Independently develops, implements, maintains, analyzes and manages quantitative/econometric credit risk models used for capital planning, ACL and underwriting purposes. Â Serves as Bank-wide or industry expert in key area(s) of quantitative risk management. Â Provides mentoring, training and guidance to less experienced analysts and may lead/manage teams on a project basis, providing performance feedback to management as appropriate.
The position serves as a quantitative expert in use of statistical programming languages to analyze Bank datasets and development, implementation and maintenance of credit risk models. It is important for the position to communicate with clear narratives, compelling data visualization and technical precision, both in-person and in writing, to enable audiences to understand analysis and forecasts. The position partners and collaborates with colleagues in related functions, including Credit Risk Management, Commercial and Consumer Business Units, Model Risk Management and review functions (Credit Review, Audit, etc) to implement and understand models for Bank use. The position often leads team-based projects related to model development or implementation. This role is highly technical in nature and requires demonstrated attention to detail, execution and follow-up on multiple initiatives within Finance and across the Bank. The ability to identify, analyze, rationalize and communicate complex business, data and statistical problems and recommend corresponding solutions while directing the work of others on the team is a key factor of success in this role. The position may supervise the work of interns and/or lead teams on a project basis, providing performance feedback to management as appropriate. The position also provides guidance and direction to less experienced personnel.
Bachelor’s degree and a minimum of 6 years’ proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 10 years’ higher education and/or work experience, including a minimum of 6 years’ proven quantitative behavioral modeling experience
Minimum of 6 years’ on-the-job experience with pertinent statistical software packages (SAS, Python, Stata, R)
Minimum of 6 years’ on-the-job experience with data management environment, such as SQL Server Management Studio
Minimum of 6 years’ on-the-job experience analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs
Masters’ of Science or Doctorate degree in statistics, economics, finance or related field in the quantitative social, physical or engineering sciences, with proven coursework proficiency in statistics, econometrics, economics, computer science, finance or risk management
Minimum of 8 years’ statistical analysis programming experience
Financial Risk Manager (FRM) or Chartered Financial Analyst (CFA) designation
Fluency and high proficiency in econometric/statistical techniques, especially time-series analysis, panel data methods and logistic regression
Experience in balance sheet management and mathematical modeling of financial instruments offered by banks
Knowledge and familiarity with key aspects of model risk management and model validation, including SR-11-7 guidance on model risk management
Proven track record for being able to work autonomously and within a team environment
Proven leadership skills
Strong desire to learn and contribute to a group
Previous experience leading and directing the work of less experienced personnel
Loading similar jobs...
Discover fully remote job opportunities in the United States at USA Remote Jobs. Apply for roles like Software Developer, Customer Service Specialist, Project Manager, and more!