Description

Balyasny Asset Management (BAM) is a diversified global investment firm founded in 2001 by Dmitry Balyasny, Scott Schroeder, and Taylor O'Malley. With over $32 billion in assets under management, BAM employs more than 2,000 people across 23 offices in the U.S. and Canada, Europe, the Middle East, and Asia. The firm's investment teams span five strategies, including Equities Long/Short, Fixed Income & Macro, Commodities, Multi-Asset Arbitrage, and Systematic. Balyasny's mission is to deliver to its investors absolute, uncorrelated returns in all market environments.

We are looking for a Risk Manager to support our growing global Multi Asset Arbitrage business:

• Conduct daily analysis on portfolios in equity, corporate credit, and equity derivatives asset classes. Develop understanding around thematic and fundamental investments across multiple strategies.
• Improve methodologies, metrics, and reporting for risk managing Multi Asset Arbitrage portfolios; build monitoring tools to share with PMs.
• Provide input for daily Risk Worksessions and weekly Global Risk committee discussions.
• Contribute to BAM's risk analytics, processes and reporting within the Multi Asset Arbitrage business. Perform ad-hoc risk analysis for other portfolios across the firm
• Report to Co-heads of Systematic and Event Risk

Requirements:

• Asset class experience in Credit strategies including Convertible Arbitrage
• Practical strategy experience in event driven equity strategies (e.g. merger arbitrage, index rebalance, spin-off / corporate restructuring trades)
• Strong academic background in a quantitative area e.g. math, physics, economics or finance.
• 7 or more years' experience in finance roles, either as a risk manager, quantitative researcher, analyst in a bank or hedge fund. Would entertain former traders / portfolio managers looking to transition their careers.
• Strong communication skills. The role involves constant dialogue with all parts of the organization
• Intermediate or better programming experience in any of Python/C++/C#/C/Java.
• Strong analytical skills. Creative, motivated, hard-working, and strong all-round interest in financial markets. Practical approach to problem solving.
• Attention to detail - takes ownership of projects, strong focus on data quality, correctness, and intuitiveness of output.

Nice to have:

• Practical experience in Equity Derivatives strategies (e.g. dispersion, index vol relative value)
• Knowledge of RiskMetrics
• Programming experience with SQL or other databases