Model/Analysis/Validation Officer
About The Position
Apply econometric modeling techniques to design predictive models. Perform data cleaning and preprocessing using analytical tools such as SAS, SQL, and Python for statistical model development. Prepare model development data and perform segmentation to segregate populations based on different characteristics and business requirements for statistical models. Analyze macro-level economic data such as GDP, unemployment rates, and interest rates and perform macro transformations to capture fluctuations in economic environment. Apply advanced quantitative and qualitative methods to handle large scale data and utilize tools such as Statistical Analysis Software programming, Python, and Structured Query Language to extract, transform, and analyze data trends and make recommendations addressing business needs. Evaluate model accuracy in terms of quarterly error rates comparing actual with predicted values to assess model performance and reliability over short, medium, and long terms. Collaborate cross functionality with partner teams including Business, Monitoring, Validation, and Implementation to deliver impactful insights and ensure cohesive and timely execution of all regulatory deliverables. Manage model risk including Model Development Documentation, tracking quarterly model performance to identify the root cause of performance breaches based on Model Risk Management guidelines to meet Global Risk Management policies and model governance policy. Automate data extraction and data preprocessing tasks, perform ad hoc data analyses, design and maintain complex data manipulation processes and provide documentation and presentations. Support evolving regulatory and internal stress testing cases such as Global Standard Stress Testing, Rapid Stress Testing and Stress Loss Limits.
Responsibilities
- Apply econometric modeling techniques to design predictive models.
- Perform data cleaning and preprocessing using analytical tools such as SAS, SQL, and Python for statistical model development.
- Prepare model development data and perform segmentation to segregate populations based on different characteristics and business requirements for statistical models.
- Analyze macro-level economic data such as GDP, unemployment rates, and interest rates and perform macro transformations to capture fluctuations in economic environment.
- Apply advanced quantitative and qualitative methods to handle large scale data and utilize tools such as Statistical Analysis Software programming, Python, and Structured Query Language to extract, transform, and analyze data trends and make recommendations addressing business needs.
- Evaluate model accuracy in terms of quarterly error rates comparing actual with predicted values to assess model performance and reliability over short, medium, and long terms.
- Collaborate cross functionality with partner teams including Business, Monitoring, Validation, and Implementation to deliver impactful insights and ensure cohesive and timely execution of all regulatory deliverables.
- Manage model risk including Model Development Documentation, tracking quarterly model performance to identify the root cause of performance breaches based on Model Risk Management guidelines to meet Global Risk Management policies and model governance policy.
- Automate data extraction and data preprocessing tasks, perform ad hoc data analyses, design and maintain complex data manipulation processes and provide documentation and presentations.
- Support evolving regulatory and internal stress testing cases such as Global Standard Stress Testing, Rapid Stress Testing and Stress Loss Limits.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
