Sr Economist

GM Financial
Fort Worth - United States
S: Competitive

The Senior Economist is responsible for assisting in the design, development, deployment and maintenance of data driven models. Additionally, the Senior Economist plays a key role in the production of research and analysis to quantify the impact of economic, legal and industry factors that affect portfolio performance. This research support strategic planning, as well as the specific needs of Pricing, Investor Relations, Structured Finance, Dealer Services and Credit Risk Management. This position focuses on improving econometric stress testing models, incorporating scenario analysis into credit risk decisions and is the subject matter expert on market performance through an in depth knowledge of econometrics, diligent knowledge of economic and market data, and providing insightful interpretation through outside of the box analysis. To improve ad-hoc executive decisions, the Sr Economist applies advanced quantitative and analytical skills and processes through data analysis, model development and strategy testing. This position is responsible for summarizing, reporting and providing a polished presentation on findings to a variety of internal clients as well as interacting with other departments in the interest of achieving the overall company objectives.

JOB DUTIES

Assist in developing econometric models, performing statistical analysis, developing scenario roleplaying models, monitoring and validating model performance and updating models as needed.
To assist in model development and market monitoring process, developing and maintaining various databases, maintaining expert level knowledge of economic series and databases and continually building technical knowledge to support research and analytic responsibilities.
In conducting ad-hoc research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business.
Apply economic principles, knowledge of third party data sources, and creative econometric expertise in developing new models to new business areas.
Provide complex modeling and econometric support to all areas of Credit Risk Management and ensure that the delivered products meet the business needs of the company.
Partner with and provide recommendations to business leadership on the appropriate application of econometric analysis, market data and predictive analytics to business strategies and effectively communicate credit risk analysis and implications to senior leadership.

Qualifications

Knowledge

Strong quantitative, analytical and data mining skills.
Ability to identify and understand business issues and map these issues into quantitative questions
Efficient modeling skills with very large datasets
Proficiency in econometric or statistical experimental design, ability to design and implement model documentation and monitoring protocols, demonstrated understanding and experience with technical systems, rational datasets, data warehouses, data mining, and data analysis techniques
Advanced knowledge of principles, standards, practices and techniques relating to statistical modeling for a financial firm
Advanced knowledge of applied statistical methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decisions trees, multivariate methodologies, non-parametric techniques, principal components, and linear programming techniques.
A solid understanding of credit bureaus and the structure of their credit files, economic databases; along with advanced skills in EVIEWS, SAS, JMP, Bloomberg terminal, Excel, Word, and PowerPoint.


Skills

Effective written and verbal presentation skills with an ability to communicate well with Senior Management
Ability to interact collaboratively with internal customers and external vendors
Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, meeting deadline
Demonstrated quantitative skills and ability to apply complex statistical principles.


Experience

Master's degree required in Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field.
Extensive experience presenting highly complex analysis to upper management is required
In addition, 5+ years of experience in modeling. (SAS)

Job summary