Quantitative Analyst

Job Listing No: 9740000

Quantitative Analyst

Title: Quantitative AnalystOffice Location: Normal, IL preferred; or Lakeville, MN; or Mankato, MNPOSITION OVERVIEW: The Quantitative Analyst will perform work as a data scientist by developing, organizing, and maintaining models to support an integrated stress-testing framework, including an economic capital model (credit market and operational risk), expected credit loss model, and scenario-based financial statement forecasts, and evaluate other business-related statistical relationships. They will use quantitative methods to research modeling methodology for development, refinement and parameter updates for risk framework.ESSENTIAL FUNCTIONS:Organize and analyze large, diverse and imperfect data sets using organization reporting and analysis tools including SQL and SAS.Interpret raw data sets, perform statistical analysis, and share results through a variety of reports, dashboards, and other data visualization tools.Develop data structures to support the generation of business insights and strategy, and translate data findings into actionable recommendations and improvements.Ownership of the model development process for internal business customers: from conceptualization through data exploration and implementation.  Translating results into meaningful solutions.Work with new and existing third-party vendors to implement, validate, and maintain decision models.Conduct statistical and economic analysis to understand key drivers impacting the financial position and income statement of the organization.Continuously evaluate industry trends for opportunities to utilize new technologies and data sources, and recommend strategies to implement these enhancements in the data environment.Work with other departments to fully utilize predictive analytics to design, develop and run statistical analyses to enhance and support stress testing, portfolio management and risk management.Actively participate in data governance activities, ensuring data quality meets the organization s objectives.                                    MINIMUM QUALIFICATIONS & REQUIRED KNOWLEDGE, SKILLS & ABILITIES:Bachelor s or Master s degree in Computer Science, Information Systems, Mathematics, Statistics, Econometrics, or related analytical field or an equivalent combination of education and experience sufficient to perform the essential functions of the job.5 or more years of experience in risk management modeling or advanced analytics and in-depth model development experience using econometric and statistical modeling techniques.Expertise in statistical techniques including regression analysis, decision trees, and stochastic processes. Proficiency with SAS highly preferred; or experience with at least one major statistical software program required.A demonstrated ability to communicate and explain complex quantitative modeling content to stakeholders.Proven ability to work under minimal supervision and demonstrated efficiency in meeting deadlines.On July 1, 2017 AgStar Financial Services, Badgerland Financial and 1st Farm Credit Services joined together as Compeer Financial, strengthening our commitment to the agricultural community. Compeer Financial, headquartered in Sun Prairie, WI, exists to champion the hopes and dreams of rural America like never before. If you are interested in empowering those in agriculture and rural communities to achieve their goals and expand their possibilities, we invite you to learn more about our organization. We are looking for innovative, dynamic and collaborative team members to join our team. We offer great benefits including:Competitive base salaryHealth insurance benefits (medical, dental, vision, etc.)401k (3% Compeer contribution & up to an additional 6% match)Paid vacation, sick leave, and holidaysEducational assistanceTraining and development programs   Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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