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Customer Success Architect, Model Risk Management (MRM)

Posted 21 days agoViewed

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💎 Seniority level: Senior, 3-7 Year

📍 Location: California, New York, New Jersey, US Eastern Time zone, NOT STATED

🔍 Industry: Financial services, Model Risk Management

🏢 Company: ValidMind👥 11-50💰 $8,100,000 Seed 11 months agoArtificial Intelligence (AI)Financial ServicesBankingMachine LearningRisk ManagementInformation TechnologyInsuranceSoftware

🗣️ Languages: English

⏳ Experience: 3-7 Year

🪄 Skills: PythonArtificial IntelligenceData AnalysisData MiningMachine LearningMicrosoft Power BI

Requirements:
  • 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.
Responsibilities:
  • 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.
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