Model Risk Specialist
10 hours ago
Job Summary:
- We seek a skilled Model Risk Specialist to drive strategic elements of governance and compliance activities for AI and machine learning risk models.
- Develop and execute tactical plans for AI and ML risk management processes aligned with regulatory requirements.
- Collaborate with stakeholders and team members to ensure effective management of AI/ML risk management processes.
- Prepare content and facilitate key stakeholder meetings.
- Ensure requisite activities within the enterprise AI/ML Risk Management Standard occur.
- Identify heightened risks, controls, and value of prospective Al/ML use cases.
- Create and sustain a comprehensive Al/ML use intake process.
- Maintain the comprehensive inventory of Al/ML use cases, evidence of review and approval, and associated documentation.
- Review and challenge new Al/ML use cases.
- Execute control activities as articulated in the enterprise Al/ML strategy.
- Develop and deliver training content and socialization about AI/ML risk processes and controls.
You will join a global team of professionals with diverse experience from different sectors.
Requirements- A Bachelor's Degree or above in Financial Engineering, Financial Mathematics, Mathematics, Statistics or Computer Science major preferred.
- 6+ years of building, testing, implementing and validating models in a financial services technology company.
- Knowledge of SQL and Big Data technologies like Hadoop or similar.
- Experience developing pricing and risk models using Python, R or C++ is a plus.
- Experience in designing and implementing new model risk management programs or processes from the ground up.
- Excellent written and spoken communication skill.
- Knowledge of data management fundamentals and data storage principles.
- Strong analytical and quantitative skills to understand and validate models effectively.
- Ability to communicate across functional groups within the company, with Customers and Vendors, as well as Senior Management.
- Experience with big data: extraction, processing, filtering, and presenting large data quantities via AWS technologies, SQL, and data pipelines.
- Ability to manage through influence.
- Master's degree.
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