2027 Quantitative Research Intern (DV Equities)

DV Trading LLC; Hong Kong Island; On-site; HKD 89,000 - 156,000; Full time

Job summary

DV Trading LLC in Hong Kong is seeking a 2027 Quantitative Research Intern to join our equities team. You will focus on generating systematic signals across multiple time horizons, working alongside senior researchers and traders to explore data and build predictive models.

The ideal candidate is pursuing a Bachelor’s, Master’s or PhD in a quantitative field, has strong Python skills, and a genuine interest in financial markets and market microstructure.

Qualifications

• 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 Python skills with 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

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

Skills

Python

Data science

Quantitative analysis

Communication

Problem solving

Education

Bachelor/Master/PhD in quantitative field

Tools

Pandas

NumPy

Job description

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.

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 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

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.