Assess the model's adequacy and appropriateness for stated objectives and assumptions, general practice, and company policies.
Ensure submitted models from 1st line are mathematically sound, following industry standard, implemented correctly, and with adequate performance.
Perform independent research and develop independent benchmark models where needed.
Assess Potential Model Risks.
Evaluate potential model risks related to embedded assumptions vs target applications, and limitations of model implementation.
Recommend risk mitigation measures where needed.
Document model validation outcome and communicate findings to stakeholders and model risk leaders.
Ensure business units understand their obligations under the Model Risk Policy such as providing adequate documentation to enable independent validation and having processes and controls to govern the entire model lifecycle.
Participate annual model materiality refresh and inventory attestation process.
Provide mentorship to junior staff.
Participate in Ad-Hoc Projects as needed.
Requirements
Master's or PhD degree in a quantitative discipline (Math, Finance, Economics, Physics, Engineering, etc.)
3+ years of experience in financial mathematics modeling with expertise in optimization and numerical techniques.
Proficiency in quantitative modeling.
Knowledge of Global Wealth Management products and services, such as portfolio construction, digital investment advisory platforms, structured products, and valuation methodologies, is highly desirable.
Programming skills in VBA, C++, SQL, Excel, MATLAB, or Python.
Strong analytical, problem-solving, communication, and documentation skills.
Proven organizational, team-building, and relationship-building abilities across business functions, team player.