Quantitative Analyst

The Hasso Plattner Foundation aims to accelerate the adoption of digital technologies through science and education, improve access to art and culture, and support environmental conservation. Hasso Plattner is one of the founders of SAP, an enterprise software company, and has been chairman of its supervisory board until 2024.

In 1998, Hasso Plattner founded the Hasso Plattner Institute for Digital Engineering, marking his first significant philanthropic contribution. After signing the Giving Pledge (initiated by Bill and Melinda Gates and Warren Buffet), he established the foundation in 2015.

We are the Investment Office of the Hasso Plattner Foundation. We have the mandate to generate income, and preserve and grow the wealth of the Hasso Plattner Foundation – with the ultimate goal of funding existing and new philanthropic initiatives into perpetuity. We aim to generate high, risk-adjusted returns and invest capital in global public equities, leveraged buyouts, venture and growth capital, hedge funds and real assets. We invest with trusted external partners and selectively via direct ownership of businesses, especially in enterprise software and digital health.

Our investment strategy focuses on long-term equity ownership and risk diversification. The investment office seeks out external partners with entrepreneurial spirit, an ingrained moral compass, and a drive to make a positive impact. We invest to create value for both shareholders and society. Environmental, social, and governance (ESG) considerations guide our investment decisions deeply.

The Hasso Plattner Foundation’s main office is in Potsdam, Germany.

The Position

Join us as a Quantitative Analyst to advance our portfolio management by translating complex data into actionable investment recommendations. At the intersection of quantitative finance, software development, and data science, you will have a direct impact on our long-term strategy by building what’s next. In particular, you will implement sophisticated analyses to model, simulate, and stress-test our portfolio, architect novel tools that integrate complex data, and generate robust, data-driven insights to shape our long-term decisions.

Core Responsibilities

• Portfolio analysis: Conduct in-depth quantitative analysis on the investment portfolio, including risk factor modeling, simulations & scenario analysis, and stress testing, and contribute to preparing clear and insightful reports for the investment committee.
• Full-stack development: Develop tools for novel and innovative portfolio management techniques, such as for asset allocation, simulations & scenario analysis, risk management, and portfolio analytics.
• Data management: Integrate data from various sources, including existing internal and external systems and reports, by building and managing data management systems and pipelines.

Applicants should have

• No more than 2 years of experience. Prior experience (incl. internships) is a plus.
• Excellent academic achievement (bachelor’s, master’s or PhD) with a strong emphasis on quantitative disciplines such as computer science, mathematics, physics, engineering, or finance.
• Proficiency in data-science oriented programming (Python incl. pandas, numpy, etc.), including data management systems (Postgres, etc.) and familiarity with version control systems (Git). Full-stack (NextJS, React, etc.) experience and interest are strongly preferable.
• Excellent analytical and problem-solving skills with a meticulous attention to detail and the pragmatism to abstract clear-cut recommendations.
• A proactive, self-reliant working style with unquestioned integrity and a \“get-things-done\“ mentality.
• Interest in investments and portfolio management, prior financial industry experience or training (CFA, etc.) is not required, but a plus.
• Fluency in English is required, other languages (incl. German) are a plus.

What else do we offer you?

• Working in a motivated team with flat hierarchies and mentorship
• A competitive compensation package
• Support to pursue professional training, such as the CFA, CAIA and FRM designations
• State-of-the-art IT equipment
• Public transport ticket
• Multi-day team events and training opportunities
• Working in a beautiful office that offers free lunch, fruits, drinks, excellent coffee, and opportunities for outdoor sports activities

To Apply
We look forward to receiving your application (CV, diplomas, references) compiled as one PDF document with your salary expectations and earliest entry date.

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