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Posted on Nov 5
Our client is a global financial company with its HQ in the United States. They specialize in credit rating and also are a provider of financial analysis software and services. There focus is on the capital markets providing credit ratings, research, tools and analysis. Globally, revenues are 5 billion, 15,000 employees worldwide in almost 50 countries.
Due to expansion, they are seeking to add headcount in NYC and London. The goal is to help support The EMEA Insurance Sales Team to provide technical advisory and drive client engagements across EMEA.
Understanding insurers’ needs in terms of asset allocation, capital modelling, and valuation.
Undertake detailed demonstrations and presentations, and performing bespoke analysis to map business needs/challenges with the different solutions offered by company.
Proactively work with prospective clients through the advisory and sales process, providing technical assistance and guidance as required.
ALM, Portfolio Optimization, ESG, IFRS17, Solvency 2, Internal Models, Capital Management, Stress Testing, ORSA
Work with current clients to understand their requirements and demands in detail – either meeting these directly, or interacting with other internal teams (e.g. Product Management; Quantitative Research) to provide the required service/response.
Advise clients on appropriate functionality, model choices and techniques, company calibration methodologies and upcoming solutions and model developments, to help them make the best use of company’s offerings.
Undertake bespoke analysis to better map prospective clients’ business needs and challenges to company’s tools and services.
Provide training and support to company products, models and calibrations as part of the sales process
Contribute to thought leadership initiatives
Support new clients through the post-sales implementation period.
Up to 50% travel (as needed).
Insurance ERS business of the company, provides world-class risk modelling solutions to the financial services industry around the globe. Their product suite and advisory capability allows its clients to understand and model economic and asset price uncertainty, helping them to improve their understanding of both short- and long-term financial market risk exposure and pricing
A good first degree and either a relevant post-graduate qualification (PhD or MSc) or strong quantitative skills. Actuarial student preferred.
Fluency in English is required and in another European language preferable.
Relevant life insurance market experience.
Candidates should be familiar with Monte Carlo simulation techniques and Stochastic calculus.
Excellent interpersonal skills, including the ability to communicate with teams from different backgrounds and at all levels.
Experience in life insurance and an understanding of the current regulatory environment as well as an appreciation for regulatory changes such as Solvency II or IFRS17. Either directly from industry or from consultancy.
Strong understanding of life insurance products, features and management strategies; some familiarity with the technical ALM modelling challenges and/or capital modeling challenges faced by the industry and the range of approaches being adopted to meet these challenges.
Experience in using, implementing or reviewing company stochastic asset models, or from other market providers of stochastic asset models would be highly preferred
Track record in the delivery of small projects or well-defined parts of larger projects, either in consultancy or within an insurance company (e.g. managed part of financial reporting process).
Good knowledge of Excel/VBA.
Communicate proactively at technical levels internally and externally.
Pragmatic approach to problem solving.
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