- Edinburgh, Scotland, United Kingdom
- Permanent, Full time
Director - Research
Location: Edinburgh, Scotland, United KingdomWe are looking for a qualified actuary to take a leading role in developing and implementing quantitative modelling solutions for our insurance clients.
The successful candidate will be actively engaged in supporting research and development related to our IFRS 17 solutions. The ideal candidate will have had previous experience with IFRS 17 or other reporting processes within insurance companies, alongside understanding other key functions such as actuarial department and risk management functions.
Working within the Insurance Research team, you will:
- Actively engage with clients to identify problems of interest to the insurance sector requiring quantitative modelling solutions, in particular relating to IFRS 17.
- Collaborate with clients and colleagues to develop and deliver innovative research and advisory solutions to these problems.
- Provide expert actuarial knowledge (e.g. products, practices and regulatory requirements) as input to the team's research and advisory activities.
- Provide regular contributions to the team's white paper series.
- Promote Moody's Analytics position as a leader in quantitative insurance modelling, via external publication and conference speaking.
- Work with colleagues in research and product management to prioritize and plan research activities.
The Insurance Research team is responsible for the generation of thought-leadership on the application of our IP to emerging challenges in global insurance and pensions. The team produces a regular series of white papers on topical issues in risk and capital assessment and capital management in insurance and pensions, and works with clients on technical advisory projects to pilot the application of these new techniques. The team also provides technical resource for Insurance Services projects that involve implementing quantitative models.
- Qualified actuary (FIA/FFA or equivalent)
- Lengthy experience in the life insurance industry, gained in an insurance company or actuarial consultancy.
- Extensive practical experience in the application of stochastic modelling techniques to insurers' valuation, capital and risk management problem; Specific experience in the application of economic scenario generators and liability proxy modelling techniques highly desirable.
- In-depth knowledge of European life insurance products, regulation and modelling methodologies.
- Good understanding of IFRS 17 (or financial reporting process) requirements, analysis and methodologies
- Ability to present complex technical solutions in simple terms
- Undergraduate degree in highly quantitative subject (e.g. mathematics, physics)
- Broad understanding of modern financial mathematics (e.g. option pricing, hedging, stochastic processes, Monte Carlo simulation, interest-rate modeling)
Moody's is an essential component of the global capital markets, providing credit ratings, research, tools and analysis that contribute to transparent and integrated financial markets. Moody's Corporation (NYSE: MCO) is the parent company of Moody's Investors Service, which provides credit ratings and research covering debt instruments and securities, and Moody's Analytics, which offers leading-edge software, advisory services and research for credit and economic analysis and financial risk management. The Corporation, which reported revenue of $3.6 billion in 2016, employs approximately 10,700 people worldwide and maintains a presence in 36 countries. Further information is available at www.moodys.com.
Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation or any other characteristic protected by law.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.