AVP--Data Science

Key Skills

Java Programming, Finance, Risk Analytics, Python Programming, SQL, Machine learning techniques, MATLAB Programming, Data Modeling, R Programming, SAS, Data Analysis

Job Description

• Work closely with stakeholders such as line of business model governance and Corporate Model Risk (CMoR) governance to risk rank quantitative and qualitative F&I models according to F&I CFMO policy/procedure and model risk ranking methodology, and provide credible challenges to ensure risk rankings reflect inherent model risks.
• Work closely with stakeholders to evaluate completeness of F&I models in the model inventory. Provide credible challenges for models, especially the ones with sizable model risk, but not included in the inventory.
• Maintain and enhance F&I model risk oversight methodology and processes to ensure compliance with regulatory expectations, policies, and other standards specific to the function. The oversight methodologies and processes include but not limited to F&I model identification guidelines, risk ranking methodology and template, performance monitoring guidelines, model development guidelines. Review and streamline F&I model risk oversight process when necessary.
• Provide guideline in developing performance monitoring metrics, triggering thresholds and action plans for high risk rank F&I models.
• Review periodic model performance monitoring reports and provide credible challenges to model owners on performance deficiencies.
• Provide credible challenges to model usage which includes model limitations/restrictions, input assumptions, robustness of output and incorrect or unapproved use of models.
• Review and approve model changes and documented exceptions.
• Review model development documents, validation reports, and validation findings. Support model validation team as a subject matter expert if necessary.
• Work closely with stakeholders to promote and ensure compliance with regulatory expectations for model risk management.
• Assist in resolving audit and regulatory issues related to F&I model risks.

Required Qualifications

• 8+ years of strong experience and knowledge with quantitative modeling tools such as Python, R, Matlab, and SAS. Good understanding of statistics and analytical mindset. Knowledge of capital markets and exposure to investment banking will be desirable.

Desired Qualifications

• Excellent verbal, written, and interpersonal communication skills
• Ability to articulate complex concepts in a clear manner
• Strong analytical skills with high attention to detail and accuracy
• Advanced Microsoft Office skills
• Ability to work independently
• Ability to organize and manage multiple priorities

Other Desired Qualifications

• 8+ years experience and knowledge with quantitative modeling tools such as Python, R, Matlab, and SAS.
• 8+ years in wealth and investment management industry or related experience in one or a combination of the following: investment research, investment risk management, portfolio management, capital markets, financial modeling and wealth management
• Master’s Degree or higher in Finance, Investment, Statistics, Economics, or equivalent work experience.
• Experience with investment management models as a model developer or validator, or in a model oversight role.
• Experience and knowledge of statistical modeling and machine learning techniques, such as regression analysis, time series analysis, multivariate analysis, and other supervised and unsupervised learning.
• Hands-on skills and knowledge of investment tools and platforms such as FactSet, MSCI/Barra, Bloomberg, Axioma, Morningstar Direct or similar is preferred.
• Financial Risk Management Certificate (FRM) or Chartered Financial Analyst (CFA) designation or demonstrated progress toward the designation.
• Excellent interpersonal, influencing, and communications skills with an ability to interact effectively with stakeholders across the organization, which includes virtual, matrixed leadership experience.