Senior Risk Manager, Model Governance

3 weeks ago


Bengaluru, Karnataka, India Toast Full time
About This Role

At Toast, we're building a restaurant platform that helps businesses operate more efficiently, increase sales, and engage with their customers. To ensure the quality and reliability of our advanced predictive models, we're seeking a seasoned risk management professional to lead our model risk management program.

Key Responsibilities
  1. Design and implement the model risk management program, overseeing high-risk models used by Toast.
  2. Establish and maintain model risk governance documentation, including frameworks, policies, and best practices.
  3. Define and implement key model requirements and standards, such as model development, implementation, and validation.
  4. Develop and maintain a comprehensive model risk inventory, including respective risk information.
  5. Conduct regular risk-based model validation reviews and oversee remediation plans to address identified model risks and issues.
  6. Partner with cross-functional teams to provide effective challenges, complete model validation, enforce model governance, and conduct ongoing monitoring.
  7. Inform and report to leadership on model risk management issues, risks, or practices.


Requirements
  • Advanced degree in quantitative fields, such as Data Science, Statistics, Mathematics, Financial Engineering, or related disciplines.
  • At least 8 years of experience in model risk management and/or data science at a fintech, bank, technology company, or consulting firm with a focus on credit risk modeling, financial models, and lending growth strategies.
  • Proficiency in machine learning, AI, and statistical modeling techniques.
  • Strong proficiency in Python and SQL, with experience with data science libraries and tools.
  • Familiarity with standard software engineering practices and tools.
  • Excellent knowledge and understanding of model risk management frameworks and practices.
  • Ability to comprehend business problems, challenge quantitative methodologies, and articulate complex information to stakeholders.
  • Strong critical and analytical thinking, decision-making, innovative problem-solving, and excellent communication skills.


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