Working Student – Investment Analytics (40%)

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 Asset & Liability Management (ALM) and Investment Risk team at Swiss Life Asset Managers (SLAM) oversees strategic asset allocation and ALM, portfolio construction, and market risk management for Swiss Life’s own assets. We specialize in optimizing investment strategies and enhancing risk-adjusted returns versus liabilities. Our team collaborates closely with portfolio managers, risk experts, and senior management to deliver a capital efficient portfolio.

We foster an open, dynamic, and ambitious work environment. We are currently seeking a motivated working student to join our team two days a week (40%), with potential to increase workload during semester breaks, to support the modernization and automation of our investment processes. This is an exciting opportunity to join a leading institutional asset manager for someone passionate about financial markets, data analytics, and technology-driven transformations.

Responsibilities:

• Develop and automate investment reports by transitioning existing Excel/VBA processes to advanced visualization tools (e.g., Dash, PowerBI).
• Streamline and optimize data workflows to significantly reduce manual efforts and enhance accuracy and timeliness.
• Collaborate closely with the ALM and investment risk team to support portfolio analysis, market risk management, and asset allocation initiatives.
• Participate actively in ongoing technology and automation projects within SLAM.

Experience:

• Currently pursuing a degree in finance, economics, computer science, mathematics, or a related quantitative field.
• Strong technical skills in programming (e.g., Python) and familiarity with data visualization tools (e.g., Dash, PowerBI).
• Understanding of financial markets; prior work experience within the financial industry is advantageous.
• Analytical mindset with the ability to handle complex financial datasets and propose innovative solutions.
• Proactive, result-oriented, and eager to learn in an international, fast-paced team environment.

Why Join Us?

• Gain real-world exposure to financial markets, investment strategy, and risk management within a leading institutional asset manager.
• Flexible working hours accommodating your studies, with potential increased engagement during semester breaks.
• Opportunity to acquire highly sought-after technical and financial industry skills.
• Contribute directly to meaningful efficiency improvements through advanced technology and innovative solutions.

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.

Ihr Kontakt

Laura SteinerTelefon: