What are the responsibilities and job description for the Financial Quantitative Analyst position at Roeslein & Associates?
Accounting & Finance
St. Louis, MO
ID: 4281-226
Full-Time/Regular
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.
- 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.