Quantitative Research Engineer (f/m/d)

Overview

Join to apply for the Quantitative Research Engineer (f/m/d) role at Swiss Life Asset Managers . Location: Zurich (limited remote). Team across two sites: Zurich and Paris. Full-time. The Financial Engineering team serves as the center of excellence for quantitative research and artificial intelligence within Swiss Life Asset Managers\‘ portfolio management. We design and analyze systematic investment strategies, security selection models, hedging approaches, and advanced portfolio construction and optimization techniques. We develop quantitative forecasting models to enhance the investment process and support strategic portfolio optimization. The team collaborates with portfolio managers throughout analytical and implementation phases, and we advise institutional clients on portfolio optimization within client-specific constraints as part of asset-liability management services. We also develop AI-driven applications deployed across the organization to improve efficiency and decision-making. The role offers opportunities to grow professionally by developing new skills, learning about other fields, and collaborating with a new team.

Location: Zurich (limited remote). Team across two sites: Zurich and Paris. We are looking for a motivated Quantitative Research Engineer (f/m/d) , whose tasks will include:

Responsibilities

• Designing and developing advanced AI applications, including LLM-based agentic systems for process automation and decision-making.
• Analyzing and optimizing client portfolios under specific constraints and objectives as part of asset-liability management.
• Implementing portfolio construction and optimization techniques.
• Developing and deploying systematic investment and risk management strategies.
• Building quantitative models to support investment decision-making processes.
• Supporting the team in client presentations and meetings (with growing responsibility).
• Applying machine learning algorithms to solve challenges in asset management and finance.

Experience & Qualifications

• MSc or PhD in applied mathematics, natural sciences, computer science, or quantitative finance/economics.
• Strong background in AI and machine learning methodologies.
• Solid foundation in statistics, stochastic processes, numerical mathematics, and optimization techniques.
• Strong hands-on OOP in Python; comfortable across the Python data/ML stack (pandas, NumPy/SciPy, scikit-learn, Pydantic, FastAPI, etc.).
• Familiarity with cloud infrastructure and CI/CD practices, including containerization.
• Strong analytical and problem-solving skills; results-oriented, self-motivated, eager to learn, and a collaborative team player.
• Ability to communicate and present complex topics clearly and concisely, adapting to different audiences.
• Fluency in English is required; good knowledge of German and/or French is a plus.

Strong Assets (Preferred but Not Required)

• Experience in the financial industry.
• Hands-on experience in AI development, including prompt/context engineering.
• Software engineering skills and ability to develop and deploy complex software projects
• Experience in developing modern JavaScript/TypeScript frontends with frameworks (e.g. React).
• Familiarity with Azure cloud services and infrastructure-as-code tools (e.g., Terraform).
• Advanced DevOps capabilities, including Bash scripting, automation, and CI/CD practices (e.g., Jenkins, Docker, Bitbucket Pipelines, Azure DevOps, Python packaging systems).
• Experience in leveraging AI for coding.

Benefits

• Discounts on SL investment products and mortgages
• Remote Work Abroad options
• Inhouse AM Academy with broad range of development opportunities
• Contribution to 3rd pillar life insurance
• Employer\’s contributions to the pension fund
• Reka cheques and meal allowance
• Discounts on public transportation (up to 35%)
• Flexible working models
• Various timeout models
• Working time models from 58 years of age offerings

About Swiss Life Asset Managers

We are a leading European asset manager and institutional real estate asset manager with locations in Switzerland, France, Germany, Luxembourg, the UK and Norway. We prioritise sustainability and inclusion, invest in our people, and seek new business opportunities since 1857.

Job Details

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Engineering and Information Technology

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