Quantitative Developer (f/m)

Swiss Life; Zürich; Hybrid; CHF 100’000 - 130’000; Vollzeit

Zusammenfassung

A leading asset management firm in Zurich is seeking a motivated Quantitative Developer to enhance its portfolio management strategies through quantitative research and AI. This role involves designing data pipelines, developing software for portfolio analytics, and collaborating with quantitative researchers. Ideal candidates will possess an MSc in a relevant field and strong Python skills, along with experience in full-stack development. The company offers a dynamic work environment with flexible working arrangements.

Leistungen

Flexible working models

Professional development opportunities

Qualifikationen

• MSc or equivalent experience in computer science, software engineering, or similar.
• Proficient in Python with strong software engineering skills.
• Experience in data pipeline design and operation.

Aufgaben

• Design and operate data pipelines for financial data.
• Develop software supporting quantitative research and portfolio analytics.
• Collaborate with researchers to implement quantitative models.

Kenntnisse

Python

Full-stack development

Data engineering

Analytical skills

Problem-solving

Ausbildung

MSc in computer science or related field

Tools

React

APIs

Azure

Jobbeschreibung

Quantitative Developer (f/m) page is loaded## Quantitative Developer (f/m)locations: Zürichtime type: Full timeposted on: Posted 7 Days Agojob requisition id: R12107**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.## 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.**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 play a part in this effort.**Your contact**Laura SteinerTel:We are one of the most successful Swiss asset managers in the European insurance sector. A with us offers a dynamic experience in a stable working environment. Our employees make the difference. People count. We provide asset management services in Switzerland, France, Germany, Luxembourg and the UK. As part of these services, we manage insurance assets for the Swiss Life Group as well as the assets of third-party clients.