Quantitative Researcher, Fixed Income Analytics
DRW is a diversified, technology-led principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in markets around the world. As the markets have evolved over the past 25 years, so has DRW – growing to include real estate, cryptocurrencies, venture capital and several industry acquisitions. With more than 800 employees at our Chicago headquarters and six global offices, we work together to solve interesting problems and capture opportunities. It’s a place of high expectations, deep curiosity, and constant collaboration, with some of the smartest, most passionate people you will meet.
DRW is looking for an exceptional Quantitative Researcher with an expertise in fixed income, primarily focused on interest rate products, to join a team of highly talented engineers tasked with building a proprietary fixed income analytics platform. Your role will focus on all areas of quantitative research including the research, development and testing of valuation models while working closely with the software engineers responsible for the analytics platform. Your work will be used throughout the organization on a daily basis by traders, risk managers, and back office analysts.
To qualify for this role, you:
- have 3+ years experience researching and developing models for pricing interest rate derivatives products such as swaps and options and performing bond relative value analysis
- have 3+ years experience implementing financial models in C#, C++, or Java
- can demonstrate expertise in stochastic calculus, probability theory, and other related fields of math
- have an advanced degree in a quantitative field such as math, physics, or financial engineering
- have strong communication and collaboration skills with the ability to work within a multi-disciplinary team that includes software engineers, quantitative researchers, and traders.
Bonus points if you have:
- experience leading research initiatives/projects with limited oversight
- experience training less quantitative personnel in topics such as fixed income analytics
- experience working with large data sets provided in relational or key-value databases.
- created interactive tools built on top of the analytics you’ve provided