DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 25 years, so has DRW – maximizing opportunities to include real estate, cryptoassets and venture capital. With nearly 900 employees at our Chicago headquarters and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration.
You will join a quantitative trading team managing systematic equity strategies. The team focuses on non-latency sensitive investment opportunities across geographies. The team is responsible for the complete lifecycle of quantitative investment process; research, development, and trading of systematic strategies. The team strongly emphasizes cutting-edge innovative scientific research, and is looking to add an individual who is enthusiastic about contributing within a team environment.
The main responsibility of the role will be to research, design and implement new quantitative trading strategies. This will entail generating alphas from a variety of traditional and alternative datasets using rigorous statistical methods. To be successful in this role, the ideal candidate will need to build a deep understanding of the underlying datasets and be able to apply the latest scientific algorithms for statistical model development. The candidate will use the team’s custom research infrastructure for simulation, back-testing, and validation of the proposed models.
The ideal candidate will be excited about working in a collaborative team environment, with an emphasis on team performance. We also require the following:
- MS/PhD in a technical discipline with a focus on Financial Mathematics, Statistics, Artificial Intelligence or related fields
- 5+ years’ experience in quantitative investment research in Medium Frequency Equity Trading and/or Equity Markets is required
- Excellent written and verbal communication skills to report research results/methodologies required
- Research publications focused on equities trading, or articles in top-tier Journals focusing on any of the above topics is a plus
- Strong programming skills with the ability to explore large datasets required
- Exposure to High-Performance Computing and/or Natural Language Processing is a plus
DRW was founded by Don Wilson, who got his start trading on the floor of the Chicago Mercantile Exchange in the late 1980s. Every trader on the floor had a three letter acronym for identification—Don chose his initials, DRW, and the name stuck. Over the past 25 years, DRW has expanded globally while staying true to what has always set us apart…our ability to identify and capture opportunities by leveraging technology, research and risk management. Our Approach We characterize our trading activity as following three general approaches — Liquidity providing: making markets, buying and selling products every day, with execution on a trading floor, over the phone and electronically Risk taking: doing our homework, formulating a view and putting on a position. Some positions are held for a few days, some for a few months or even years. Latency sensitive: combining research and risk management with superior technology and execution Trading in any asset class might include just one of these or may bring together all three; it all depends on what we see as the right strategy in that market. Our knowledge of the markets, pricing and modeling skills, risk management, and leading technology work together to create liquidity, improve market efficiency, and capture opportunities. Our Culture DRW combines the best of both worlds: the opportunity and spirit of a startup and the stability of an established, experienced firm. Our employees work hard to solve interesting problems, and their results are rewarded. We value continuous learning—from our outcomes, from the environment and from each other. It’s a place of high expectations, deep curiosity, and constant collaboration, with some of the smartest, most passionate people you’ll meet.