Risk Manager - Structured Products Focused

About the role

The Risk team at Soros Fund Management is an independent, analytically driven function that plays a central and impactful role in the firm’s investment process. The team partners closely with the investment team while maintaining an objective mandate to ensure that risk-taking is intentional and well understood.

Responsibilities

• Provide independent, front-office aligned risk oversight across assigned portfolios, ensuring a holistic view of exposures at the trade, portfolio and fund levels.
• Identify, analyze, and clearly communicate key risk themes, drivers of P&L, and changes in portfolio risk profiles.
• Establish and monitor risk limits and guidelines, and partner with Portfolio Managers and Risk leadership to assess, escalate, and determine appropriate actions when exceptions arise.
• Design, develop, and continuously refine risk methodologies.
• Build and maintain pricing and risk models for complex transactions and support the valuation process through independent analysis and challenge where appropriate.
• Engage proactively with investment teams on the structuring, sizing, and risk assessment of new transactions and strategies.
• Provide actionable, data-driven analytical insights to Portfolio Managers on key risk factors, return drivers, correlations, and tail risks.
• Advance the quantitative framework used to support portfolio construction, diversification, and asset allocation decisions across strategies.
• Collaborate closely with Technology and Quantitative Data Strategy teams to productionize models, analytics, and reporting processes with an aim to improving scalability, robustness, and data quality.

Requirements

• 7-10 years of relevant experience in market risk, portfolio management, structuring, trading, or research.
• Direct hands-on experience in Securitized Products (Agency / Non-Agency, CMBS, CLO etc.) including comprehensive knowledge of models, markets and trading strategies.
• Degree in an analytical subject, understanding of statistics, pricing models and risk methodology.
• Effective communicator with ability to build rapport across investment professionals and senior management and communicate quantitative concepts clearly and concisely.
• High level of intellectual curiosity, with a strong drive to ask probing questions, explore new ideas, and continuously deepen understanding.
• Creative, hands-on, problem solver.
• Thrives in a team-oriented environment.
• Solid grounding in quantitative finance and statistics with experience in analytical programming tools (ideally Python and SQL).
• Knowledge of relevant systems (E.g., Intex, YieldBook, Bloomberg).

Qualifications

• Smart risk-taking
• Owner’s Mindset
• Teamwork
• Humility
• Integrity

Skills

• Quantitative Finance
• Statistical Analysis
• Python Programming
• SQL Programming
• Securitized Products Knowledge

Benefits

The base salary of this role is between $200,000-250,000. In addition to a base salary, the successful candidate will also be eligible to receive a discretionary year-end bonus.