Systematic Equities Risk Manager

Overview

A leading global investment platform is seeking an experienced Risk Manager to partner with its expanding Systematic trading group. This role focuses on overseeing risk across systematic strategies, enhancing analytics, and working closely with portfolio managers and senior leadership across regions.

Key Responsibilities

• Perform ongoing monitoring and analysis of systematic portfolios, including both daily and intraday risk assessment.
• Build strong working relationships with quantitative portfolio managers and senior stakeholders globally
• Evaluate and enhance model development frameworks, including simulation techniques, backtesting standards, and implementation processes
• Improve manager evaluation frameworks with emphasis on performance attribution, macro sensitivities, thematic exposures, and market crowding dynamics
• Design and implement risk methodologies tailored to short-horizon systematic strategies; develop tools and dashboards for real-time monitoring
• Contribute to the broader risk infrastructure, reporting, and analytics used across the firm
• Engage with business leadership to support strategic initiatives and risk oversight
• Participate in regular risk forums, providing insights and recommendations on portfolio exposures and risk-adjusted returns
• Assess whether portfolio risks are appropriately compensated and aligned with investment objectives

Candidate Profile

• Advanced degree (Master’s or PhD) in a quantitative field such as Mathematics, Physics, Computer Science, or Financial Engineering
• Extensive experience (typically 10+ years) in quantitative finance within a risk, portfolio management, or trading capacity at a financial institution or investment firm
• Strong programming capabilities (e.g., Python, C++, or similar languages)
• Solid understanding of equity-based quantitative strategies, including statistical arbitrage approaches
• Familiarity with factor-based risk models and portfolio construction techniques
• Excellent communication skills, with the ability to interact effectively across technical and non-technical teams
• Strong analytical mindset with a hands-on, problem-solving approach
• High attention to detail, with a focus on data integrity, robustness of analysis, and clarity of outputs