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    Valuation Risk Analyst - Bangalore, India - Swiss Re

    Swiss Re
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    Description

    About the team:

    The Financial Model and Valuation Risk Management (FM&VRM) team primarily assess model risks and valuation risks. The core mission of Valuation Risk Management (VRM) is to ensure that valuations reflected in financial statements are in line with accounting requirements and industry best practice. Inaccurate valuations distort the decision-making process, and so performing controls ensuring appropriate valuations are reported are an essential part of the firm's operations. To ensure the firm is utilizing appropriate valuations, we developed an Independent Price Verification (IPV) process that formally assesses the quality of our valuations and acts to correct any issues. 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.

    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 cash products like government bonds, corporate bonds, mortgage-backed securities, and financial derivatives like interest rate swaps, swaptions, caps and floors
    • 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 You:


    • 2-5 years of experience in valuations/product control/quant finance/market risk. The ideal candidate would have experience with the independent price verification (IPV) process to determine whether assets are valued correctly and determine whether valuation adjustments are required for external financial reporting.


    • Strong academic background, preferably an undergraduate or master's degree in a quantitative discipline.


    • CQF/CFA/FRM will be a plus


    • 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.

    Swiss Re embraces diversity and equal opportunity. We are committed to building an inclusive team that represents a variety of backgrounds, perspectives, and skills. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities, and experiences – at all levels and in all functions and regions


    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.


    Keywords:
    Reference Code: 127694


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