Quantitative Researcher - Experienced (DV QES)

About Us :

• 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 an experienced Quantitative Researcher to join our equities team. This role is open to candidates with hands-on experience in multi-frequency signal research across different time horizons. You will work closely with senior researchers and traders across our global offices (NYC, London, and Hong Kong) to explore market data, develop predictive signals, and build models that directly inform real trading decisions.
• This is a full-cycle research role—from data exploration to production deployment, from model development to live performance monitoring—with end-to-end ownership of the research process.

Responsibilities:

Analyze market data to uncover patterns, inefficiencies, and predictive signals across different time horizons

Build and backtest quantitative models using historical market data

Apply statistical and machine learning techniques—with an emphasis on tree-based methods—to enhance signal quality

Collaborate with researchers and traders to translate research insights into production-ready strategies

Develop and maintain data pipelines for large-scale, high-frequency, and time-series market data

Continuously monitor and iterate on live signals and models based on performance

Requirements:

2+ years of professional or research experience in high-frequency research and/or longer-term signal generation

Degree in a quantitative field (Mathematics, Statistics, Computer Science, Physics, Engineering, Financial Engineering, or related)

Strong proficiency in Python, including standard data science libraries (pandas, NumPy, etc.)

Genuine curiosity about financial markets and market microstructure

Solid foundation in statistics and quantitative analysis

Strong problem-solving skills and intellectual curiosity

Ability to communicate technical findings clearly to both technical and non-technical audiences

Familiarity with tree-based methods (e.g., Random Forest, XGBoost, LightGBM) is a plus

Experience in a proprietary trading or hedge fund environment is a plus

Experience with C++ or other low-level languages 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 . DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.