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Willis Towers Watson in Lisbon seeks a senior quantitative analyst to join the SIMS team, developing financial models and supporting clients. The role blends project work with client-facing activities and teaches calibration of models, with opportunities for CFA or actuarial study support on a competitive package.
You will work in a small, collaborative team, with hybrid working and on-the-job training to deepen expertise in economic modelling and asset-class understanding.
We are looking for a senior quantitative analyst to join our Strategic Investment Modelling Solutions (SIMS) team. The SIMS team develops, sells and supports a range of financial modelling software including economic scenario generator models used by our insurance and pension scheme clients. The role will involve a mixture of projects developing our range of models and client-facing activities.We are undertaking a significant program of development and restructuring of our products and processes - the successful candidate will play a key role in this.
You will receive on-the-job training and support to familiarize yourself with our business, models and systems.You will quickly be involved in regular calibration of our models, preparing client deliverables and responding to client queries. You will also collaborate in research projects, model testing and implementation, while developing subject-matter expertise in economic modelling.
This role offers flexibility in working pattern so please do discuss your requirements with us on application.
You will be working in a small, collaborative team and you will be supported to apply your current skills and experience to our business. Depending on your previous experience we may offer support for study towards CFA or Actuarial qualifications, including a competitive package covering course materials and study days.
At WTW, you’ll join a motivating and dynamic team in an exciting, fast-growing European capital. Here’s what we offer:
We are committed to equal employment opportunities at Willis Towers Watson.