My client, a leading Asset Management firm, is seeking a mid-level Quantitative Risk Analyst with a focus on Credit to join its Risk & Quantitative Research (RQR) team. This team plays a key role in risk management, portfolio construction, and performance attribution to enhance risk-adjusted returns. Key Responsibilities: Analyze portfolios and strategies to identify risk and performance drivers. Work with portfolio managers and senior risk managers on risk limit usage, tail exposure, and forward-looking risk events. Develop and improve stress testing, VaR models, and risk frameworks for macro portfolios. Conduct quantitative research to enhance risk management tools and analytics. Collaborate with technology teams to implement and refine risk models. Key Requirements: Master’s degree preferred (quantitative finance, statistics, math, engineering, or computer science). 3+ years of experience in risk, trading, or quantitative research, with a strong focus on rates. Expertise in pricing models, risk sensitivities, and portfolio risk aggregation. Proficiency in Python, SQL, MATLAB, or R and experience working with large data sets. Strong communication skills and ability to engage with portfolio managers. Ability to multitask and work effectively in a fast-paced environment. This is a fantastic opportunity for a quantitative risk professional to contribute to a high-performing investment team.