At a Glance
- Tasks: Develop and maintain quantitative risk methodologies for market and credit risk.
- Company: Join Swiss Re, a global leader in reinsurance and risk management.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real impact on financial risk management with cutting-edge methodologies.
- Qualifications: Degree in a quantitative field and experience in risk analysis or modelling.
- Other info: Collaborative environment with a focus on innovation and sustainability.
The predicted salary is between 72000 - 108000 £ per year.
About the team
Become part of Solvency and Financial Risk Management (SFRM) function. Our Methodologies team (part of the Financial Model Validation and Methodologies), 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, and 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: Swiss Re
Contact Detail:
Swiss Re Recruiting Team
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 folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions related to quantitative risk management. Brush up on your technical skills and be ready to discuss how you've tackled data challenges in the past.
✨Tip Number 3
Showcase your passion for the field! During interviews, share your enthusiasm for financial risk and any projects you've worked on that demonstrate your analytical skills. Let your curiosity shine through!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Quantitative Risk Manager (80-100%)
Some tips for your application 🫡
Show Off Your Quant Skills: Make sure to highlight your quantitative background and any relevant experience in risk, capital modelling, or data analysis. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your familiarity with financial concepts like IFRS 9 and your programming skills in R or Python. It shows us you’re genuinely interested!
Be Clear and Structured: When writing your application, keep it clear and structured. We appreciate a communication style that makes it easy to understand your analytical findings. This is key in our collaborative environment!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we’ll keep you updated via email, so check your spam folder if you don’t hear from us!
How to prepare for a job interview at Swiss Re
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss your experience with risk modelling and capital frameworks. Be prepared to explain how you've applied analytical methods in past projects or studies, especially if they relate to market or credit risk.
✨Show Off Your Tech Skills
Familiarise yourself with programming tools like R, Python, or SQL. During the interview, mention any relevant projects where you used these tools to analyse data or build models. This will demonstrate your technical prowess and eagerness to learn more.
✨Communicate Clearly
Practice explaining complex concepts in a straightforward manner. You might need to describe your analytical findings to non-technical stakeholders, so being able to communicate clearly is key. Think of examples where you've successfully done this before.
✨Be Curious About Capital Markets
Show your enthusiasm for capital markets and financial risk. Prepare some questions about the company's methodologies and how they tackle real-world challenges. This not only shows your interest but also your proactive approach to learning and contributing.