At a Glance
- Tasks: Develop and maintain risk methodologies for market and credit risk assessment.
- Company: Join Swiss Re, a global leader in reinsurance and risk management.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and sustainability.
- Why this job: Make a real impact on financial risk management with cutting-edge quantitative methods.
- Qualifications: Degree in a quantitative field and experience in risk analysis or capital modelling.
The predicted salary is between 72000 - 108000 £ per year.
Become part of Solvency and Financial Risk Management (SFRM) function. Our Methodologies team, based in London, is responsible for specifying, developing and maintaining risk methodologies used by SFRM in the field of market and credit risk capture and accumulation. The team also works to develop and maintain the risk methodologies used by FRM to examine the risk of its assets and liabilities and works closely with IT to provide robust platforms to enable SFRM’s work.
About You
- You have a quantitative background, with a degree in Mathematics, Statistics, Finance, Engineering, or another analytical discipline.
- You may be working toward an actuarial or professional qualification or are keen to develop further in this direction.
- You have some experience or exposure to risk, capital modelling, or quantitative analysis — ideally within the (re)insurance or financial industry.
- You enjoy working with data, have good analytical skills, and are comfortable exploring large and complex datasets.
- You have basic experience in programming tools such as R, Python, or DAX, and are enthusiastic about building your technical skills further.
- You have a foundational understanding of financial and accounting concepts, such as IFRS 9, IFRS 17, and SST.
- You are curious about capital markets and financial risk, and eager to apply quantitative methods to real-world risk management challenges.
- You are a self-starter who learns quickly, enjoys problem-solving, and works well in a collaborative, technical environment.
Preferred
- Exposure to risk modelling, capital model frameworks, or financial data analysis (through prior work, projects, or study).
- Familiarity with reinsurance products or capital market instruments.
- Interest in data visualization or reporting tools such as Power BI or Shiny.
- Basic understanding of SQL or other database tools.
- Clear and structured communication style, with the ability to explain analytical findings to others.
Responsibilities
- Contribute to the development of quantitative methodologies for assessing credit and market risk across Swiss Re’s reinsurance and capital markets portfolios.
- Support the design and documentation of model specifications, including data requirements, model assumptions, and validation criteria.
- Assist in building and maintaining prototype datasets and risk factor feeds for the internal capital model, ensuring alignment with finance system structures and accounting standards.
- Conduct quantitative analysis and testing to evaluate portfolio risk sensitivities and support enhancements to risk measurement systems.
- Support new product assessments, including parameter estimation, stress testing, and scenario analysis related to credit and market risk.
- Collaborate with senior risk managers and system developers to ensure consistent implementation of methodologies.
The base salary range for this position is between 72,000 GBP and 108,000 GBP (full time equivalent). The specific salary offered considers: the requirements, scope, complexity and responsibilities of the role; the applicant's own profile including education/qualifications, expertise, specialisation, skills and experience.
About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
Quantitative Risk Manager (80-100%) employer: Crossell
At Swiss Re, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our hybrid work model allows for flexibility while ensuring that our teams are empowered to drive impactful change in the insurance industry. With competitive salaries, performance-based bonuses, and a strong focus on career development, we are committed to attracting and retaining top talent in Folkestone, making it a rewarding place to grow your career.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Risk Manager (80-100%)
✨Tip Number 1
Network like a pro! Reach out to professionals in the industry through LinkedIn or local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to quantitative risk management. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills! Create a portfolio of projects or analyses you've worked on, especially those involving data visualisation or risk modelling. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Quantitative Risk Manager (80-100%)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Quantitative Risk Manager role. Highlight your quantitative background, programming skills, and any relevant projects or work experience in risk management.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about risk management and how your background makes you a great fit for our team. Be sure to mention specific methodologies or tools you've worked with that relate to the job description.
Showcase Your Analytical Skills:In your application, provide examples of how you've used data analysis to solve problems or improve processes. We love seeing candidates who can demonstrate their analytical prowess through real-world applications.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure you receive updates from us!
How to prepare for a job interview at Crossell
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific methodologies you've worked with. Be prepared to explain how you’ve applied statistical techniques or programming tools like R or Python in real-world scenarios.
✨Understand the Risk Landscape
Familiarise yourself with current trends in market and credit risk, especially within the reinsurance sector. Show your curiosity about capital markets and be ready to discuss how you would approach risk management challenges using quantitative methods.
✨Communicate Clearly
Practice explaining complex analytical findings in a straightforward manner. You might be asked to present your thoughts on a risk model or analysis, so ensure you can articulate your ideas clearly and concisely.
✨Show Enthusiasm for Learning
Demonstrate your eagerness to develop further in your career, whether it’s through pursuing actuarial qualifications or mastering new programming languages. Highlight any relevant projects or experiences that showcase your commitment to continuous improvement.
