Job Title: Moody'S Insurance Solutions Graduate Program 2025- Customer Success
Company Name: Vadis Technologies
Location: Edinburgh: 7 Exchange Crescent, Conference Square, Edinburgh, EH3 8RD, GB
Hours / Days Of Work: not specified
Job Type: Full-Time
Salary: not specified
Job Description:
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.
Experience And Qualifications:
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:
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).
Application Process:
Apply via link below.
Social Media Links: