Balyasny Asset Management (BAM) is a diversified global investment firm founded in 2001 by Dmitry Balyasny, Scott Schroeder, and Taylor O'Malley. With over $28 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.
POSITION SUMMARY
- Primary role is to assist in the optimization of the APAC equity financing book
- Take a data driven approach to creating reports & tools to identify, allocate & execute financing opportunities within the prime brokerage network
- Data analysis will include cleansing & structuring from multiple sources / applying visualization tools and techniques
- Monitor/control the daily locate process, source/process borrow
- Review revenue, spread and exception reports.
- Provide market color to Portfolio Managers, including short interest colour, corporate action detail and regulatory updates
- Form strong relationships with prime financing and equity brokers across the street
- Work closely with all internal groups, particularly execution trading and operations
- The candidate will work on projects across the Treasury suite and therefore have exposure to non-equity financing functions such as cash and liquidity management
QUALIFICATIONS & REQUIREMENTS
- Preferred Experience: 1-3 years in equity finance, delta one, or stock loan related role
- Strong Python (data manipulation and cleaning using libraries such as Pandas, Polars and Matplotlib)
- SQL (comfortable designing table schemas, performing CRUD)
- Code management (like GitHub or GitLab)
- Experience with visualisation tools (Tableau, PowerBI or Qlik Sense)
- Familiarity with cloud-based infrastructure/orchestration (AWS, Apache Airflow, Docker, Kubernetes, Jenkins)
- A strong interest in developing AI driven output preferred, including large language models
- Problem solving skills and ability to identify and implement appropriate solutions & technologies
- Desire to drive the group/platform forward, in terms of technology and product for commercially impactful outcomes
- Strong team and work ethic, strong communicator
- Basic knowledge of multiple asset classes (equities, options, futures, fx)
- Computing academics preferred