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DRW

Quantitative Trading Analyst - Equity Options

London
Posted about 19 hours ago
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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 seeking a Quantitative Trading Analyst to join our European Equity Index Options desk. This role sits at the intersection of quantitative research, trading, and technology, supporting a high-performance options market-making business. You will work closely with traders, quantitative researchers, and software engineers to develop analytical tools, improve pricing models, analyze market dynamics, and optimize trading performance.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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This is an excellent opportunity for a highly analytical individual with strong quantitative and programming skills who is excited by fast-moving markets and enjoys solving challenging problems using data.

What You'll Do

  • Partner with traders to analyze market behavior, volatility dynamics, and trading performance across European equity index options.
  • Develop quantitative models and analytical tools to improve pricing, risk management, and execution.
  • Analyze large datasets to identify trading opportunities, market inefficiencies, and performance drivers.
  • Build dashboards and visualizations that provide actionable insights into desk performance and market conditions.
  • Design and maintain research pipelines for testing new trading ideas and strategies.
  • Monitor live trading metrics and investigate anomalies or unexpected market behavior.
  • Collaborate with software engineers to automate workflows and improve trading infrastructure.
  • Assist in the evaluation and deployment of new quantitative models into production.
  • Conduct post-trade analysis and contribute to continuous improvement of the desk's trading strategies.

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What We're Looking For

  • Bachelor's, Master's, or PhD in Mathematics, Statistics, Physics, Computer Science, Engineering, Economics, or a related quantitative discipline.
  • Familiarity with European equity index products or similar markets.
  • Strong programming skills in Python; experience with C++, Java, or other high-performance languages is a plus.
  • Knowledge of derivatives, options pricing, volatility modeling, or quantitative finance.
  • Solid understanding of probability, statistics, linear algebra, and optimization.
  • Experience working with large datasets and writing efficient data analysis code.
  • Strong problem-solving skills with exceptional attention to detail.
  • Excellent communication skills and the ability to explain quantitative concepts to both technical and non-technical colleagues.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

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Skills

Python
Quantitative Modeling
Options Pricing
Volatility Modeling
Data Analysis
Probability
Statistics
Linear Algebra
Optimization
C++
Java
Risk Management
European Equity Index Options
Quantitative Research
Financial Engineering
Market Dynamics Analysis

Location

London, England, United Kingdom

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