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For Companies At a Glance
- Tasks: Lead the development of innovative financial risk models from scratch.
- Company: Join a forward-thinking financial services team in London.
- Benefits: Enjoy a competitive salary, 20%+ bonus, and hybrid working options.
- Why this job: Make a real impact on major business decisions while collaborating with senior leaders.
- Qualifications: Strong background in data science, with experience in model building and statistical tools.
- Other info: Mentor junior analysts and engage with external experts to stay ahead in the field.
The predicted salary is between 54000 - 126000 £ per year.
Job Description
- Build game-changing forecasting models.
- Take the lead in developing complex financial risk models from the ground up.
- Hybrid role in London – minimum three days in the office per week.
If you’re the kind of data scientist who doesn’t just tweak models but creates them from the ground up, this is your chance to make a real impact. We’re looking for a commercially minded Senior Risk Modeller with a strong data science background to join a forward-thinking team shaping critical financial forecasts. In this role, you’ll take ownership of sophisticated models that help make major business decisions – from residual value forecasting to insurance pricing and economic capital.What you’ll be doing:It’s a role for someone who thrives on building and enhancing models from scratch, who can bridge the gap between complex statistical techniques and clear, actionable insights for stakeholders. You’ll work closely with senior leaders, collaborate across functions, and have a direct hand in strategic projects, all while enjoying the flexibility of hybrid working and the rewards of a generous bonus scheme.You’ll be part of a specialist Asset Risk Modelling Team, operating in a collaborative, matrix-style environment. Your work will include model development, enhancement, and delivering forecasting models while ensuring outputs are accurate, robust, and clearly communicated.You’ll partner with SMEs to own outcomes, mentor junior analysts, and engage with external experts to stay ahead of best practice. From modelling the impact of electric vehicle transitions to refining customer pricing models, your influence will be felt across the business… sound like you? Apply now!What experience you’ll need to apply:
- Solid track record in forecasting and data analysis/data science, with hands-on experience building and enhancing complex models from scratch
- Proficiency with statistical tools and programming languages such as R, Python, or SAS
- Experience leading complex model updates – both operational enhancements and full development projects – with the ability to clearly communicate outcomes to stakeholders
- Strong problem-solving skills, able to design creative and commercially strong modelling solutions
- Commercially aware, with a good understanding of market trends and the financial impact of modelling decisions
- A strong academic background (Bachelor’s or Master’s) in Statistics, Mathematics, Economics, Data Science, or a related discipline.
- Ability to manage multiple projects and stakeholders, prioritising effectively to meet deadlines
- Desirable: industry experience in sectors such as finance, automotive or similar, and exposure to advanced techniques like machine learning or predictive modelling
What you’ll get in return:A salary of up to £90,000 plus a 20%+ bonus, alongside a comprehensive benefits package. You’ll be working in the London office, a minimum three days per week and the rest remote.What’s next?Apply with your updated CV, and we’ll review your application as soon as possible to arrange a conversation. For any questions, just drop Tegan an email.
Senior Risk Modeller employer: ADLIB
Contact Detail:
ADLIB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Risk Modeller
✨Tip Number 1
Familiarise yourself with the latest trends in financial risk modelling. Understanding current market dynamics and how they impact forecasting models will help you stand out during discussions with our team.
✨Tip Number 2
Showcase your experience with specific programming languages like R or Python. Be prepared to discuss your hands-on projects where you've built models from scratch, as this is a key requirement for the role.
✨Tip Number 3
Highlight your problem-solving skills by preparing examples of complex modelling challenges you've faced. Being able to articulate your thought process and solutions will demonstrate your capability to lead model updates.
✨Tip Number 4
Network with professionals in the financial services sector. Engaging with industry experts can provide insights into best practices and may even lead to valuable connections within our company.
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 experience in building and enhancing complex financial risk models. Emphasise your proficiency with statistical tools like R, Python, or SAS, and showcase any relevant projects that demonstrate your problem-solving skills.
Craft a Compelling Cover Letter: Write a cover letter that connects your background in data science to the specific requirements of the Senior Risk Modeller role. Discuss your commercial awareness and how your modelling solutions have positively impacted previous employers.
Highlight Relevant Experience: In your application, focus on your track record in forecasting and data analysis. Mention any leadership roles you've had in model updates or development projects, and provide examples of how you've communicated outcomes to stakeholders.
Showcase Your Academic Background: Include details about your academic qualifications, particularly if you hold a degree in Statistics, Mathematics, Economics, or Data Science. This will help establish your credibility and expertise in the field.
How to prepare for a job interview at ADLIB
✨Showcase Your Modelling Skills
Be prepared to discuss specific models you've built from scratch. Highlight your hands-on experience with statistical tools like R or Python, and be ready to explain the methodologies you used and the outcomes achieved.
✨Communicate Clearly
Since the role involves translating complex statistical techniques into actionable insights, practice explaining your work in simple terms. This will demonstrate your ability to bridge the gap between technical details and stakeholder understanding.
✨Demonstrate Commercial Awareness
Research current market trends and be ready to discuss how they impact financial modelling decisions. Showing that you understand the commercial implications of your work will set you apart as a candidate who can contribute strategically.
✨Prepare for Problem-Solving Scenarios
Expect to face hypothetical scenarios during the interview where you'll need to showcase your problem-solving skills. Think about creative modelling solutions you've implemented in the past and be ready to discuss your thought process.
