Quantitative Trader (Multi-Asset - London)
Skills
About the role
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 seeking a Quantitative Trader with 1–3 years of experience to help build and scale a systematic trading business. This role combines quantitative research, strategy development and live trading. The position offers meaningful ownership, direct impact on trading performance, and a path to increased risk-taking responsibility.
Job Responsibilities:
Develop, implement, and optimize systematic trading strategies
Conduct quantitative research using statistical and/or machine learning techniques
Analyze large datasets to identify alpha signals and trading opportunities
Collaborate with engineering to improve trading infrastructure and execution
Monitor live strategies, manage risk, and adjust models in real time
Evaluate performance and continuously refine strategies based on results
Contribute to building a scalable trading platform and process
Requirements:
1–3 years of experience in quantitative trading, research, or a related field
Strong programming skills (Python required; C++/Java a plus)
Solid understanding of market structure and execution
Experience with statistical modeling, time series analysis, or machine learning
Strong analytical and problem-solving skills with high attention to detail
Ability to operate effectively in a fast-paced, performance-driven environment
Active SIE and Series 57 licenses preferred, but not required.
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