Asset Risk Senior Risk Modeller

🔒 Confidential Employer
Posted 7 May 2026
LOCATION
London
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Data & Analytics
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Statistical Modeling Python R SAS Data Analysis Forecasting Project Management Communication

FULL DESCRIPTION

Asset Risk Senior Risk Modeller

Location: London | Company: [Employer hidden — sign up to reveal] | Salary: Not Specified | Hybrid working

About The Role

The Asset Risk Senior Risk Modeller role sits in the Asset Risk Function, which has the responsibility for forecasting [Employer hidden — sign up to reveal]'s key financial risks, including Residual Value and SMR, Insurance Lease Pricing, Economic Capital, as well as producing the customer pricing. This 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 SME's.

Reporting into the Asset Risk Modelling Manager, the role has the following key responsibilities:

  • Proactively support and inform the delivery of the Asset Risk strategy in alignment with the needs of the wider business strategy.
  • 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.
  • Take the lead and proactively engage with critical thinking and operational activity needed for accurate and timely delivery of critical BAU requirements for all key models associated with residual value forecasting, maintenance spend, insurance, customer pricing, and economic capital.
  • Maintain a deep understanding of and be responsible for challenging model components - design principles, use of data, assumptions, applied statistical and modelling techniques – for BAU models.
  • Take the lead and proactively engage with critical thinking and activity required to deliver strategic projects from the Modelling team.
  • Work with the Modelling Lead to ensure the Modelling Team are engaged with explaining and owning outputs and outcomes.
  • Proactively challenge the way we work and feed into the Asset Risk Strategy roadmap.
  • Form collaborative relationships to ensure Model Team deliverables are effectively managed in a matrix way of working.
  • Play a pivotal role in ensuring AR Operational Teams work closely together.
  • Be an effective coach and mentor for the wider Modelling Team.
  • Be an advocate for Asset Risk and promote best practices.
  • Develop collaborative relationships with leadership and stakeholders.
  • Proactively engage with relevant 3rd parties to align with external best practice.

About You

Key skills and experience required:

  • Planning: Ability to coordinate multiple stakeholders, colleagues and deadlines.
  • Modelling: Ability to understand, operate, and explain complex models.
  • Accuracy & attention to detail: Ensuring accuracy in models and forecasts.
  • Problem solving skills: Ability to develop solutions for complex financial problems.
  • Communication skills: Can explain technical concepts to non-technical stakeholders.
  • Commercial awareness: Understand business environment, market trends, and financial impact.

Minimum criteria:

  • A degree (Bachelor’s or Masters) in Statistics, Mathematics, Economics, Data Science, or a related field.
  • Experience in forecasting, data analysis, or a related field.
  • Experience of delivering complex model updates with effective communication of model outcomes.
  • Proven experience with statistical software (e.g., R, Python, SAS) and forecasting tools.
  • Experience managing complex projects and coaching analysts.

Desirable criteria:

  • Experience in the specific industry relevant to the forecasting role (e.g., finance, retail, manufacturing).
  • Experience with advanced analytical techniques, including machine learning and predictive modelling.

About The Company

[Employer hidden — sign up to reveal] is a unique organisation, virtually one of a kind. We combine a strong sense of purpose with a real commercial edge to ensure we provide the best possible worry-free mobility solutions to over 800,000 customers and their families across the UK. Customers exchange their higher rate mobility allowance to lease a range of affordable vehicles (cars, wheelchair accessible vehicles, scooters, and powered wheelchairs) with insurance, maintenance and breakdown assistance included. We are the largest car fleet operator in the UK (purchasing around 10% of all the new cars sold in the UK) and work with a network of around 5,000 car dealers and all the major manufacturers. We pride ourselves on delivering outstanding customer service, achieving an independently verified customer satisfaction rating of 9.8 out of 10.

Our values are at the heart of everything we do: We find solutions, We drive change, We care.

We operate hybrid working across the organisation where we split our time between working on-site at our offices, and at home, remotely within the UK. We believe hybrid working achieves a good work/life balance for our colleagues.

As a [Employer hidden — sign up to reveal] team member, the benefits you can expect are: competitive reward package, annual discretionary bonus, 15% non-contributory pension, 28 days annual leave, private medical insurance, electric/hybrid car salary sacrifice scheme, cycle to work scheme, life assurance, and many more.

At [Employer hidden — sign up to reveal], we believe in building a diverse workforce and encourage people from all backgrounds to apply.

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