Asset Risk Senior Modeller

Asset Risk Senior Modeller

London Full-Time 60000 - 84000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead model risk management and ensure robust forecasting in a dynamic financial environment.
  • Company: Join a growing financial services firm revolutionising automotive financing and insurance in London.
  • Benefits: Enjoy competitive salary, 28 days annual leave, and a generous pension plan with private health cover.
  • Why this job: Be part of a collaborative team driving impactful strategies in a thriving industry.
  • Qualifications: Experience in risk modelling, data analysis tools, and excellent communication skills are essential.
  • Other info: Work in a hybrid model, 3 days in the office, fostering a flexible work culture.

The predicted salary is between 60000 - 84000 £ per year.

This Asset Risk Senior Modeller role sits in the Asset Risk Modelling Team, operating in a matrix way of working, responsible for delivering a strong model risk management framework, and ensuring all forecast models are robustly implemented, operated, enhanced and developed in conjunction with joint ownership for the outcomes and outputs with business SMEs.

A growing Financial Services regulated firm, based in London, provides a crucial offering in the automotive financing and insurance sector, helping to provide their customers with insurance and finance packages to suit their needs. Their success in the market is evident from excellent reviews, strong growth and UK coverage.

As the Asset Risk Senior Modeller you will proactively support and inform the delivery of the Asset Risk strategy in alignment with the needs of the wider business strategy. You will work with the Modelling Manager to oversee the operational delivery of the model risk management framework in Asset Risk, ensuring model health, reporting, processing, auditing and reporting requirements are met and provide steer and challenge to ensure improvements are approved and delivered.

You will take the lead and proactively engage with the critical thinking and operational activity needed for the accurate and timely delivery of the critical BAU requirements for all key models associated with residual value forecasting, maintenance spend, insurance, customer pricing, and economic capital. You will maintain a deep understanding of, and be responsible for the challenging of, the model components - design principles, use of data, assumptions, applied statistical and modelling techniques - for the BAU models, helping to create and deliver the effective communication required to bridge the gap between the models and Asset Risk deliverables.

You will take the lead and proactively engage with the critical thinking and activity required to deliver the strategic projects from the Modelling team, ensuring all deliverables and outcomes are jointly owned with business SMEs. You will work with the Modelling Lead to ensure the Modelling Team are as engaged with explaining and owning the outputs and outcomes as they are with operating and developing our models, and with the equivalent engagement from non-modelling teams.

You will proactively challenge the way we work, and feed into the Asset Risk Strategy roadmap, and support in ad hoc queries where possible. You will form collaborative relationships to ensure the Model Team deliverables (BAU and strategic projects) are effectively managed and delivered in line with a matrix way of working approach across the Asset Risk Operational Teams and fellow Asset Risk output owners.

A successful Asset Risk Senior Modeller should have:

  • Proven experience in risk modelling within the insurance, financial service or consumer industry.
  • Capital modelling experience.
  • Experience in forecasting models.
  • Developing forecast models.
  • Proficiency in data analysis tools and programming languages such as Python, R, or SAS.
  • Excellent problem-solving skills and attention to detail.
  • Ability to communicate complex concepts to non-technical stakeholders effectively.
  • An agile approach to working with a variety of internal stakeholders in promoting clarity and understanding of the risk models.
  • Knowledge of relevant regulatory frameworks.

Salary - competitive range £70,000-£90,000. Annual leave 28 days, you can buy or sell as needed. Pension 15% non-contributory (9% in probation). Benefit - private health cover, more detail can be provided.

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Contact Detail:

Michael Page Banking Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Asset Risk Senior Modeller

✨Tip Number 1

Familiarise yourself with the latest trends in risk modelling, particularly within the automotive financing and insurance sectors. This knowledge will not only help you understand the role better but also demonstrate your commitment to staying updated in a rapidly evolving field.

✨Tip Number 2

Network with professionals in the financial services industry, especially those who work in asset risk or modelling roles. Engaging in conversations with them can provide valuable insights into the company culture and expectations, which can be beneficial during interviews.

✨Tip Number 3

Prepare to discuss specific examples of your experience with capital modelling and forecasting models. Be ready to explain how you've used data analysis tools like Python or R in previous roles, as this will showcase your technical skills and problem-solving abilities.

✨Tip Number 4

Practice explaining complex modelling concepts in simple terms, as effective communication with non-technical stakeholders is crucial for this role. Consider role-playing with a friend or mentor to refine your ability to convey these ideas clearly.

We think you need these skills to ace Asset Risk Senior Modeller

Risk Modelling
Capital Modelling
Forecasting Models
Data Analysis
Python
R
SAS
Problem-Solving Skills
Attention to Detail
Communication Skills
Stakeholder Engagement
Regulatory Knowledge
Model Risk Management
Statistical Techniques
Collaborative Working
Agile Methodologies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in risk modelling, particularly within the insurance or financial services sectors. Emphasise your proficiency in data analysis tools like Python, R, or SAS, and showcase any relevant capital modelling experience.

Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the Asset Risk Senior Modeller role specifically. Discuss how your skills align with the job requirements, such as your ability to communicate complex concepts to non-technical stakeholders and your experience in developing forecasting models.

Highlight Problem-Solving Skills: Provide examples in your application that demonstrate your excellent problem-solving skills and attention to detail. This could include specific projects where you successfully navigated challenges related to model risk management or forecasting.

Showcase Collaborative Experience: Mention any previous experiences where you formed collaborative relationships with internal stakeholders. Highlight how you engaged with teams to ensure effective delivery of model outputs and outcomes, which is crucial for this role.

How to prepare for a job interview at Michael Page Banking

✨Showcase Your Modelling Expertise

Be prepared to discuss your experience with risk modelling in detail. Highlight specific projects where you've developed or enhanced forecasting models, and be ready to explain the methodologies you used and the outcomes achieved.

✨Communicate Complex Concepts Clearly

Since this role requires explaining complex modelling concepts to non-technical stakeholders, practice articulating your work in simple terms. Use examples from your past experiences to demonstrate how you've successfully communicated these ideas.

✨Demonstrate Collaborative Skills

This position involves working closely with various teams. Be ready to share examples of how you've built collaborative relationships in previous roles, particularly in a matrix working environment, and how that contributed to successful project outcomes.

✨Prepare for Technical Questions

Expect technical questions related to data analysis tools and programming languages like Python, R, or SAS. Brush up on your knowledge and be ready to discuss how you've applied these tools in your modelling work.

Asset Risk Senior Modeller
Michael Page Banking
Location: London
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