Data Scientist - Risk Modelling

JR United Kingdom; York; On-site; GBP 55,000 - 75,000; Full time

Job summary

A leading automotive company in the UK seeks multiple Senior Risk Modellers to enhance their model risk management framework. The successful candidates will work on implementing robust forecasting models, utilizing their expertise in statistics and experience in data analytics. This position offers significant autonomy and development opportunities in a rapidly evolving field.

Benefits

Pension: 15% contribution

Autonomous position with significant development opportunities

Qualifications

• 3+ years of experience in forecasting or data analytics.
• Proven experience with statistical software, ideally in Python or R.
• Industry knowledge of forecasting in Automotive, Finance, or Manufacturing is desirable.

Responsibilities

• Deliver a strong model risk management framework.
• Ensure all forecast models are robustly implemented.

Skills

Statistics

Mathematics

Economics

Data Science

Machine Learning

Predictive Modelling

Education

Degree in Statistics, Mathematics, Economics, or Data Science

Job description

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Peaple Talent have partnered with a leading Automotive business that delivers smart & sustainable solutions to improve customers’ mobility. They are the UK’s largest car leasing company, helping over 750,000 people get on the road.

My client is unique in providing comprehensive insurance as part of the lease costs. With over 815,000 scheme customers, they hold the largest motor fleet policy in the UK.

We are now seeking several Senior Risk Modellers responsible for delivering a strong model risk management framework and ensuring all forecast models are robustly implemented.

What we're looking for:

• A strong background in Statistics, Mathematics, Economics, Data Science, or a related field
• 3+ years of experience in forecasting or data analytics
• Proven experience with statistical software, ideally in Python or R
• Experience with advanced analytical techniques, including machine learning and predictive modelling
• Industry knowledge of forecasting in Automotive, Finance, or Manufacturing is highly desirable

What's in it for you:

Location: London (3 days onsite)

Pension: 15% contribution

Autonomous position with significant development opportunities