Financial Quantitative Analyst

Overview Employer : Roeslein & Associates, Inc. Position Title : Financial Quantitative Analyst Location of Employment : 9200 Watson Rd., Ste. 200, St. Louis, MO 63126 Position Duties Summary : Develop, implement, and maintain financial models to support budgets, cost control initiatives, and production planning. Analyze trends in resource allocation, direct labor efficiency, and overhead management to guide operational and strategic decisions. Assess project profitability, capital expenditures and new project opportunities using NPV, IRR, and scenario analysis tailored to production investment cycles. Apply statistical methods (e.g., regression analysis, Monte Carlo simulations, and time series forecasting) to predict production models and resource needs. Utilize ERP systems (such as SAP, Oracle, or Infor) to monitor revenues and costs per projects, purchase orders, and operational KPIs, integrating real-time financial data into performance dashboards. Update financial forecasts and cost schedules in response to changes in production capacity, and resource availability. Generate reports and deliver presentations to operations, and finance teams detailing plant profitability, cost trends, and resource utilization. Perform variance analyses comparing actual vs. forecasted production costs, identifying root causes of inefficiencies and recommending corrective actions. Position Requirements : Must have at least a master’s degree in business administration, finance, economics, statistics, mathematics, or a related field (foreign equivalents accepted). Must have at least three (3) years of performing financial analysis in a production, manufacturing, or supply chain setting with experience including: Developing and maintaining financial reports and budgets to support operational and management decision-making. Conducting cost analysis related to labor, materials, and overhead in a manufacturing setting. Using enterprise resource planning (ERP) systems (such as SAP, Oracle, or Infor) to extract and analyze financial and operational data. Using database management and programming software (such as Python, SQL, C#, Java, .NET, VBA) for developing and implementing mathematical models. Preparing variance analyses by comparing budgeted vs. actual costs and identifying key drivers. Supporting forecasting activities by analyzing historical trends in production and spending. Assisting in inventory valuation and cost accounting activities, including tracking inventory levels, purchase costs, and production output. Communicating financial insights and performance trends to cross-functional teams, including operations and supply chain personnel, in a clear and actionable format. #J-18808-Ljbffr Roeslein-