Quant Risk Actuary, Capital Markets (80-100%) in London

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.