Suva Mitarbeitende in einer Sitzung

Quant Analyst Asset Allocation In Lucerne

A career at Suva is much more than just doing a job. You can be engaged and take responsibility with us. You set an example in the prevention of accidents and make a personal contribution to the safety of the population at work and at leisure. Be part of an organization that is a role model for accident prevention and that ensures safety at work and during leisure time – along with around 4,200 other employees. We offer a stable and modern working environment. Let us surprise you and grow with us.

The Asset Allocation Team develops the strategic asset allocation for Suva’s investment portfolio of over CHF 50 billion, which is invested globally in a broad range of asset classes. This includes asset-liability modelling, portfolio construction as well as qualitative research. In addition, the team manages and implements the tactical asset allocation based on quantitative and fundamental research as well as a portfolio of systematic investment strategies.

What awaits you

  • Contribution to the development of the strategic asset allocation
  • Support in the analysis and management of the tactical asset allocation based on quantitative and fundamental research
  • Research, development and implementation of cross-asset-systematic trading strategies
  • Further development of the infrastructure for investment analysis, trading, position management and risk management
  • Present investment ideas and strategies in the team and in written reports

What we expect

  • University degree in natural sciences/engineering or economics/finance
  • Further certification such as CFA/AZEK is a plus
  • 1-4 years of work experience in the asset management industry, quantitative work experience preferred
  • Strong financial modelling and analytical skills
  • Very good programming skills in Python (or similar), SQL, VBA and the ability to autonomously develop stable frameworks to improve team workflows
  • Knowledge of financial markets, instruments and trading preferred
  • Know-how in data science and machine learning techniques is a plus

What we offer

  • A base to develop and grow on. Personally, as a team and for the company.
  • Modern working conditions at Suva means: a work-life balance that is lived, a partnership-based business, an excellent working environment.
  • Appreciation is not a hollow phrase at Suva. It can be felt every day from management and fellow employees.
  • A corporate culture characterized by respect, fairness and transparency.

Who is looking forward to meeting you

Matthias Moch
Head Asset Allocation

Directly: +41 41 419 61 52

Your future workplace