Risk Analytics Internship: RV/SMR Forecasting & Insights

BMW Group; United Kingdom; On-site; GBP 24,000 - 30,000; Full time

Benefits offered by this job

Great pay

Pension

On-site restaurant

Advantages scheme

Job summary

BMW Group in Farnborough offers a placement year in Risk Management within the Multi Make Asset Risk team, focusing on RV and SMR risk for non-BMW Group brands.

You will analyse large datasets, develop forecasting models, and support risk methodologies while engaging with commercial, remarketing and data teams. A strong math background and Excel proficiency are essential for this placement year starting July 2027.

Qualifications

• Bachelor's degree in a relevant discipline and on track to achieve a 2:1 or above.
• Strong Excel skills are essential.
• Knowledge of SAS, Qlik Sense or other data analysis tools would be advantageous.
• Good working knowledge of Microsoft Office applications, particularly PowerPoint.
• Excellent numerical and analytical skills with strong attention to detail.

Responsibilities

• Analyse large and complex datasets relating to retail finance portfolios, vehicle values, maintenance costs, vehicle usage and market trends.
• Explore and develop the use of available data through data mining and statistical analysis.
• Support the development and enhancement of forecasting models, credit scorecards and risk methodologies.
• Involve yourself in vehicle value forecasting activities, including time-series analysis and regression techniques.
• Analyse new and used vehicle markets, including auction data and residual value performance.
• Assist in integrating economic factors into forecasting and risk models.

Skills

Excel

SAS

Qlik Sense

PowerPoint

Data analysis

Education

Bachelor's degree in a relevant discipline

Tools

Microsoft Office

Job description

BMW Group in Farnborough offers a placement year in Risk Management within the Multi Make Asset Risk team, focusing on RV and SMR risk for non-BMW Group brands.

You will analyse large datasets, develop forecasting models, and support risk methodologies while engaging with commercial, remarketing and data teams. A strong math background and Excel proficiency are essential for this placement year starting July 2027.