Vacancy expired!
- 6+ years of related experience
- Experience in model development and implementation for forecasting, working with both modelers and business users
- Empirical experience or academic training on econometrics or statistics, including data preparation and model estimation
- Ability to assess model implementation quality and production control risk with minimal supervision
- Ability to evaluate data sources deeply and thoroughly to improve forecast models
- Ability to provide customer support in the areas of model forecast and analytics
- Ability to design and build influential presentations and reports, oral and written, for diverse business audiences
- Strong communication skills, including the ability to communicate technical results to non-technical audience
- Ability to work in a team environment, establish and maintain relationships within and across division
- Demonstrated experience using some of the programming languages commonly used in model and application development
- Ability to review technical requirements and provide prototype code and test results to assist application development team in implementing new/updated models
- The group of skills related to Programming including coding, debugging, and using relevant programming languages
- Experience evaluating businesses, projects, budgets, and other financial entities or instruments to determine viability, stability, and performance
- Focused experience in artificial intelligence (AI), including machine learning and natural language processing (NLP)
- Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand
- Expertise in using statistical methods, including: developing and testing hypotheses, using experimental design, and running linear and logistic regressions
- Skilled in documentation and database reporting for the purposes of analysis, data discovery, and decision-making with the use of relevant software such as Crystal Reports, Excel, or SSRS
- The group of skills related to Business Insight including advising, designing business models, interpreting customer and market insights, forecasting, benchmarking, etc.
- Experience gathering accurate information to explain concepts and answer critical questions
- Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
- Demonstrated experience in financial services/banking industry; mortgage industry preferred
- Proficient in SAS/R and experience with Python. Knowledge of relational Databases/SQL
- Demonstrated academic training or empirical experience on econometrics or statistics, including data preparation and model estimation
- Ability to review technical requirements and provide prototype code and test results to assist application development team in implementing new/updated models
- Experience in financial services/banking industry; mortgage industry experience preferred
- Independently conduct research on model development, implementation, and performance tracking and enhance models to meet specific analytical needs
- Demonstrated experience in examine mortgage data and model outputs and determine the efficacy of current analytical standards or models
- Independently perform ad hoc analysis for clients needing quantitative analysis of credit risk, product valuation, and asset analysis
- PhD degree in Economics, Statistics, Finance, or other related field preferred
- Experience using R
- Skilled in SAS
- Skilled in Python object-oriented programming
- Skilled in Excel