Credit Risk Model Development Quantitative Analyst II - Consumer Portfolio (Hybrid - see job description for potential work locations)
Bridgeport, CTAll locationsBridgeport, CTBuffalo, NYWashington, DCBaltimore, MDIselin, NJWilmington, DENew York, NYNY Hybrid
$71,600–$119,300 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
Provides experienced support in the development and analysis of quantitative/econometric behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning. Supports more experienced analysts and management in data analysis, model development efforts and ad-hoc analysis as needed. Provides guidance and direction to less experienced personnel as needed. The position serves as an experienced analyst in the use of statistical programming languages to analyze Bank datasets and development, implementation and maintenance of behavioral 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 the analyses and forecasts. The position partners and collaborates with colleagues in related functions, including Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management and business lines to implement and understand models for Bank use. This role is highly technical in nature and requires demonstrated attention to detail, execution and follow-up on multiple initiatives with Treasury and across the Bank. The ability to identify, analyze, rationalize and communicate complex business, data and statistical problems and recommend corresponding solutions is a key factor of success in this role.
What you'll bring
- Bachelor’s degree and a minimum of 1 years’ proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 5 years’ higher education and/or work experience, including a minimum of 1 years’ proven quantitative behavior modeling experience
- Minimum of 1 years’ on-the-job experience with pertinent statistical software packages (SAS, Python, Stata, R)
- Strong Python skills required
- Model development experience required, including familiarity with logistic regression and linear regression
- Minimum of 1 years’ on-the-job experience with data management environment, such as SQL Server Management Studio
- Minimum of 1 years’ experience in managing and 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 2 years’ statistical analysis programming experience
- Credit model development experience
- One (1) or more years of on-the-job Python programming experience
- 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