Internship: Quantitative Portfolio Management (m/f/d)

finccam investment GmbH; München; Vor Ort; EUR 11.160 - 16.740; Vollzeit

Benefits dieser Stelle

Attractive compensation

Flexible working hours

Team meetings and internal training sessions

Zusammenfassung

finccam investment GmbH in Munich is seeking a motivated student intern to join their Portfolio Management team. This role offers insights into quantitative investment strategies for institutional investors and requires enrollment in a relevant quantitative degree program.

Ideal candidates possess programming experience in languages such as R, Python, Matlab, or Stata, and are eager to learn. You'll work alongside experienced professionals in a collaborative environment, gaining practical knowledge in the field.

The internship includes flexible working hours and competitive compensation.

Qualifikationen

• Currently enrolled in a quantitative degree program with a specialization.
• Initial programming experience is required.
• Interest in capital markets and investment strategies.

Aufgaben

• Participate in the development and maintenance of innovative investment concepts.
• Support portfolio managers in daily work.
• Gain insights into quantitative investment strategies implementation.

Kenntnisse

Programming experience in R

Programming experience in Python

Programming experience in Matlab

Programming experience in Stata

Ausbildung

Enrollment in quantitative degree program (e.g., mathematics, financial engineering, economics)

Jobbeschreibung

To strengthen our Portfolio Management team in Munich, we are looking for a motivated student to join us as soon as possible who would like to gain insights into quantitative investment strategies for institutional investors.

You (m/f/d) are currently enrolled in a quantitative degree program such as (financial) mathematics, fincancial engineering or economics with a corresponding specialization and are interested in capital markets and investment strategies. You have initial programming experience, for example in R, Python, Matlab or Stata, as well as a quick grasp and a great willingness to learn.

Your contribution

As a task, you can expect to participate in the development and maintenance of innovative investment concepts by combining human expertise and detailed data analysis through machine learning techniques. In addition, you will support our portfolio managers in their daily work and thus gain an exciting insight into the implementation of quantitative investment strategies in practice.

About us

finccam delivers holistic investment solutions in simplicity and perfection. We stand for “Puristic Investing”, focussing on the essentials in the context of institutional investment. In addition to overall portfolio construction, our core competencies lie in the management of risk premia strategies and risk management strategies. We rely on the combination of man and machine to achieve optimal results. Our experts with many years of capital market experience use state-of-the-art methods and approaches of data analysis.

As an independent owner-managed investment boutique, we are committed only to our clients and their goal achievement. Our team members are acting as experts and thought leaders for many years. We combine excellence of results with the motto of “working among friends”. In order to achieve outstanding results, we focus on the working atmosphere, the team and individual advancement.

We offer You

A great team with dynamic colleagues who like to learn and pass on knowledge, in a very entrepreneurial environment, with the opportunity to use and get to know the latest technologies, with an attractive compensation, flexible working hours and a great office in the center of Munich.

You will take part in our team meetings and internal training sessions, and at the start of your time with us you will be given an insight into various areas of our work by the colleagues responsible.

You are interested

Then please send your application to [e-mail] with a meaningful CV and an information about the period in which you would be interested to do an internship.