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.
Responsibilities:
- Build out Barra-based proprietary portfolio-level risk and optimization infrastructure.
- Key features include risk modeling, exposure measurement, risk monitoring infrastructure for systematic equities trading business line.
- Build attribution framework for systematic trading signals.
- Build data pipelines required for extraction/transformation/loading of data from Barra, Bloomberg and other key data sources using SQL and other big data analysis techniques.
- Manage the ongoing maintenance/expansion of risk tools created by supervising an (eventual) team of Junior Equity Developers and Data Scientists.
Qualifications/Skills:
- Minimum 5 years’ experience of equity-based software development, ideally at a multi-manager hedge fund or investment bank.
- Broad and deep understanding of equities markets, factor models and portfolio construction; experience working with Barra factor model data.
- Expert-level programming skillset in one or more languages (Python, SQL, etc.).
- Experience with Mosek or similar optimizer