group, is a proprietary trading firm active in commodities, equities and crypto via DV Chain, its institutional crypto desk providing liquidity and OTC services. With 400+ employees across Chicago, New York and London, DV combines market making, systematic strategies and venture via DV Crypto. Candidates need strong quantitative reasoning, risk discipline and interest in 24/7 crypto markets. DV Chain and DV Trading deploy proprietary quantitative algorithms and automated market making infrastructure to supply 24/7 liquidity across digital asset markets. DV Trading brings quantitative risk management and deep liquidity provisioning across spot markets, futures exchanges, and decentralized finance protocols.