| Job Position and Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|
| $64k - $72k | ||||
| $250k - $350k | ||||
| $78k - $150k | ||||
| $84k - $150k | ||||
ISO 9001 Certified | 400+ students | Learn more | by Metana | ||
| $64k - $86k | ||||
Dvtrading📍 Remote | $84k - $100k | |||
Dvtrading📍 Remote | $78k - $150k | |||
| $84k - $115k | ||||
| $112k - $144k | ||||
| $200k - $300k | ||||
| $125k - $150k | ||||
| $84k - $100k | ||||
| $100k - $150k | ||||
| $100k - $230k | ||||
Douro Labs📍 Europe | $64k - $90k |
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.
What does a Quantitative Researcher do?
A Quantitative Researcher is a professional who conducts research in the field of finance, economics, or related fields using quantitative methods such as statistical analysis and mathematical modeling
They typically work in the financial industry, including investment banks, hedge funds, and asset management firms
The job of a Quantitative Researcher can vary depending on the employer and industry, but generally, they use quantitative techniques to analyze financial data and develop models that can be used to make investment decisions
A Quantitative Researcher in Web3 is a professional who conducts research using quantitative methods in the context of decentralized finance (DeFi) and other Web3 applications
They work to understand the behavior of decentralized systems and develop models that can be used to optimize investment strategies
Some specific tasks that a Quantitative Researcher may be responsible for include:
- Developing models for decentralized finance: Quantitative Researchers in Web3 may develop mathematical models and algorithms that can be used to analyze decentralized financial systems, such as decentralized exchanges (DEXs), lending protocols, and prediction markets. These models may be used to assess risk, predict market behavior, and optimize investment strategies.
- Conducting on-chain data analysis: Quantitative Researchers in Web3 analyze on-chain data from decentralized platforms to understand user behavior and network activity. They may use statistical techniques such as regression analysis and machine learning to analyze this data and identify patterns that can be used to inform investment strategies.
- Writing research reports: Quantitative Researchers in Web3 write reports summarizing their research findings and recommendations for investment strategies. These reports may be used by traders, portfolio managers, and other decision-makers within the organization.
- Collaborating with other teams: Quantitative Researchers in Web3 may work closely with other teams within the organization, such as developers, quants, and traders, to develop and implement investment strategies that leverage their research insights.