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Salary
$36k – $86k per year (Estimated)
Location
In office (Hong Kong)
Seniority
Junior
Overview
Company
Impact
Profile match
DV Trading is a proprietary trading firm headquartered in Chicago that trades for its own account as a liquidity provider on derivatives and securities exchanges worldwide, using quantitative and discretionary strategies. Together with its DV Group affiliates it runs trading and technology teams in Chicago, New York, London, Toronto, Dubai, Miami, Houston and the Bahamas, and its equities business operates as DV Equities. It hires quantitative traders and researchers, software developers and trading operations analysts, including graduate and summer internship programs.

About Us:

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.

Overview:

As a Quantitative Trader Graduate, you will join our DV Equities desk and participate in the execution and risk management of systematic trading strategies across global equity markets, learning our proprietary methodologies and systems through hands-on experience. You will work closely with senior traders and quantitative researchers to develop, refine, and monitor data-driven trading models. This role is designed for graduates with a strong quantitative foundation, a genuine curiosity about markets, and a willingness to grow in a fast-paced environment.

Responsibilities:

  • Work closely with senior traders to learn proprietary methodologies and quantitative trading systems
  • Participate in the execution and risk management of systematic trading strategies, including trade execution and risk layoffs
  • Build, maintain, and improve quantitative trading models using historical market and orderbook data
  • Analyze large datasets to identify patterns, inefficiencies, and new alpha opportunities for systematic strategies
  • Enhance existing strategies and identify new opportunities through data-driven research
  • Liaise between the trading desk, internal teams, and OTC relationships
  • Monitor live trading performance and iterate on models based on real-time market feedback
  • Additional responsibilities may be driven by the individual's interests and skills

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.

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