At a Glance
- Tasks: Model and analyse financial data to drive innovative insurance solutions.
- Company: Join Swiss Re, a leader in reinsurance and risk management.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on inclusivity and innovation.
- Why this job: Make a real impact in the financial market with your analytical skills.
- Qualifications: STEM background with programming experience in quantitative modelling.
The predicted salary is between 46000 - 70000 £ per year.
Are you passionate about financial modeling and data analytics in the reinsurance space? Join our dynamic team where your analytical skills will directly contribute to our ambitious growth strategy! We're seeking a detail-oriented Financial Transactions Modeler who can translate complex financial data into actionable insights that drive our Financial Solutions portfolio forward.
About the Role
As a Financial Transactions Modeler, you'll be at the intersection of financial markets and insurance, helping manage sophisticated portfolios that are key to Swiss Re L&H growth strategy. You'll apply your quantitative expertise to model, analyze, and optimize our financial market transformation portfolios.
Key Responsibilities
- Develop and maintain stochastic cashflows models for bespoke insurance transactions exposed to financial market risks, with focus on Variable Annuities, GMxB, and Index-Linked portfolios.
- Analyze biometric and policyholder behaviour experience to support assumption updates.
- Support the onboarding of new transactions with technical precision and attention to detail.
- Perform regular ad-hoc investigations into existing processes and data (policy data, P'L attribution, reserving, etc.).
- Collaborate with cross‑functional teams across Swiss Re to improve management of financial and biometric exposures.
About the Team
You’ll be joining the Financial Market Portfolios team within Life & Health Transactions. Our team plays a crucial role in supporting the portfolio growth of Financial Solutions as part of Swiss Re L&H growth strategy. We work closely with multiple stakeholders including L&H Structured Solutions, L&H Pricing & Structuring, Quantitative Analytics, Risk Management, Finance, Treasury, and Asset Management to deliver innovative financial solutions that drive business growth and manage risk effectively.
About You
You’re a curious, analytical thinker with strong technical abilities and a drive to understand underlying patterns in complex data. You thrive in collaborative environments where you can apply your quantitative skills to solve real business challenges. You’re results‑oriented and excited about contributing to business growth through data‑driven insights.
We are looking for candidates who meet these requirements:
- Academic background in STEM with hands‑on quantitative programming experience, preferably in Quantitative Finance, Statistics, Physics, or Computer Science.
- 4+ years of programming and debugging experience in quantitative modelling or analytics (preferably in C, C++, Java, Python).
- Experience with stochastic modelling, preferably of financial market risks and insurance cashflows.
The following experience would be particularly valuable:
- Variable Annuities, GMxB, and Index‑Linked products.
- Working knowledge of financial markets and financial mathematics.
Additional experience that would be an advantage:
- Biometric experience studies, preferably using R or Python.
- Insurance structuring and pricing.
- Liability modelling with actuarial platforms such as Prophet/FIS IRS, AXIS, or MoSes/RAFM.
- Actuarial qualification or progress towards it.
- IFRS 17, IFRS 9 and regulatory frameworks.
- Collaboration with Valuation, Treasury, Risk Management, Asset Management.
Compensation & Work Model
The base salary range for this position is between GBP 46,000 and GBP 70,000 (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. Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.
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. We cover both Property & Casualty and Life & Health. 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. We may use AI‑powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying. Start your career journey with Swiss Re.
Financial Transactions Modeler (hybrid) in Folkestone employer: Swiss Re - Schweizerische Rückversicherungs-Gesellschaft
Swiss Re is an exceptional employer that fosters a collaborative and inclusive work culture, where your analytical skills as a Financial Transactions Modeler will directly contribute to our ambitious growth strategy in the reinsurance sector. With a strong focus on employee development, we offer numerous opportunities for professional growth and innovation, all within a hybrid work model that promotes flexibility and work-life balance. Join us in a dynamic environment where your contributions will help shape the future of financial solutions and make a meaningful impact on global resilience.
Contact Details:
Swiss Re - Schweizerische Rückversicherungs-Gesellschaft Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Financial Transactions Modeler (hybrid) in Folkestone
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, 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 and showcasing your analytical skills. Think about how your experience with financial modelling can solve real business challenges at Swiss Re.
✨Tip Number 3
Showcase your passion for data analytics! During interviews, share specific examples of how you've used your quantitative expertise to drive results. This will help us see how you can contribute to our growth strategy.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Swiss Re.
We think you need these skills to ace Financial Transactions Modeler (hybrid) in Folkestone
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Financial Transactions Modeler role. Highlight your quantitative programming experience and any relevant projects that showcase your analytical prowess.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about financial modeling and data analytics in the reinsurance space. Share specific examples of how you've used your skills to drive results in previous roles.
Showcase Your Technical Skills:Since we're looking for someone with strong programming abilities, be sure to mention your experience with languages like C, C++, Java, or Python. If you've worked on stochastic modelling or financial market risks, let us know!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at Swiss Re - Schweizerische Rückversicherungs-Gesellschaft
✨Know Your Financial Modelling Inside Out
Make sure you brush up on your financial modelling skills, especially in relation to stochastic cashflows and the specific products mentioned like Variable Annuities and GMxB. Be ready to discuss your past experiences with these models and how you've applied them in real-world scenarios.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical thinking by discussing complex data sets you've worked with. Think of examples where your insights led to significant business decisions or improvements, particularly in the context of financial markets and insurance.
✨Familiarise Yourself with Cross-Functional Collaboration
Since this role involves working with various teams, be prepared to talk about your experience collaborating with different departments. Highlight any projects where you successfully partnered with stakeholders from finance, risk management, or asset management to achieve a common goal.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company and the role. Inquire about the team's current challenges in managing financial exposures or how they approach innovation in financial solutions. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
