Focus University Trainee Asset Management in the Equity Area with a Specialization in Systematic Strategies

Zürcher Kantonalbank und ihre Tochtergesellschaften

Zürich

Key information

Publication date:20 September 2025
Workload:100%
Place of work:Zürich

Job summary

Join Zürich's leading bank in Asset Management as a Trainee! Experience a dynamic work environment with great career benefits.

Tasks

Develop Machine-Learning models for predicting stock returns.
Conduct Explainable-AI analyses for transparency in predictions.
Assist in equity portfolio management and analytics tool development.

Skills

Master's degree in a science field or Quant Finance required.
Strong programming skills in Python and SQL essential.
Excellent analytical skills and communication abilities needed.

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100% | Asset Management | Zurich | Student

Have you recently completed your master's degree or are you about to graduate? Are you looking for a unique opportunity to dive into the professional world of asset management and fill your backpack with practical experience?

Then discover your chance now – we are looking for you as a motivated trainee Focus Asset Management in the equity area with a specialization in Systematic Strategies.

The Systematic Strategies team develops systematic equity strategies – from rule-based multifactor models to machine learning models – and implements them in funds and mandates.

We invest heavily in the development of our approximately 400 young talents and look forward to a talented and high-performing personality for our trainee program Focus Asset Management in the equity area with a specialization in Systematic Strategies. The assignments during the 18-month program are designed to be versatile and individual with a focus on quantitative equity strategies, machine learning, and equity portfolio management. Of course, further assignments to expand know-how in related areas are planned. More information about our university trainee program Focus can be found here .

Your tasks

Development of machine learning models to predict stock returns based on state-of-the-art algorithms for time series analysis of multivariate financial market data
Conducting explainable AI analyses with the goal of making the return forecasts of the ML algorithms transparent and comprehensible
Empirical analysis of financial market data and the development of quantitative equity strategies based on this (behavioral finance and trend-based models)
Collaboration on analyses related to equities and the continuous development of our equity analytics tool
Taking on tasks in the area of portfolio management of equity funds and mandates

Your profile

Very good master's degree in a scientific discipline (mathematics/statistics, computer science, physics) or in econometrics / quant finance
Solid knowledge in machine learning as well as a deep understanding of the underlying mathematical concepts
Very good programming skills, including Python and SQL
Strong analytical and conceptual skills combined with precise, independent, and structured working methods
Basic knowledge in equities and finance is an advantage
Strong communication and expression skills
Very good English skills and German skills (at least level B2)

Our offer

We offer you a comprehensive insight into the world of asset management at a successful bank
Experienced and motivated mentors accompany you personally and comprehensively
Lots of fun and great colleagues – because without this, training is only half as nice
Interesting and open teams that look forward to working with you
As part of our trainee community, you will experience many social and professional events
Inspiring working atmosphere that gives you room for your development
Future-oriented training with exciting entry-level positions within Zürcher Kantonalbank
Our young talents are close to our hearts, and therefore we actively support you

Fabian Bösch
is happy to help you.
Phone: 044 292 27 36