Asset Risk Senior Modeller

Asset Risk Senior Modeller

London Full-Time 60000 - 84000 £ / year (est.) No home office possible
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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 fast-paced industry.
  • Qualifications: Experience in risk modelling, data analysis tools, and excellent communication skills are essential.
  • Other info: Work three days a week in the office, fostering a vibrant team 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.

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.

Asset Risk Senior Modeller employer: Michael Page Banking

As an employer, our client stands out in the financial services sector for its commitment to employee growth and a collaborative work culture. Based in London, the Asset Risk Senior Modeller role offers competitive salary packages, generous annual leave, and a robust pension scheme, alongside opportunities to engage with innovative projects that directly impact the business strategy. With a focus on professional development and a supportive environment, this position is ideal for those seeking meaningful and rewarding employment in a thriving company.
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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

Network with professionals in the financial services and insurance sectors. Attend industry events or webinars to connect with potential colleagues and learn more about the latest trends in asset risk modelling.

✨Tip Number 2

Familiarise yourself with the specific modelling tools mentioned in the job description, such as Python, R, or SAS. Consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to the role.

✨Tip Number 3

Prepare to discuss your experience with capital modelling and forecasting models in detail during interviews. Be ready to provide examples of how you've successfully implemented these models in previous roles.

✨Tip Number 4

Research the company’s recent projects and achievements in the automotive financing and insurance sector. This knowledge will help you tailor your discussions and show your genuine interest in their operations and goals.

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

Risk Modelling
Capital Modelling
Forecasting Models
Data Analysis
Proficiency in Python
Proficiency in R
Proficiency in SAS
Attention to Detail
Problem-Solving Skills
Effective Communication
Stakeholder Engagement
Understanding of Regulatory Frameworks
Critical Thinking
Project Management
Collaboration Skills

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Asset Risk Senior Modeller position. Tailor your application to highlight relevant experience in risk modelling, capital modelling, and forecasting models.

Highlight Relevant Skills: Emphasise your proficiency in data analysis tools and programming languages such as Python, R, or SAS. Provide specific examples of how you've used these skills in previous roles to solve complex problems.

Communicate Effectively: Since the role requires explaining complex concepts to non-technical stakeholders, include examples in your application that demonstrate your ability to communicate clearly and effectively with diverse audiences.

Showcase Your Experience: Detail your proven experience in risk modelling within the insurance or financial services sector. Use quantifiable achievements to illustrate your impact in previous roles, particularly in relation to model health and operational delivery.

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 simplifying your explanations. Use relatable examples to demonstrate how your models impact business decisions and outcomes.

✨Demonstrate Collaborative Skills

This position involves working closely with various teams. Prepare examples of how you've successfully collaborated with others in previous roles, particularly in a matrix working environment, to achieve shared goals.

✨Stay Updated on Regulatory Frameworks

Familiarise yourself with the relevant regulatory frameworks that impact asset risk modelling. Be ready to discuss how these regulations influence your modelling practices and decision-making processes.

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