Working Student AI & Automation Multi Asset & Equity(w/m/d) 60%

Swiss Life Group

Zürich

Hybrid

CHF 30,000 - 42,000

Full time

25 hours ago
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Benefits offered by this job

Remote Work Abroad options
Swiss Life AM Academy
Pension fund contributions
Reka cheques & meal allowance
Flexible working models

Job summary

Swiss Life Asset Managers in Zurich is seeking a Working Student (f/m/d) to help develop AI-driven workflows for the Multi Asset and Equity business. You will collaborate with Product Specialists and Portfolio Management while exploring AI agents and automation in a flexible, approximately 60% capacity.

The role emphasizes data preparation, prompt creation, and knowledge integration, with hands-on exposure to modern AI tools and financial data platforms.

Qualifications

  • Enrolled in a Bachelor’s or Master’s program in a related field.
  • At least one year of studies remaining at planned start date.
  • Interest in Generative AI and automation with practical exposure is a plus.
  • Solid knowledge of Python, data analytics, APIs, and modern AI environments.
  • Experience with development tools like Copilot, VS Code, GitHub is advantageous.

Responsibilities

  • Develop and enhance AI-driven workflows for Multi Asset & Equity units.
  • Support AI agents and digital assistants for knowledge retrieval and automation.
  • Prepare and integrate data sources for AI-powered apps.
  • Create and optimize prompt libraries and AI workflows.
  • Translate business requirements into technical solutions.
  • Support PoC initiatives and rollout of new AI tech.
  • Integrate AI solutions into existing processes and document solutions.

Skills

Python
Data analytics
APIs
AI development environments
English
German

Education

Bachelor's or Master's in Data Science/AI/CS/Finance/IBS

Tools

Copilot Studio
Power Automate
VS Code
GitHub/Bitbucket
Azure AI Services

Job description

Zurich

Full time

In this role, you will gain comprehensive insight into the world of asset management, with a particular focus on Multi Asset and Equity strategies. You will work closely with Product Specialists, Portfolio Management teams, and other business functions. As part of our commitment to continuously improving the way we work, we are investing in the development of an AI-enabled working environment. We are therefore looking for a Working Student (f/m/d) who will contribute to the development and implementation of modern AI technologies, intelligent agents, and automation solutions. The position is approximately 60% and offers a flexible working arrangement.

Responsibilities
  • Develop, implement, and continuously enhance AI-driven workflows and automation solutions for the Multi Asset & Equity business.
  • Support the development of AI agents and digital assistants for knowledge retrieval and workflow automation.
  • Structure, prepare, and integrate data sources for use in AI-powered applications.
  • Create and optimize prompt libraries, AI workflows, and reusable use cases.
  • Translate business requirements from Product Management, Sales, and Marketing into practical technical solutions.
  • Support proof-of-concept initiatives, pilot projects, and the rollout of new AI technologies.
  • Integrate AI solutions into existing business processes and continuously improve applications based on user feedback.
  • Document developed solutions and ensure their long-term usability and sustainability.
Experience
  • Currently enrolled in a Bachelor's or Master's degree program in Data Science, Artificial Intelligence, Computer Science, Business Information Systems, Finance, or a related field.
  • At least one year of Bachelor's or Master's studies remaining at the planned start date.
  • Demonstrated interest in Generative AI, Agentic AI, automation, and emerging technologies, ideally supported by practical experience.
  • Solid knowledge of Python, R, data analytics, APIs, and modern AI and software development environments.
  • Initial hands-on experience with Microsoft Copilot, Copilot Studio, Power Automate, Visual Studio Code (VS Code), GitHub, Bitbucket, Azure AI Services, Azure AI Foundry, Power Platform, or similar technologies is an advantage.
  • Experience with Bloomberg, LSEG Workspace (formerly Refinitiv Eikon), or comparable financial market data platforms is a plus.
  • Strong interest in capital markets and asset management.
  • Basic understanding of investment concepts such as benchmarking, active management, equity funds, and multi-asset strategies, or a strong willingness to quickly acquire this knowledge.
  • Self-driven, structured, and solution-oriented working style with a strong commitment to quality.
  • Good English language skills, German is a plus.
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

Swiss Life Asset Managers

We are a leading European asset manager and institutional real estate asset manager with multiple locations in Europe. With a strong client focus, here at Swiss Life Asset Managers, success is driven by expecting the unexpected, prioritising sustainability and inclusion, fully investing in our jobs and people, and being on the lookout for new business opportunities - all since 1857.

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