Swiss Life Asset Managers

Quantitative Analyst


PayCompetitive
LocationZurich/Zurich
Employment typeFull-Time

This job is now closed

  • Job Description

      Req#: R06253

      Recognising tomorrow's opportunities today. Yours and ours.

      At Swiss Life Asset Managers you will contribute your own talent and expertise in a motivated and flexible working environment. You will take on a high degree of responsibility and master demanding challenges independently, with the scope to express yourself and in cooperation with professional teams.

      Working at Swiss Life Asset Managers is a dynamic experience in a stable environment. Our employees make the difference. People count.
      Flexible working models will enable you to reconcile your professional and personal ambitions.

      The Financial Engineering team is the centre of excellence for quantitative research within Swiss Life Asset Managers' portfolio management. The team is responsible for the analysis and development of systematic investment, security selection and hedging strategies, as well as portfolio construction and optimisation techniques. It develops quantitative forecasting models to support the investment process or to perform strategic portfolio optimisation. The unit works closely with portfolio managers during both the analysis and implementation phases of a strategy. Members of the team advise our institutional clients on portfolio optimisation within client-specific constraints as part of our asset-liability management services.

      In this interdisciplinary and challenging environment, we are looking for a motivated Quantitative Analyst (f/m/d). You will be based on the shores of Lake Zurich.

      Responsibilities

      • Analysis and optimization of client portfolios under given constraints and objectives within asset liability management optimizations

      • Analysis and implementation of portfolio optimization and portfolio construction techniques

      • Analysis and development of systematic investment and risk management strategies

      • Analysis and development of quantitative models to support investment processes

      • Application of machine learning algorithms to problems in asset management and finance

      • Support of client meetings as a specialist

      Experience

      • MSc or PhD in quantitative finance, computer science, applied mathematics, natural sciences

      • Excellent knowledge of statistics, stochastic processes, numerical mathematics, numerical optimisation, machine learning

      • Strong programming skills in OOP languages, especially in Python

      • Knowledge of databases (SQL, NoSQL) and containers (docker)

      • Experience in quantitative analysis or the financial industry desirable

      • Strong analytical skills, result oriented, self-motivated, eager to learn, team player

      • Able to communicate and present in a concise and clear manner adapting to the audience

      • Excellent English and German in word and writing is required, good knowledge of French is desirable

      Your benefits
      We help our employees shape their professional development and their private life to their best advantage, throughout all phases of their life. Our attractive benefits play a part in this effort.

      Your contact

      Nicole Bienz

      Tel:

      +41 43 547 69 07
  • About the company

      Swiss Life Asset Managers is a Swiss asset management firm.

Notice

Talentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at accessibility@talentify.io or 407-000-0000.

Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility.

An Automated Employment Decision Tool (AEDT) will score your job-related skills and responses. Bias-audit & data-use details: www.talentify.io/bias-audit-report. NYC applicants may request an alternative process or accommodation at aedt@talentify.io or 407-000-0000.