Credit Portfolio Management (CPM) is Credit Risk’s centralized analytics area, collaborating with key stakeholders throughout the Bank to strengthen our Credit decision-making and portfolio-level understanding of Credit risk. This role will support these efforts through content-rich coverage of assigned areas, analytical work using internal and external data on various factors (industry, macro, etc.) and communicating the results with senior leaders across the organization.
Requirements
- Knowledge of SQL, SAS, Python, or other programming languages is a plus; Interest in developing these skills and love of data is a must
- Ability to analyze data across multiple channels and quantify business impacts related to past and future strategic decisions; Passionate about problem solving and data, with a love of identifying trends and insights
- Proficiency with: Microsoft Excel / PowerPoint
- Proficiency with: Data visualization
- Understanding of: Foundational awareness of how to extract data from centrally managed database systems
- Understanding of: Process flow and automation
- Understanding of: Basic quantitative methods
- Experience with data visualization tools (e.g Tableau, Power BI)
- Experience with Analytical programming languages (e.g. Python, R, SAS)
- Familiarity with big data and understanding the need to navigate data warehouse and/or data supply chain
- Experience working with cloud technologies (e.g AWS, GCP, Azure, or others)
Responsibilities
- Participate in moderate to complex forms of analysis, leveraging technical skills to digest and draw insights from both internal and external data sets
- Conduct research investigating quantitative measurement of credit portfolio performance.
- Extract timely and accurate data from data systems (Cognos, Tableau) to produce meaningful financial analysis.
- Develop technical tool capabilities (Cognos, Tableau, SAS) and business acumen
- Partner across CPM to investigate the credit portfolio’s risk composition ahead of potential business cycle migrations, industry risk migrations, regional risk migrations, and name specific credit migrations
Other
- Bachelor's degree in Mathematics, Statistics, Data Science, Engineering, Finance, Economics, Computer Science, Data and Business Analytics or other quantitative fields of study or relevant experience.
- An inquisitive nature, strong communication skills, detail orientated, advanced interpersonal skills; accuracy, focus and teamwork are required
- This candidate should also be detail-oriented and have the ability to multi-task; accuracy in analysis and the timely achievement of goals is crucial to success in this role
- Strong written and oral communication skills, with ability to articulate insights drawn from data in a clear and concise manner for larger audience business partners and executive leadership.
- Ability to speak, write and present clearly; Uses various media appropriately and effectively; Has emerging presentation development and delivery skills.
