Moody's is seeking quantitative graduates for a unique graduate program in their Insurance Solutions team in Edinburgh, focusing on stochastic modeling, financial mathematics, and risk analytics across insurance, asset management, and economic forecasting sectors.
Primary responsibilities include supporting Moody's Analytics Scenario Generator (SG), a market-leading stochastic modeling solution used in life/general insurance, asset management, and wealth/pensions industries. Graduates will work on projecting and forecasting financial and economic variables like interest rates, inflation, exchange rates, and equity indices using textbook and proprietary stochastic models.
Required skills include strong financial mathematics background (derivative pricing, interest-rate modeling, econometrics, stochastic processes), excellent problem-solving abilities, strong interpersonal communication skills, and the ability to meet deadlines while maintaining high standards. Candidates with degrees in Actuarial Science, Mathematics, Statistics, or Physics are preferred, with experience in Monte-Carlo simulation being advantageous.
The role offers a comprehensive one-month training program led by top developers, scientists, and product managers, followed by a rotation program providing hands-on experience across various teams and disciplines. Moody's commits to supporting career development, offering opportunities to enhance technical expertise, problem-solving abilities, and communication skills while working on cutting-edge financial modeling solutions.
