You perform the validation of models and assess the model risk to confirm model appropriateness and capability for a designated portfolio.
You are responsible for providing effective challenge to the credit risk models during model development and communicating decisions regarding model use to the business to ensure transparency and understanding of models and model risks.
You assess the models’ capabilities, stress points and limitations; you assess the associated model risk and the controls in place to mitigate identified risks.
You will manage relationships with model developers, owners, and users, influencing and advising on model risk-related matters.
Recommends business priorities, advises on resource requirements, and develops roadmap for strategic execution.
Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation, and sustainment of initiatives.

Requirements

A MSc or PhD in quantitative fields such as statistics, applied mathematics, financial mathematics, data science, actuarial sciences, electrical engineering, or related fields.
A minimum of 7 years of experience in model development and/or validation within a financial institution, particularly in the credit risk area.
Experience in credit risk models, including Stress Testing & loss forecasting, AIRB and Adjudication/Account Management.
Proficiency in a programming language such as Python, R, and SAS (Python is preferred)
Proficiency in working with relational databases – SQL or Oracle
Working with Big data tools and Cloud platforms (AWS/Azure) is a plus.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

model validationmodel risk assessmentcredit risk modelsstress testingloss forecastingPythonRSASSQLOracle

Soft Skills

effective challengecommunicationrelationship managementinfluencingadvisingchange managementstakeholder managementplanningevaluationsustainment