Quantitative Trading Analyst

DRW Holdings, LLC.; Greater London; On-site; GBP 50,000 - 70,000; Full time

Job summary

DRW Holdings, LLC. is seeking a Quantitative Trading Analyst to join their volatility-focused trading team. The ideal candidate should have 1–2 years of experience in trading or quantitative research. Responsibilities include analyzing trading strategies, developing quantitative models, and managing market trading algorithms.

The successful candidate will possess strong skills in Python, a solid academic background in a quantitative discipline, and an interest in financial markets. This role offers a unique opportunity to engage in multidisciplinary trading involving various asset classes.

Qualifications

• 1–2 years of experience in trading, quantitative analysis, or related role.
• Excellent quantitative and analytical problem-solving skills.
• Ability to work in a fast-paced, collaborative environment.

Responsibilities

• Analyze, improve and implement trading strategies.
• Develop and maintain quantitative models, analytics, and trading tools.
• Analyze large datasets to identify market opportunities.

Skills

Trading

Quantitative analysis

Problem-solving

Python

Data analysis

Education

Strong academic background in mathematics, physics, computer science, engineering

Tools

Python

SQL

R

C++

Job description

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are looking for a Quantitative Trading Analyst (QTA) to join a volatility-focused trading team. This role is ideal for candidates with 1–2 years of experience in trading, quantitative research, market making, or systematic strategies who are interested in applying quantitative thinking to volatility markets. Prior experience across a variety of asset classes is welcome — including equities, rates, credit and FX.

What you’ll do

• Analyze, improve and implement trading strategies
• Develop and maintain quantitative models, analytics, and trading tools
• Analyze large datasets to identify market opportunities, inefficiencies, and risk exposures
• Actively manage live market trading algorithms
• Provide liquidity in options via systematic algos and voice in IDB markets
• Conduct research into volatility dynamics, pricing, and market microstructure
• Collaborate with technology teams to improve trading infrastructure and automation
• Support new product and market expansion initiatives across asset classes

What we’re looking for

• 1–2 years of experience in trading, quantitative analysis, research, or a related role
• Strong academic background in mathematics, physics, computer science, engineering, or a similarly quantitative discipline
• Excellent quantitative and analytical problem-solving skills
• Strong understanding of probability, statistics, and market behavior
• Proficiency in Python; experience with SQL, R, or C++ is a plus
• Intellectual curiosity and a genuine interest in financial markets and volatility products
• Ability to work in a fast-paced, collaborative environment
• Strong communication skills and attention to detail
• Experience working with derivatives or volatility products
• Familiarity with options pricing, Greeks, or volatility surface analysis
• Experience handling large market datasets or building research pipelines

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