Senior Quantitative Analyst – Hybrid, Global Growth

Willis Towers Watson; Lisboa; Híbrido; EUR 55 000 - 85 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid & flexible working

Competitive salary

Global exposure

Career growth

Collaborative culture

Team & corporate events

Resumo da oferta

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.

Qualificações

• Bachelor's or Master's in a quantitative field as listed.
• Experience in quantitative modelling with exposure to stochastic economic modelling.
• Programming knowledge: Python and C#; willingness to develop further.
• Strong analytical and problem-solving skills; communicate findings clearly.
• Ability to work in a hybrid working environment.

Responsabilidades

• Develop expertise in stochastic models underpinning our economic scenario generators.
• Support model development and calibration, including automation.
• Build knowledge of asset classes and modelling approaches.
• Prepare and deliver client outputs and documentation.
• Support clients with queries, training, investigations; mentor juniors.

Conhecimentos

Python

C#

Stochastic modelling

Quantitative modelling

Formação académica

Bachelor's or Master's degree in a quantitative field

Descrição da oferta de emprego

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.