Moody’s Insurance Solutions Graduate Program 2025- Customer Success

Job title:

Moody’s Insurance Solutions Graduate Program 2025- Customer Success

Company

Moody’s

Job description

• 7 Exchange Crescent, Conference Square, Edinburgh, EH3 8RD, GB

Line Of Business: RMS(RMS)Entity: Moody’s Analytics(MA)At Moody’s, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.Skills and Competencies:A strong understanding of financial mathematics (e.g. derivative pricing, interest-rate modelling, econometrics, stochastic processes, Monte-Carlo simulation).

• Excellent interpersonal skills, including the ability to communicate with individuals/teams with different backgrounds and at all levels.
• Excellent problem-solving skills.
• Proven ability to hit deadlines while maintaining high standards.
• A customer-oriented mindset.
• Experience working within a financial institution (e.g. within an insurance company) is advantageous.
• Fluency in spoken and written English.

Preferred Skills and Competencies:

• MSc/PhD degrees in relevant fields.
• Working toward or completed actuarial/CFA/FRM or related qualifications.

Education:

• An undergraduate degree in a highly quantitative subject (e.g. Financial-Mathematics, Actuarial Science, Mathematics, Statistics, Physics).

Responsibilities:

• The role will involve a wide-variety of activities associated with supporting our SG-related products and services including:
• The production of high-profile services used by a large proportion of our customers focusing on the calibration of stochastic models to current and historical market data.
• The customization of models, their calibration approaches and our software to help solve customer-specific problems.
• Designing new models, model calibration techniques and other related research activities associated with our products and services.
• Developing, modifying and implementing bespoke tools/solutions to help with the production of customer services.
• Training customers on the technical aspects of our modelling and the use of our SG software.
• Answering technical questions from customers to help them understand our models, their calibration and other questions related to our products and services.

About the Graduate Program:As a graduate, you will establish a diverse and relevant career foundation-gaining insights into our business, exploring opportunities for career advancement, and refining your skills for future growth. Commencing in September 2025, you will join an international group of Moody’s Insurance Solutions graduates. The journey begins with a month-long training session led by our network of top developers, scientists, product managers, customer success experts, and clients. Subsequently, you will engage in our rotation program, obtaining hands-on experience within various teams and disciplines. These rotations will deepen your understanding of our products, their development processes, the companies that utilize them, and the value and insights they provide. Your work will span multiple products and markets, allowing you to enhance technical expertise, problem-solving abilities, and communication skills.About the Team/Role:Our highly-skilled and diverse team in Edinburgh focuses on a variety of activities associated with the Moody’s Analytics Scenario Generator (SG), a market-leading stochastic modelling solution widely used in the life/general insurance, asset management and wealth/pensions industries. The software has a variety of applications, all of which involve the projection/forecasting of a wide-range of financial and economic variables (e.g. interest rates, inflation, exchange rates, equity indices, bond returns, property prices) in all of the world’s major economies using a combination of textbook and in-house designed stochastic models. The rotation program will further give opportunity to work with solutions and customers in the wider Insurance Solutions offering, such as: actuarial modelling for life insurance products; and climate and catastrophe risk models for property insurance and related markets. The role would suit graduates with quantitative-based educational backgrounds in fields such as Actuarial Science, Mathematics, Statistics and Physics who would like to leverage and build upon their knowledge and skills to help solve complex real-world problems in the financial services sector. The roles will particularly appeal to those with a knowledge of stochastic modelling, Monte-Carlo simulation and financial-mathematics and/or those with higher-level quantitative degrees (e.g. MSc, PhD), but qualifications of this type and in these areas is not essential.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, gender expression, gender identity 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.For more information on the Securities Trading Program, please refer to the onPlease note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.

Expected salary

Location

Edinburgh

Job date

Wed, 23 Oct 2024 04:58:42 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (hiring-jobs.com) you saw this job posting.