Risk Data Scientist

Peaple Talent; London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading Automotive company in London is seeking a Data & Engineering Practice Lead. This mid-senior level position involves delivering a robust model risk management framework and requires a strong background in Statistics and Risk Modelling. The role offers significant autonomy and development opportunities, with a hybrid working arrangement of 3 days onsite.

Qualifications

• Strong background in Statistics, Mathematics, Economics, Data Science, or related field.
• A number of years of experience in Risk Modelling, Risk Management, Risk Validation.
• 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/Manufacturing is highly desirable.

Responsibilities

• Responsible for delivering a strong model risk management framework.
• Ensure all forecast models are robustly implemented.

Skills

Statistics

Mathematics

Risk Modelling

Python

Machine Learning

Education

Degree in Statistics, Mathematics, Economics, Data Science, or related field

Tools

Statistical software (Python or R)

Job description

Overview

Peaple Talent have partnered with a leading Automotive business who deliver smart & sustainable solutions that improve customers’ mobility. They\'re the UK’s largest car leasing company and help over 750,000 people get on the road. My client are unique in that they provide comprehensive insurance as part of the overall lease costs. With 815k+ Scheme Customers this is the largest motor fleet policy in the UK.

Role

Data & Engineering Practice Lead | Helping businesses secure the best talent in Data

Responsibilities

• Senior Data Science Risk Modellers who will be responsible for delivering a strong model risk management framework, and ensuring all forecast models are robustly implemented.

Qualifications

• A strong background in Statistics, Mathematics, Economics, Data Science, or a related field
• A number of years of experience working within Risk Modelling, Risk Management, Risk Validation
• 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/Manufacturing is highly desirable

What’s in it for you

• Location: London (3 days a week onsite)
• Autonomous position with huge development opportunities

Job details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Analyst, Engineering, and Information Technology
• Industries: Retail Motor Vehicles, Financial Services, and Insurance