Risk Analytics Internship: Vehicle Value & Forecasting

BMW Group; Farnborough; On-site; GBP 20,000 - 26,000; Full time

Benefits offered by this job

27 days holiday per annum (pro rata to

pension scheme

subsidised on-site restaurant

Advantages scheme with discounts

Job summary

BMW Group Farnborough is offering a 2027 placement year in Risk Management within the Multi Make Asset Risk team. You will analyse large datasets on retail finance portfolios, vehicle values, and maintenance costs, supporting loss forecasting models and risk methodologies.

You will use Excel, SAS and Qlik Sense, developing data-driven insights and presenting findings to stakeholders. The role requires a candidate returning to study for at least 6 months in the UK.

Qualifications

• Studying towards a Bachelor's degree in a numerate discipline with a 2:1 or above.
• Strong Excel skills are essential.
• Knowledge of SAS, Qlik Sense or similar data tools is advantageous.
• Proficient in MS Office, especially PowerPoint, with strong numerical ability.

Responsibilities

• Analyse large datasets related to retail finance portfolios, vehicle values, maintenance costs, usage and market trends.
• Develop data mining and statistical analysis techniques to extract insights.
• Support loss forecasting models, credit scorecards and risk methodologies.
• Participate in time-series analysis, regression and scenario testing for vehicle value forecasting.
• Prepare regular and ad hoc reports for internal stakeholders and committees.
• Collaborate with BMW Group teams across Commercial, Remarketing, Controlling, Data and more.

Skills

Excel skills

Numerical/analytical skills

Stakeholder management

Team leadership in university projects

Communication and presentation

Proactive learner

Organised and multi-tasking

Education

Bachelor's degree in Mathematics / Economics / Business / Finance or related numerate subject (2:1+)

Tools

SAS

Qlik Sense

Excel

PowerPoint

Job description

BMW Group Farnborough is offering a 2027 placement year in Risk Management within the Multi Make Asset Risk team. You will analyse large datasets on retail finance portfolios, vehicle values, and maintenance costs, supporting loss forecasting models and risk methodologies.

You will use Excel, SAS and Qlik Sense, developing data-driven insights and presenting findings to stakeholders. The role requires a candidate returning to study for at least 6 months in the UK.