Valuation Risk Senior Analyst

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