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- Tasks: Join us as a Senior Risk Modeller, enhancing model risk management and implementing forecast models.
- Company: Work with a leading Automotive company revolutionising sustainable mobility solutions in the UK.
- Benefits: Enjoy a competitive salary, annual bonuses, and up to 15% pension contributions.
- Why this job: Be part of a high-autonomy role with strong career progression in a dynamic industry.
- Qualifications: You need a solid background in Statistics or Data Science and 3+ years in forecasting.
- Other info: Hybrid work model: 3 days on-site in London, plus private medical and dental insurance.
The predicted salary is between 60000 - 90000 £ per year.
Peaple Talent is working in partnership with a top-tier Automotive company focused on delivering innovative and sustainable mobility solutions. As the UK’s largest car leasing provider, they currently support over 750,000 drivers. What sets this client apart is their inclusion of full insurance coverage within lease agreements. With more than 815,000 Scheme Customers, they manage the UK’s largest motor fleet insurance policy.
We’re now looking to onboard several Senior Risk Modellers. These individuals will play a key role in strengthening the model risk management framework and ensuring accurate implementation of all forecast models.
What we’re looking for:
- Solid academic background in Statistics, Mathematics, Economics, Data Science, or a related discipline
- 3+ years of hands-on experience in forecasting or data analytics
- Proficiency in statistical tools, preferably Python or R
- Practical exposure to machine learning, predictive modelling, and advanced analytics techniques
- Industry experience in Automotive, Finance, or Manufacturing is highly desirable
What’s in it for you:
- Salary: £60,000–£90,000
- Location: London (3 days per week on-site)
- Annual bonus scheme
- Pension: Up to 15% contribution
- High-autonomy role with strong progression potential
- Private Medical & Dental Insurance
Senior Risk Modeller employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Risk Modeller
✨Tip Number 1
Network with professionals in the automotive and finance sectors. Attend industry events, webinars, or meetups to connect with people who can provide insights into the role and potentially refer you.
✨Tip Number 2
Familiarise yourself with the latest trends in risk modelling and analytics within the automotive industry. This knowledge will help you stand out during interviews and demonstrate your passion for the field.
✨Tip Number 3
Showcase your proficiency in Python or R by working on personal projects or contributing to open-source initiatives. This practical experience can be a great talking point in interviews.
✨Tip Number 4
Prepare for technical interviews by brushing up on statistical tools and machine learning concepts. Practising problem-solving scenarios related to forecasting and data analytics will give you an edge.
We think you need these skills to ace Senior Risk Modeller
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your academic background in Statistics, Mathematics, or Data Science. Emphasise your 3+ years of experience in forecasting or data analytics, and showcase your proficiency in Python or R.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the automotive sector and how your skills in machine learning and predictive modelling can contribute to the company's goals. Be specific about your previous experiences that align with the role.
Highlight Relevant Experience: If you have industry experience in Automotive, Finance, or Manufacturing, make sure to detail this in your application. Use examples to demonstrate how your past roles have prepared you for the Senior Risk Modeller position.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a role in risk modelling.
How to prepare for a job interview at Peaple Talent
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in statistical tools like Python or R during the interview. Be prepared to discuss specific projects where you've applied these skills, especially in forecasting or data analytics.
✨Demonstrate Industry Knowledge
Since the role is within the automotive sector, brush up on current trends and challenges in the industry. Showing that you understand the market and its dynamics can set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples from your past experience where you successfully implemented predictive modelling or machine learning techniques.
✨Emphasise Your Academic Background
With a solid academic background being crucial for this role, be ready to discuss how your studies in Statistics, Mathematics, or Data Science have equipped you with the necessary skills for risk modelling.
