Senior Quantitative Analyst, Model Risk

Senior Quantitative Analyst, Model Risk Location: New York, NY buckleighwilliams has partnered with a leading insurance and financial services firm to identify their new Senior Quantitative Analyst. This is an exciting opportunity to join a dynamic team focused on model risk management and the continuous improvement of financial and machine-learning models. Role Overview: The Senior Quantitative Analyst will be a key member of the Model Risk team, responsible for executing independent validations of various financial models. This role ensures the integrity and reliability of the company's financial models, supporting their alignment with industry standards and regulatory guidelines. Key Responsibilities: Model Validation: Conduct independent validations of models based on internal policies, regulatory guidelines, and best practices. Evaluation and Analysis: Assess conceptual soundness, methodology, assumptions, data relevance, and outcomes of models. Reporting: Prepare comprehensive validation reports, communicate findings and recommendations, and present to senior management and the Model Risk Committee. Benchmarking: Develop and utilize benchmark and test models for validation purposes. Monitoring: Track validation results and evaluate the effectiveness of remediation actions. Collaboration: Work closely with Model Risk Governance to ensure adherence to model governance and standards. Required Experience and Skills: Education: Master's degree in Mathematics, Statistics, Operations Research, Economics, or a related quantitative field plus three (3) years of relevant experience. Alternatively, a Bachelor's degree in the aforementioned fields plus five (5) years of relevant experience. Experience: Minimum of 3 years in validating asset management, financial, capital, stress testing, and machine-learning models within finance or insurance industries. Proven track record in assessing model risk and identifying emerging risks. Proficiency in model testing and building challenger models using R, Python, MATLAB, and C++. Expertise in model calibration assessment, performance assessment, sensitivity and stability testing, back testing, and benchmarking. Familiarity with model documentation standards as per the Federal Reserve System's SR 11-7 guidance. Desirable Traits: Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Detail-oriented with a rigorous approach to validation and analysis. Ability to work collaboratively and independently in a dynamic environment. Benefits and Perks: Competitive salary with comprehensive benefits. Flexible hybrid work environment (3 days per week in office). Generous paid time off, including vacation, personal days, and sick days. Robust 401(k) plan with company match. Employee referral program and professional development opportunities. About buckleighwilliams: buckleighwilliams is a specialist recruitment business focused on delivering highly experienced and reputable contractors and permanent staff to some of the world's largest organisations. We operate as an employment agency and employment business. No terminology in this advert is intended to discriminate on the grounds of age, and we confirm that we are happy to accept applications from persons of any age for this role. By applying for this role, you accept our Terms and Privacy Policy, which can be found on our website. We take the security of personal data very seriously, and by applying for this role, you consent to us holding your personal data on our database (CRM) for the purpose of finding jobs that match your skill set. If we become aware of any other opportunities that could be of interest to you, we may let you know by phone, email, or SMS.

Created: 2024-11-05