Associate Director, Cnb Credit Risk Analytics

**Job Summary**

The Associate Director, CNB Credit Risk Analytics, will develop credit risk analytics tools including data-driven credit decisioning strategies and risk metrics to support credit risk management for City National Bank’s (CNB) Wholesale and Retail portfolios.

You will use analytics to create a data mart from enterprise databases. The data mart will be leveraged to extract credit risk insights via data-driven strategies to grow revenue and manage risk to ultimately optimize portfolio profitability. You will closely partner with other teams within CNB Financial Risk Analytics (FRA) team and business and risk partners across 1LOD and 2LOD. You will assist the Director and Senior Director, CNB Credit Models and Methodology to deliver the analytic tools that supports the value proposition of FRA.

We are looking for a curious, creative, open-minded individual to become a key contributor in credit risk capabilities at CNB. We are a team that help and empower each other to conquer challenges and drive meaningful impact. Given the nature of our work, the opportunity to gain analytical experience, to grow leadership skills and to expand your network is significant.

**What is the opportunity?**
The Associate Director, CNB Credit Risk Analytics, will develop credit risk analytics tools including data-driven credit decisioning strategies and risk metrics to support credit risk management for City National Bank’s (CNB) Wholesale and Retail portfolios.

You will use analytics to create a data mart from enterprise databases. The data mart will be leveraged to extract credit risk insights via data-driven strategies to grow revenue and manage risk to ultimately optimize portfolio profitability. You will closely partner with other teams within CNB Financial Risk Analytics (FRA) team and business and risk partners across 1LOD and 2LOD. You will assist the Director and Senior Director, CNB Credit Models and Methodology to deliver the analytic tools that supports the value proposition of FRA.

We are looking for a curious, creative, open-minded individual to become a key contributor in credit risk capabilities at CNB. We are a team that help and empower each other to conquer challenges and drive meaningful impact. Given the nature of our work, the opportunity to gain analytical experience, to grow leadership skills and to expand your network is significant.

**What will you do?**
- Leverage data science, mining, profitability modeling and business intuition to design credit strategies and inform lending decisions.
- Build and iteratively improve data engineering pipelines by navigating enterprise data warehouse and leveraging open-source querying and programming tools.
- Engage cross functional stakeholders to enhance data structure and quality for valuable credit risk capabilities and strategies. Be resourceful to conduct independent research to resolve challenges.
- Leverage data driven assumptions to model out financial outcomes of credit strategies.
- Design automated strategies to improve real time adjudication and the quality and consistency of manual adjudication.
- Maintain and update credit decision engine by making code changes including post implementation monitoring and testing.
- Determine alternative methods to solve problems and be the first line of defense on governance of your own analytic products.
- Present quantitative materials, concisely and accurately, to senior leadership.
- Support Business Review, Validation, User-Acceptance Testing, Internal Audit and External Audit or Regulatory Review of Credit Risk Strategies/Decisioning Models.
- Begin to develop an organizational awareness, creating a network that can be leveraged to independently solve problems.

**What do you need to succeed?**

**Must-have**
- Strong communication, collaboration, critical thinking, and problem-solving skills including understanding of financial modeling.
- Proficient programming skills in Python, R, SAS, and similar programming languages in data science.
- Strong data manipulation capability with SQL programming skills. Experience in writing complex SQL queries to extract and integrate data from multiple database sources.
- Agile mindset and strong commitment on continuous improvement; specifically, ability to identify and iteratively improve existing modeling or data pipeline process gaps.
- Demonstrated abilities for critical thinking and numerical analysis.
- Quality assurance mindset to validate and govern your own analytics products: data marts, strategies and models.
- Effective and equally conversant in translating technical expertise into business language that drive insights.
- At least 3 years working experience in building data-driven strategies or models.

**Nice-to-have**
- Degree in quantitative field of study (e.g., Mathematics, Statistics, Finance, Economics, Business Administration, Computer Science) - to demonstrate capability for critical thinking and data analysis.
- Experience with cr