Quantitative Research Intern - Summer 2027 (DV Equities)

DV Trading

New York (NY)

Presencial

USD 57.000 - 81.000

A tiempo parcial

hace 3 horas
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Descripción de la vacante

DV Trading in New York is seeking a 2027 Quantitative Research Intern to join our equities team, focusing on generating systematic signals across multiple horizons. You will work with senior researchers and traders to explore market data, develop predictive signals, and build models guiding real trading decisions.

You will backtest quantitative models, apply tree-based methods, and contribute to data pipelines in a fast-paced, collaborative environment. Compensation is $50.00 per hour.

Formación

  • Pursuing Bachelor's, Master's, or PhD in a quantitative field (Mathematics, Statistics, CS, Physics, Engineering, Financial Engineering, or related)
  • Expected graduation in 2027 or 2028
  • Strong proficiency in Python and data science libraries

Responsabilidades

  • Analyze market data to uncover patterns and predictive signals across time horizons
  • Build and backtest quantitative models using historical market data in a simulation environment
  • Apply statistical and machine learning techniques, with emphasis on tree-based methods
  • Collaborate with traders and researchers to translate research into trading strategies
  • Contribute to data pipelines for large-scale, high-frequency, time-series market data
  • Iterate on research prototypes based on backtest results and team feedback

Educación

Bachelor's/Master's/PhD in quantitative field

Herramientas

Python
pandas
NumPy

Descripción del empleo

New York

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: We are looking for a 2027 Quantitative Research Intern to join our equities team, where you will focus on generating systematic signals across multiple time horizons. This role is ideal for candidates 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. This is an opportunity to gain direct exposure to how quantitative research is applied at a leading proprietary trading firm.

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, under the guidance of experienced mentors

Requirements:

  • Currently pursuing a Bachelor's, Master's, or PhD in a quantitative field (Mathematics, Statistics, Computer Science, Physics, Engineering, Financial Engineering, or related)
  • Expected graduation in 2027 or 2028
  • 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
  • Experience in high-frequency research and/or longer-term signal generation is a plus
  • Ability to communicate technical findings clearly to both technical and non-technical audiences
  • Self-motivated, with a strong desire to learn and collaborate in a fast-paced team environment

Compensation: $50.00 per hour

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.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in DV Trading's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval, or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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