Data Scientist H/F at Swiss Life Asset Managers | FRA | Rezi

Data Scientist H/F at Swiss Life Asset Managers

Data Scientist H/F

Swiss Life Asset Managers · FRA

1 months ago

Data Scientist H/F

Swiss Life Asset Managers · FRA

2 months ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

The Financial Engineering team is a quantitative research center of excellence within Swiss Life Asset Managers' portfolio management. It is responsible for analyzing and developing systematic investment strategies, security selection, hedging, and portfolio construction/optimization techniques. The team designs quantitative forecasting models to support investment processes and strategically optimize portfolios, collaborating closely with portfolio managers. Team members advise institutional clients on portfolio optimization, considering specific constraints for active-passive management services. This role offers professional development, new skill acquisition, and collaboration within an interdisciplinary and stimulating environment, focusing on creating innovative solutions and connecting divisions. A key research area is applying machine learning methods to asset management and finance. The team is based in Zurich with a branch in Paris, and projects are often conducted jointly with Zurich team members. This role is for a motivated data scientist/quantitative analyst.

Responsibilities

  • Apply machine learning algorithms to asset management and finance problems.
  • Analyze and optimize client portfolios under defined constraints and objectives for active-passive optimizations.
  • Analyze and implement portfolio optimization and construction techniques.
  • Analyze and implement systematic investment and risk management strategies.
  • Provide technical support during client meetings.

Requirements

  • Master's or PhD in applied mathematics, natural sciences, computer science, or quantitative finance/economics.
  • Initial experience with cloud infrastructures and CI/CD practices, including containerization.
  • Experience in quantitative analysis or the financial sector is a plus.
  • Experience with Azure cloud services and infrastructure-as-code (e.g., Terraform).

Skills

  • Statistics
  • Stochastic processes
  • Numerical mathematics
  • Numerical optimization
  • Artificial intelligence
  • Machine learning
  • DevOps
  • Bash scripting
  • Automation
  • CI/CD practices (Jenkins, Docker, Bitbucket Pipelines, Azure DevOps)
  • Python packaging systems
  • Analytical capacity
  • Results-orientation
  • Autonomy
  • Curiosity
  • Team spirit
  • Clear and synthetic communication
  • Clear and synthetic presentation skills
  • English (oral and written)
  • French (oral and written)
  • German (asset)

Location

  • Paris
  • Zurich

Education Level

  • Master's degree
  • PhD

About the Company

  • Swiss Life Asset Managers France is the asset management entity of Swiss Life Asset Managers in France.
  • The company has 280 employees and EUR 56.7 billion in assets under management (as of 30/06/2022).
  • It offers investment and savings solutions in securities, real estate, and infrastructure for the Swiss Life Group and third-party clients.
  • Swiss Life enables people to lead a self-determined life and look to the future with confidence.
  • Swiss Life Asset Managers thinks long-term and acts responsibly, developing future-oriented investment solutions.
  • It supports customers in achieving long-term investment objectives, considering client needs for financial planning.
  • Swiss Life Asset Managers is one of the most successful Swiss asset managers in the European insurance sector.
  • It provides asset management services in Switzerland, France, Germany, Luxembourg, and the UK.
  • It manages insurance assets for the Swiss Life Group and assets of third-party clients.
  • Employees are valued, and the company offers a dynamic experience in a stable working environment.