Integration and Automation Leader - Credit Risk Modeling
About The Position
We are looking for a strategic and results-driven quantitative leader to lead partnering with technology and lead automation initiatives within the Credit Risk Model Operations and Strategy team, as part of the Model Development and Decision Science (MDDS) organization. This role will focus on redesigning and optimizing key processes across the model lifecycle—including implementation, production, and performance monitoring—as we migrate from SAS to Azure Databricks and Python. The models support loan portfolio stress testing (CCAR), the allowance for credit losses (ACL / CECL), counterparty risk, and commercial risk rating scorecards. The ideal candidate will have hands-on experience in system design, a strong foundation in data science, and proficiency in quantitative programming languages.
Requirements
- Bachelor’s degree in a quantitative field, and 10 or more years of relevant experience OR MA/MS in a quantitative field, and six or more years of related experience OR PhD in a quantitative field, and five or more years of related experience
- Strong understanding of technology including fundamental software engineering principles, automation tools, cloud-based tools and infrastructure, database systems, and dashboard/visualization tools particularly in support of modeling /quantitative platforms.
- Exceptional leadership skills and ability to drive initiatives that span multiple teams and stakeholders.
- A mindset for collaboration, customer centricity, and risk management.
- Experience with risk modeling and data at large regulated financial institutions.
Nice To Haves
- Object-oriented python programming
- Databricks experience required in model development, model production, and/or model monitoring.
- Relational databases, SQL query optimization
- Code management and version control using Git
- AI/ML and generative AI approaches
- Strong project management and organizational skills
- Familiarity with AI-driven tools and automation platforms (e.g., Microsoft Copilot, Microsoft Power Platform) to streamline data operations and accelerate data delivery.
Responsibilities
- Design, build, and maintain reusable code libraries and frameworks to support model development, implementation, production and monitoring activities.
- Partner with technology to lead the selection, onboarding, and maintenance of technology tools and platforms used in model operations.
- Develop and manage automated data pipelines and containerized environments (e.g., Docker, Kubernetes) for scalable data processing, model operations.
- Implement orchestration tools (e.g., Apache Airflow) to streamline model operations workflows, reporting, and documentation.
- Develop and deliver onboarding programs for new team members, focusing on tooling, infrastructure, and best practices.
- Provide ongoing training and support to ensure effective use of automation tools and libraries.
- Foster a culture of continuous learning and innovation within the team.
- Partner with model developers and model operations to assess and meet their technological needs in a timely and effective manner.
- Contribute to reporting and presentations for senior management and risk committees.
Benefits
- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
- Incentive and recognition programs
- Equity stock purchase
- 401(k) contribution and pension
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What This Job Offers
Job Type
Full-time
Career Level
Senior
