Apply📍 California, New York, New Jersey
🔍 Financial services, Model Risk Management
- 3-7 Year background in Analytics / AI / Model Risk Management (MRM), Model Governance, and/or Model Development.
- Experience in Model Risk Management activities including model documentation and validation.
- Proven leadership skills in supporting and maintaining solid, high-value customer relationships.
- Excellent communication, interpersonal, and problem-solving abilities.
- Strong analytical skills and a data-driven mindset.
- Familiarity with Python/R, Jupyter Notebooks, ZenDesk, & Notion is preferred.
- Experience with customer-facing content development via MS PowerPoint / Google Slides is required.
- Train clients on the MRM platform and provide ongoing education on model risk management topics.
- Collaborate with clients to understand their model usage and identify potential risk areas.
- Review and analyze client models to assess conceptual soundness, methodology, data quality, and performance metrics.
- Clearly explain complex model risks and their implications to clients, including senior management.
- Ensure client model usage aligns with relevant regulatory requirements and internal model governance policies.
- Collaborate with the model validation team to interpret results and communicate key findings to clients.
- Establish strong relationships with clients, acting as a trusted advisor on model risk management.
- Deliver training sessions to clients on best practices for model usage, risk identification, and model governance.
- Collaborate with other departments to resolve customer issues and improve the experience.
- Stay updated on product launches, policies, and industry trends to provide accurate customer information.
- Advocate for customers by sharing feedback and insights with the company.
- Participate in divisional activities as part of the Customer Success organization.
PythonArtificial IntelligenceData AnalysisData MiningMachine LearningMicrosoft Power BI
Posted 20 days ago
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