TEAM QUANTITATIVE ANALYTICS
As an experienced consultant in Quantitative Analytics you are responsible for making our clients successful in a quantitative way. You understand better than anyone what needs to happen at the client in this area. This makes you a well-known expert within our top 200 client network.
You help to solve our clients' business issues and perform interim projects at the intersection of data, finance and analytics. Your responsibilities range from data collection and model development to validating and calibrating forecasts.
You develop quantitative models for operational, actuarial, risk and pricing purposes. You use copulas, regressions, time series and AI to make our clients more succesful. Every project is a new challenge. This is why your day-to-day responsibilities include:
What you bring
We are looking for experienced quantitative analysts, modellers and actuaries with different quantitative backgrounds, experiences, and passions. It speaks for itself that you are ambitious, self-reflective and dare to be confident in an authentic way.
Furthermore, you are energized by stakeholder management and are well adept at gathering reliable information. You use this in combination with a consultive mindset to make our clients more successful.
What we offer
You will not only have the opportunity to broaden your experiences and deepen your skills, but also to develop yourself into a senior or management position. You'll get a fast-paced work environment with driven colleagues who share the same mission and interest in building successful teams by leveraging their expertise in quantitative modelling and actuarial reporting.
By offering free lunch at the office and regular fun team activities like escape rooms and fun dinners, we ensure a connected and social workplace.
Also important; we will provide you with a public transport card and/or (electric) bike. All on us of course.
Convinced you've found the perfect job? Good to hear. We just need some information and will contact you within 2 working days.