Quantitative Research Engineer (f/m/d)

Heute die Chancen von morgen erkennen. Ihre und unsere.

Bei Swiss Life Asset Managers bringen Sie Ihre individuellen Talente und Expertise in einem motivierten und flexiblen Arbeitsumfeld ein. Sie übernehmen ein hohes Mass an Verantwortung, meistern anspruchsvolle Herausforderungen selbstständig mit Gestaltungsspielraum und in Zusammenarbeit mit professionellen Teams.
Bei Swiss Life Asset Managers zu arbeiten, heisst Dynamik im stabilen Umfeld zu leben. Unsere Mitarbeitenden machen den Unterschied. Der Mensch zählt.
Flexible Arbeitsmodelle ermöglichen Ihnen berufliche und persönliche Ambitionen in Einklang zu bringen.

The Financial Engineering Team at Swiss Life Asset Managers in Zurich is seeking a motivated Quantitative Analyst to support AI projects for a limited period of 6-9 months. This initiative identifies efficiency, and growth projects and implements them through the formation of joint, cross-divisional teams.

This assignment opportunity is exclusively for Swiss Life Asset Managers employees.

The Financial Engineering team is the center 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 optimization techniques. It develops quantitative forecasting models to support the investment process or to perform strategic portfolio optimization. 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 optimization within client-specific constraints as part of our asset-liability management services. In this interdisciplinary and challenging environment, you will have the unique opportunity to grow professionally by developing new skills, learning about other fields, and collaborating with a new team. You will be at the forefront of building exciting solutions for our company and making an essential contribution in connecting the dots across our divisions. This role offers the flexibility to work largely remotely, without requiring relocation.

The addition of an existing expert to this team, who will be assigned from local departments for a limited period, could help bridge the limited capacities in the Financial Engineering Team. Interdisciplinary collaboration helps disseminate the acquired know-how across the SL AM divisions

Responsibilities

• Design and develop advanced agent-based AI applications.
• Application of machine learning algorithms to problems in asset management and finance
• 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
• Support of client meetings as a specialist

Experience

• MSc or PhD in applied mathematics, natural sciences, computer science, quantitative finance/economics
• Excellent knowledge of statistics, stochastic processes, numerical mathematics, numerical optimization
• Excellent knowledge of AI/Machine learning
• Strong programming skills in OOP languages, especially in Python
• Knowledge of web development, databases (SQL, NoSQL) desirable
• Basic experience with cloud infrastructure, CI/CD including containerization
• 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

The concept of temporary assignments for these projects is supported by all ExC members. If you feel addressed and meet the job requirements, please contact your supervisor to support your request, ensuring they understand the growth opportunity this role presents. The assignment process will involve coordination with the HR department to ensure a smooth and efficient transition.

Ihre Benefits​
Wir unterstützen unsere Mitarbeitenden, ihre berufliche Entwicklung und Lebensgestaltung über alle Lebensphasen hinweg optimal zu gestalten. Unsere attraktiven Vorteile tragen einen Teil dazu bei. 

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