R&D Quantitative Analyst (Analytics Research Analyst)

At Ford, we go further to make our cars better, our employees happier and our planet a better place to be. Learn more about the work that makes Ford a company that we’re proud to be a part of. People working together as a lean, global enterprise to make people’s lives better through automotive and mobility leadership.

• Employ statistical / econometric / data mining techniques to assess, monitor and forecast different sources of risk.
• Develop optimization frameworks to support models related to risk allocation, pricing, capital strategy to improve and guide business decisions.
• Support the deployment of analytical tools related to quantitative risk management.
• Maintain and enhance previously developed models and tools.
• Work with various data sources and platforms (PC, Mainframe, Unix/Linux, and Teradata) to gather data.
• Execute both descriptive and inferential ad hoc requests in a timely manner.
• Communicate and present models to business customers and executives.
• Minimum Requirements:
• Master’s degree in a quantitative field such as Statistics, Economics, Mathematics, Physics, Operations Research or Quantitative Finance, etc.
• 1+ years of programming skills in R, MATLAB, and/or SAS required.
• 1+ years of experience with Microsoft EXCEL, PowerPoint and Word.

• Ph.D. in a quantitative field such as Statistics, Economics, Mathematics, Physics, Operation Research or Quantitative Finance.
• Demonstrated skills in conducting complex statistical analysis in a business or academic setting.
• Demonstrated skills in large scale data manipulation and mining / pattern recognition.
• Demonstrated proficiency with simulation techniques such as Monte Carlo.
• Strong knowledge of optimization techniques (e.g. linear/nonlinear/dynamic programming).
• Knowledge of theoretical / empirical techniques commonly used in industrial organizations (e.g. game theory, contract theory, oligopoly theory).
• Knowledge of models with limited dependent variables (e.g. choice models, selection models).
• Experience with C# and/or JAVA for developing Windows and Web applications.
• Experience with SQL.
• Experience with parallel/grid computing.
• Ability to handle multiple projects within a given timeframe.
• Ability to translate complex quantitative methods into easily understood results for all levels of business customers.
• Ability to create and manipulate Excel pivot tables and graphs.