Job
Description
Quantitative Risk Management Officer - Model Risk Management Undertake reviews and analysis across the portfolio for Market Risk. Undertake development or validation on classic quantitative models (investment risk, VaR, product pricing, etc) Key Responsibilities and Duties Market Risk Model Management Model Development and Validation Model Risk Assessment and Governance Educational Requirements University (Degree) Preferred Work Experience 3+ Years Required; 5+ Years Preferred Physical Requirements Physical Requirements: Sedentary Work Career Level 7IC Job Posting Title: Associate - Financial Risk Management - Quants This role will review and validates computer models to and otherwise supports the Model Risk Management (MRM) Program in mitigation of model risk across the TIAA enterprise. Key Responsibilities and Duties The role will be responsible for conducting independent review and validation of a wide range of computer models of all types used in business areas across the TIAA enterprise. The role will Develop and execute validation plans, including defining validation objectives, scope, methodologies, and timelines. Perform thorough model testing and validation procedures, including back-testing, sensitivity analysis, stress testing, scenario analysis, and outcomes analysis. Document validation findings, including strengths, weaknesses, limitations, and recommendations for model enhancements or remediation actions. Communicate validation results and recommendations to key stakeholders, including model owners, senior management, risk committees, and regulatory authorities. Collaborate with model developers, quantitative analysts, risk managers, and other stakeholders to address validation findings and implement model improvements. Stay abreast of regulatory developments, industry trends, and best practices related to model risk management and validation Educational Requirements Bachelors Degree in a quantitative subject Work Experience 4+ Years Required. Physical Requirements Physical Requirements: Sedentary Work Career Level 7IC Required Qualifications: Bachelors Degree in a quantitative subject. Broad experience with financial services, markets, and instruments. Programming experience in a variety of languages and platforms. Experience in testing computer programs and models. Quantitative acumen and problem-solving ability. Preferred Qualifications: Master s Degree or PhD in a quantitative subject. Hands-on experience with artificial intelligence programming and platforms, both traditional machine learning and generative AI. Related Skills Advanced Mathematics, Communication, Critical Thinking, Data Analysis, Financial Acumen, Financial Modeling, Market/Industry Dynamics, Model Validation, Prioritizes Effectively, Problem Solving, Programming, Quantitative Analysis, Statistics Company Overview TIAA Global Capabilities was established in 2016 with a mission to tap into a vast pool of talent, reduce risk by insourcing key platforms and processes, as well as contribute to innovation with a focus on enhancing our technology stack. TIAA Global Capabilities is focused on building a scalable and sustainable organization , with a focus on technology , operations and expanding into the shared services business space. We are an Equal Opportunity Employer. TIAA does not discriminate against any candidate or employee on the basis of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other legally protected status . Accessibility Support TIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities. If you are a U.S. For Applicants of TIAA, Nuveen and Affiliates residing in US (other than California), click here . For Applicants of TIAA, Nuveen and Affiliates residing in California, please click here . For Applicants of TIAA Global Capabilities, click here . For Applicants of Nuveen residing in Europe and APAC, please click here .
