The board
- Where
- Chicago
- Posted
- Jan 23
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.
What you'd do
- Provide real-time analysis on relevant corporate events, distressed scenarios, capital structure dislocations, and other unique situations
- Work with traders to generate trades around the research process output
- Maintain financial models and valuation scenarios to analyse companies’ performance
- Monitor and build probability distributions for upcoming events to anticipate stock performance and volatility
- Develop catalyst-driven theses around new and existing corporate actions
- Research and propose new strategies adjacent to the desk’s existing playbook
- Work with Software Engineers to develop automated web scrapers and other data analytics tools
- Manage external relationships with sell side research desks, data vendors, and brokers
- Engage with the DRW hiring process in order to help build out the team
What they want
- Strong understanding of financial markets and the impact of events on company valuations
- Extreme attention to detail and accuracy
- Strong understanding of descriptive statistics
- Coding capability in Python, R, Matlab or similar statistical language
- Ability to synthesize qualitative and sometimes messy quantitative information, from often disparate and incomplete sources
- Experience working with large data sets
- Understanding of options pricing and greeks
- Confident communicator