Senior Model Risk Manager - Asset Management

A leading asset management firm is hiring a Senior Model Risk Manager who wants to help shape this growing model risk function. They are looking for someone who wants to lead this growth and buildout. The hiring team is looking for someone who will be both hands‑on thought leader who will be instrumental in building and leading this function. This position will involve building close relationships with portfolio managers, quants, developers, and strategists in a highly collaborative environment. Because this is a technical and hands‑on role, candidates need strong quantitative skills and experience in model building and model validation. Candidates need deep experience in investment models across major asset classes, covering portfolio construction, signaling, risk management, trading, asset allocation, and performance measurements. This opportunity is ideal for someone who wants to contribute from the ground up, remain hands‑on in the work, and serve as a mentor as the firm continues to grow the team. As a senior leader, you will be responsible for communicating complex findings to both technical teams and senior stakeholders, while enhancing policies, standards, and end‑to‑end model lifecycle practices. This is an amazing opportunity for someone in an established model risk function to build out a function from scratch - at large institution this opportunity rarely becomes available, so if you want to be a thought leader and have direct impact, this is a unique opportunity to do so. The firm places a strong emphasis on employee well‑being, offering a positive, people‑first environment with competitive compensation and supportive benefits. Requirements 7+ years of relevant work experience at an Asset Management firm, or the Asset Management arm of a tier 1 bank Experience developing risk and pricing models and asset allocation models across asset classes Strong stakeholder management and communication skills Deep experience with investment management models Advanced Degree in Statistics, Mathematics, Quantitative finance, or related quantitative discipline Strong coding skills in Python and SQL