Manager - Credit Loss Forecasting
Auto Req ID:
30048BR
Job Title:
Manager - Credit Loss Forecasting
Location:
Dearborn
State:
MI
Company:
Ford Motor Credit Company
Job Description
Job Description/Overview:
We are seeking an experienced Statistician and Manager to lead a team of 5-6 statisticians in all phases of statistical model development, evaluation, and deployment of forecasting credit losses for Ford Credit globally.
Responsibilities
Responsibilities include, but are not limited to:
Job Requirements:
Basic Qualifications:
Preferred Qualifications:
The distance between imagination and … creation. It can be measured in years of innovation, or in moments of brilliance. When you join the Ford team discover all the benefits, rewards and development opportunities you’d expect from a diverse global leader. You’ll become part of a team that is already leading the way, with ingenious solutions and attainable products – and it is always ready to go further.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
Job Description/Overview:
We are seeking an experienced Statistician and Manager to lead a team of 5-6 statisticians in all phases of statistical model development, evaluation, and deployment of forecasting credit losses for Ford Credit globally.
Responsibilities
Responsibilities include, but are not limited to:
- Lead a team of 5-6 statisticians/econometricians. Provide technical guidance to junior and senior GSR and agency analysts
- Engage with customers to understand their business problems and develop sound analytic solutions and models.
- Provide direction to analysts on statistical procedures to develop:
- Portfolio level forecasts of credit losses using survival analysis and origination risk assessment models
- Portfolio and contract level macro-economic models to predict probability of default, probability of loan payoff and loss given default.
- Supporting models for expected credit loss forecasting for IFRS9 (International Financial Reporting Standards version 9) and US GAAP (Generally Accepted Accounting Principles)
- Provide direction to analysts to develop tracking methodologies and reports to monitor model accuracy and evaluate performance.
- Provide direction to analysts to prepare analysis to back-test and compare competing methodologies.
- Review models, including model documentation, model results, and code
- Communicate and present models to business customers and executives.
- Direct variance analysis to explain changes from model to model and in issue to issue forecasts. Communicate variance analysis to business customers and executives
- Ensure good model governance practices are satisfied including review and signoff on quarterly adequacy binder, ensure desk procedures are maintained and followed, and data retention standards are met
- May involve some model development including extracting data from various data sources and platforms (PC, Mainframe, Unix/Linux, Teradata).
- Exceptional People Leadership:
- Recruit & Onboard New Team Members: Follow appropriate internal/external hiring processes, build a team of appropriately-leveled team members who are ‘smart, nice & curious.’ Onboard and orient team members to GDI&A and Ford.
- Develop/Nurture/Grow individual and team capabilities: Set expectations, provide regular feedback, hold accountable and reward /recognize team members. Ensure all development and performance conversations are robust and input as appropriate into CNav.
- “Give back” to the GDI&A Function: i.e. PDC membership, mentoring, sharing technical knowledge, campus recruiting, etc.
Job Requirements:
Basic Qualifications:
- Master’s degree Statistics/Biostatistics/Econometrics/Economics or related quantitative field
- 3+ years of supervisory experience to include leading people
- 5+ years of experience conducting statistical analysis in business or industrial environment
- 3+ years of experience in regression analysis in one or more of the following statistical programming languages: SAS, R, Python or similar statistical programming languages/packages
Preferred Qualifications:
- Experience in auto or auto finance company is a plus
- Experience in maximum likelihood estimation, linear and non-linear modeling, causal inference, longitudinal analysis, time series forecasting and survival analysis
- Ability to translate complex quantitative methods into easily understood results for all levels of business customers
- Experience leading a technical team is a plus
- Ability to provide direction to team on multiple projects within a given timeframe
- Strong oral and written communication skills
- Experience using SQL
- Experience with Microsoft EXCEL, PowerPoint and Word
The distance between imagination and … creation. It can be measured in years of innovation, or in moments of brilliance. When you join the Ford team discover all the benefits, rewards and development opportunities you’d expect from a diverse global leader. You’ll become part of a team that is already leading the way, with ingenious solutions and attainable products – and it is always ready to go further.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.