Quantitative Financial Analytics Officer II The Quantitative Financial Analytics Officer II is responsible for being a central part of the analytics processes of Enterprise Risk by working to develop, operate, and maintain models as well as their underlying data and system supported workflows. This position also participates in developing quantitative insights that come from this work and applies them to various products or circumstances.
Position Competencies: Successful incumbents possess business acumen, demonstrate creativity and interpersonal savvy, make timely decisions, have excellent data processing and planning skills, and have presentation skills.
Responsibilities: Model Development * Develop and enhance credit risk models with senior analysts. * Establish and enhance model measurement statistics. * Provide rigorous assessment of data quality and assumptions relevance, and appropriate documentation especially where management judgment is used. * Provide documentation of model methodology and procedures. Model Implementation and Running of Final Models * Provide automating model forecast runs with control checkpoints. * Data analysis of associated inputs of the models. * Running of models to derive forecast results for credit risk models. * Reporting and analysis of model results. Model Maintenance, Testing, Monitoring and Sensitivity Analysis * Update validated models with new data points. * Document resulting changes in model equations or other changes. * Monitor/Analyze the existing models to determine ways to improve results. * Provide sensitivity analysis of existing models to understand impact of individual variables and scenarios. Model Application * Begin to provide input on shaping of models and associated outputs to improve usefulness, intuitiveness, and real-world applicability.
Travel Travel is not required of this position.
Relocation Relocation assistance is not offer for this position.
* Master's degree from an accredited university with coursework in Quantitative Finance, Econometrics, Statistics, or Operations Research plus 2 years of experience * 4 years of experience using SAS or other statistical software * 4 years of experience in econometric modeling including development of logistic regression models, time series regression models, ordinary least squares models, and general linear models * 2 years of experience with data analysis and report creation * 2 years of experience using MS office including Word, Excel, PowerPoint and Access
Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled