2027 Quantitative Researcher Graduate (DV Equities)

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in Hong Kong
Remote
Entry level
Financial Services
The Role
Conduct market-data research to identify predictive signals, build and backtest quantitative models, apply statistical and machine-learning methods, maintain high-frequency data pipelines, collaborate with traders, and monitor live strategy performance. The role focuses on systematic signal generation across multiple time horizons for equities and futures market-making.
Summary Generated by Built In

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 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. 

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

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. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Skills Required

  • Currently pursuing a Bachelor's, Master's, or PhD in mathematics, statistics, economics, computer science, physics, engineering, or a related quantitative field, with expected graduation by Summer 2027
  • Strong proficiency in Python
  • Strong foundation in mathematics, probability, and statistics
  • Genuine interest in financial markets, algorithmic trading, and market microstructure
  • 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
  • Experience with SQL
  • Experience with statistical modeling
  • Experience with C++
  • Prior internship experience in trading, quantitative research, or data analysis
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The Company
HQ: Chicago, IL
314 Employees
Year Founded: 2006

What We Do

Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 350+ people operating throughout North America and in Europe. 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 invest in exceptional individuals and empower them to realize their goals and make a lasting positive impact on our organization. Engaging a diverse group of talented people from different cultural, socioeconomic, and educational backgrounds helps provide us with a competitive advantage that drives our success.

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