Systematic 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 ResponsibilitiesPerform 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 globallyEvaluate and enhance model development frameworks, including simulation techniques, backtesting standards, and implementation processesImprove manager evaluation frameworks with emphasis on performance attribution, macro sensitivities, thematic exposures, and market crowding dynamicsDesign and implement risk methodologies tailored to short-horizon systematic strategies; develop tools and dashboards for real-time monitoringContribute to the broader risk infrastructure, reporting, and analytics used across the firmEngage with business leadership to support strategic initiatives and risk oversightParticipate in regular risk forums, providing insights and recommendations on portfolio exposures and risk-adjusted returnsAssess whether portfolio risks are appropriately compensated and aligned with investment objectivesCandidate ProfileAdvanced degree (Master’s or PhD) in a quantitative field such as Mathematics, Physics, Computer Science, or Financial EngineeringExtensive experience (typically 10+ years) in quantitative finance within a risk, portfolio management, or trading capacity at a financial institution or investment firmStrong programming capabilities (e.g., Python, C++, or similar languages)Solid understanding of equity-based quantitative strategies, including statistical arbitrage approachesFamiliarity with factor-based risk models and portfolio construction techniquesExcellent communication skills, with the ability to interact effectively across technical and non-technical teamsStrong analytical mindset with a hands-on, problem-solving approachHigh attention to detail, with a focus on data integrity, robustness of analysis, and clarity of outputs