Job Description

About the role:

• Work with a multi-location team on valuation risk assessment covering various asset classes including fixed income, equity, insurance-linked derivatives, etc.
• Perform Independent Price Verification on various asset classes. Identify and analyse how changes in the market, inputs or methodologies can lead to uncertainties in valuations.
• Valuation risk assessment require good understanding of valuation drivers and methods.
• Work with large data sets using MS Excel.
• Produce valuation risk analysis reports on monthly basis to communicate the results to senior management.

About the team:

The Financial Model and Valuation Risk Management (FM&VRM) team primarily assess model risks and valuation risks. VRM squad is responsible for assessing the risks in valuations. It is responsible for performing Independent Price Verification (IPV) control, which formally assesses the quality of valuations and acts to correct any issues. The IPV process is a critical control function to ensure that fair valuations on financial market instruments reasonably reflect current markets as of a given date, providing confidence in the absence of material misstatements that could impact the financial balance sheet or decision-making processes. Valuation feed into our accounts, are at the core of P/L, determine the calibration of models, and form a key part of risk assessment. Inaccurate valuations distort the decision-making process, and so performing controls to ensure appropriate valuations are reported are an essential part of the firm's operations.

About you:

• 4+ years of experience in valuations/product control/quant finance/market risk. The ideal candidate would have experience with the independent price verification (IPV) or valuation control functions to determine whether assets are valued correctly and determine whether valuation adjustments are required for external financial reporting.
• Practical understanding of valuation models like discounted cashflow, no-arbitrage prices, Black-Scholes, etc.
• Strong academic background, preferably an undergraduate or master's degree in a quantitative discipline.
• CQF/CFA/FRM will be a plus.
• Exposure to financial technologies like Bloomberg, Refinitive will be an advantage.
• Strong communication skills are required as reporting and presenting analysis is a core part of the job.
• Good organisational skills, ability to meet tight deadlines.
• Possess proactive attitude and willingness to apply general technical knowledge to new situations.
• Exposure to any programming environment is a plus.

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 15,000 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.

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Reference Code: 138044