Graduate Quant Trader: Data-Driven Equity Strategies

dvtrading; New York (NY); On-site; USD 80,000 - 100,000; Full time

Job summary

DV Trading is seeking a Quantitative Trader Graduate to join the DV Equities desk. You will work with senior traders and researchers to develop, refine, and monitor data-driven trading models across global equity markets.

The role emphasizes learning proprietary methodologies and hands-on experience in a fast-paced environment. Ideal candidates are pursuing a Bachelor's, Master's, or PhD in a quantitative field with strong Python skills, plus preference for SQL, statistics, or C++.

Qualifications

• Bachelor's, Master's, or PhD in a quantitative field (Math, Stats, Economics, CS, Physics, Eng) with expected graduation by 2027.
• Strong Python proficiency; SQL, statistics, or C++ experience preferred.
• Solid foundation in math, probability, and statistics.
• Interest in financial markets, algorithmic trading, and market microstructure.

Responsibilities

• Learn proprietary trading methodologies and quantitative systems under senior traders.
• Execute and manage risk for systematic trading strategies.
• Build and improve trading models using historical market and orderbook data.
• Analyze large datasets to identify patterns and alpha opportunities.
• Collaborate with trading desk and internal teams; monitor live performance.

Skills

Python

SQL

C++

Statistics

Mathematics

Education

Bachelor's/Master's/PhD

Job description

DV Trading is seeking a Quantitative Trader Graduate to join the DV Equities desk. You will work with senior traders and researchers to develop, refine, and monitor data-driven trading models across global equity markets.

The role emphasizes learning proprietary methodologies and hands-on experience in a fast-paced environment. Ideal candidates are pursuing a Bachelor's, Master's, or PhD in a quantitative field with strong Python skills, plus preference for SQL, statistics, or C++.