Bracebridge Capital, LLC is a leading hedge fund manager with over $12 billion of net assets under management. The firm pursues investment strategies primarily within the global fixed income markets with the objectives of capital preservation and absolute return without significant correlation to equity, interest rate and foreign exchange markets. Established in 1994, Bracebridge manages private investment funds that serve endowments, foundations, pension funds and other institutional and high-net-worth investors.

Approximately 150 employees operate from our office located in Boston’s historic Back Bay. The entrepreneurial and collaborative culture at Bracebridge rewards and supports motivated, dedicated, enthusiastic and intellectually curious individuals. We believe our firm’s greatest asset is the people who work here.

The Quantitative Analyst will report to Director of R&D and will work directly with the senior members of the Quantitative Research Group. The successful candidate will develop an in-depth understanding of the firm’s asset pricing models, quantitative data acquisition system, portfolio and risk management report generation, and take ownership of many aspects of the firm’s daily data acquisition and risk system processes. The emphasis is on practical, hands-on quantitative research and development in collaborative, fast-paced environment.

Responsibilities:

Develop in-depth understanding of the firm’s analytics library and related processes and applications. These include: database layout; C++ objects that represent market data, financial instruments and pricing models; overnight and intraday processes which compute various analytics; and reports that present the results of these calculations to Portfolio Managers and other users.
Collaborate with other members of the team, and with Trading Floor personnel to develop advanced analytical tools to be used in the firm’s portfolio and risk management processes.
Become thoroughly familiar with a suite of applications and processes which collect, validate, normalize, store and monitor the various structured and unstructured financial market data from internal and external sources used in pricing the fund’s portfolio. Participate in daily monitoring of these processes and work with junior members of the group to resolve issues with data and/or analytics.

Qualifications:

MS in Computational Finance/Financial Mathematics/Financial Engineering
1+ years of quantitative finance experience. Familiarity with fixed-income instruments across interest rate, credit, correlation and ABS space
Solid knowledge of object-oriented concepts and C++; familiarity with Python, C#, SQL, Bloomberg, Postgres or SQL Server databases
Experience in a multi-programmer environment is a plus
Proven ability to produce quality work under time pressure, and to work collaboratively with others
Intellectual curiosity and an eagerness to learn