AgWest Farm Credit is a member-owned financial cooperative that provides financing and related services to farmers, ranchers, agribusinesses, commercial fishermen, timber producers, rural homeowners and crop insurance customers in a seven-state territory in the Western United States. AgWest is part of the 100+ year-old Farm Credit System - the leading provider of credit to American agriculture. AgWest champions the growth and advancement of agriculture, the value of rural communities, and the vital contribution our customers make to the economy and society. We serve customers in 59 locations throughout the West. We are in search of a Quantitative Risk Analyst to join our Portfolio Risk and Analytics team in Rocklin, California. This full-time position reports to the Vice President Risk Management and is responsible for performing modeling and analysis work with data, such as exploratory data analysis, model development, ongoing model monitoring, and general statistical analysis. This includes assisting in the development, deploying, and maintaining quantitative models and other analytics tools, as well as effectively communicating results with stakeholders through documentation and presentations. Work performed supports operational efficiency as well as risk assessment and opportunity to define response objectives. This position is eligible for a hybrid work schedule and one-time home office stipend after initial training period. Compensation Information The base salary range for this position is: Level 1 $63,000 - $94,000, depending on experience. Level 2 $77,000 - $109,000, depending on experience. Position is eligible for an annual incentive program in addition to the base compensation. Job Requirements Support the development of approved analytics strategy tools and models; including credit decisioning, loan loss modeling, risk rating models, collateral valuation models, and loan performance forecasting. Implement, and maintain business models; collaborate with supplemental external resources as needed and appropriate. Create and maintain model development documentation and model monitoring processes. Support assessment activities in accordance with internal model risk management governance policies and industry best practices. This may include coordination and support of counterparty vendor outsourcing of modeling activities. Collect and prepare data for analysis, perform exploratory to advanced predictive and modeling analytics, and identify data relationships such as patterns and trends to recognize, validate, and enumerate existing and emerging risks and opportunities. Assist in the development of quantitative stress testing models. Conduct analysis and draw conclusions of stress test scenarios involving stress to portfolios, commodities, interest rates and capital levels. Communicate with a variety of stakeholders. This includes giving presentations, writing reports, data visualizations, and model development documentation. Collaborate with Farm Credit System risk analytics workgroups and participate in modeling and analytical projects as needed. Perform all duties and maintain all standards in accordance with company policies, procedures, and internal controls. Other duties as assigned. Minimum Requirements Bachelor's degree in economics, finance, mathematics, statistics; or an equivalent combination of education and experience Experience using data analysis tools and computer programming such as R/RStudio, Python, SQL, Power BI, Excel, or other data analysis tools Knowledge of statistical methods, time series analysis, probabilistic modeling, and statistical/computer programming Knowledge of code methods such as Azure DevOps or Git Knowledge of business automation and relational databases Ability to research complex topics and design an