Quantitative Developer (f/m)

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.

Quantitative Developer (f/m)

The Financial Engineering team serves as the center of excellence for quantitative research and artificial intelligence within Swiss Life Asset Managers' portfolio management.

We are responsible for designing and analyzing systematic investment strategies, security selection models, hedging approaches, and advanced portfolio construction and optimization techniques. Our work includes developing quantitative forecasting models to enhance the investment process and support strategic portfolio optimization.

The team collaborates closely with portfolio managers throughout both the analytical and implementation phases of each strategy. In addition, we advise institutional clients on portfolio optimization within client-specific constraints as part of our asset-liability management services. Beyond research and advisory, we also develop AI-driven applications that are deployed across the organization to improve efficiency and decision-making.

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.

We welcome applications from recent graduates and early-career professionals eager to develop expertise across quantitative finance, AI, and engineering.

Location: Zurich (limited remote). Team across two sites: Zurich and Paris.

In this interdisciplinary and challenging environment, we are looking for a motivated Quantitative Developer (f/m, 100%).
This role corresponds to a Quantitative Data, Software & AI Engineer profile, combining strong software and data engineering ownership with applied AI and close collaboration with quantitative research.

Key Responsibilities

• Designing and operating data pipelines and data models for structured and unstructured financial data, including ingestion, transformation, storage, and data quality controls.

• Developing and maintaining robust, production-grade software systems, libraries, services, and web-based applications that support quantitative research, portfolio analytics, and AI-driven applications.

• Designing, integrating, and deploying end-to-end AI and machine-learning solutions, with a focus on serving GenAI and machine-learning models within data and software platforms.

• Collaborating closely with quantitative researchers and portfolio managers to implement, extend, and operationalize quantitative models, portfolio construction methods, and optimization techniques.

• Translating research concepts into scalable, maintainable, and testable implementations suitable for enterprise use.

• Building end-to-end solutions, from data ingestion through modeling, backend services, APIs, and user-facing web interfaces.

• Operating solutions in a cloud-native environment, including containerization, CI/CD workflows, monitoring, and lifecycle management.

• Supporting internal and client-facing presentations by clearly explaining data flows, model logic, and technical architectures.

Your Profile

Required Qualifications

• MSc (or equivalent practical experience) in computer science, software engineering, data engineering, applied mathematics, or a closely related technical field.

• Strong software engineering skills, with experience designing modular, maintainable, and production-ready systems, primarily in Python.

• Full-stack development experience, including:

  • Hands-on experience with at least one modern frontend framework (e.g. React, Vue, or Angular),

  • Experience building backend services, ideally in Python, including APIs that serve data, analytics, and AI/ML models.

• Strong hands-on experience in data engineering, including database design, schema modeling, and building reliable data pipelines.

• Practical experience serving AI and machine-learning models (e.g. inference pipelines, GenAI/LLM-based systems).

• Solid quantitative literacy, with the ability to understand, implement, and extend quantitative models used in portfolio analytics, optimization, or risk management.

• Experience working across the full data–model–application lifecycle, rather than in a narrowly specialized role.

• Familiarity with cloud infrastructure, containerization, and CI/CD workflows.

• 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 designing and operating data platforms for quantitative research, analytics, or AI use cases.

• Prior experience in a quantitative, financial, or asset management environment.

• Strong theoretical background in statistics, stochastic processes, numerical mathematics, or optimization techniques.

• PhD in a quantitative field (e.g. applied mathematics, statistics, physics, computer science, or quantitative finance).

• Hands-on experience in AI development, including LLMs, prompt/context engineering, and agentic workflows.

• Exposure to portfolio construction, optimization, risk modeling, or asset-liability management concepts.

• Practical knowledge of Azure cloud services and infrastructure-as-code tools (e.g. Terraform).

• Experience acting as a technical bridge between quantitative researchers, portfolio managers, and engineering teams.

• Experience in leveraging AI for coding and software development.

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. 

Telefon: