Ameriprise Financial is looking to hire a Quantitative Model Validator to lead and contribute to model validation efforts, ensuring compliance with regulatory guidelines and internal policies, and assessing model risks and performance.
Requirements
- Financial and Market Risk, Investment, Hedging, Statistical/Econometrics and Stochastic Processes, Pricing, and Valuation models
- Good understanding of financial products, modeling processes and limitations
- Experience in model validation, testing, development and implementation
- Strong background in modeling in the investment space
- Proficiency in programming/database languages (Python, C++, VBA, SQL, R, SAS, AWS)
- Familiar with AI/ML or Insurance/Actuarial Modeling
Responsibilities
- Support and lead model validations based on regulatory guidelines and internal policies and procedures
- Evaluate model assumptions, data quality, methodology, and performance
- Prepare validation reports with testing, benchmarking, and conclusions
- Report on model findings and assess remediations
- Conduct annual model reviews and document results
- Review ongoing model monitoring and identify potential risks
- Communicate findings and recommendations to model stakeholders
Other
- Treat others with respect, uphold organizational values, and take ownership of actions
- Collaborate with business teams to understand model use and applications
- Has a proven track record with a minimum of four years of experience with Masters (or two years with PhD) in model risk management in banking or insurance.
- PhD or master’s degree in mathematics, Physics, Engineering, Statistics, Econometrics or a relevant quantitative field
- Excellent communication skills, including presenting to senior management and regulators
- Experience leading organizational change and influencing stakeholders
- Strong collaboration, organization, and accountability
- Proven leadership and mentoring experience
