Student assistant – Quantitative analyst in Business Strategy & Intelligence (female/male)

Job description

We have a vacancy at Deutsche Börse AG in Frankfurt am Main

Duration: 6-12 months / Start: immediately / Working hours (per week): 15-19 hours

As an integral part of Deutsche Börse Group, Clearstream offers bank, settlement and custody services for fixed-income securities and shares to its 2,500 customers worldwide. As Europe#s leading provider of these post-trade services, the international central securities depository processes more than 10 million transactions per month, involving over 850,000 securities. We ensure that cash and securities are promptly and effectively delivered between market participants and that our customers are always notified of the rights and obligations attached to the securities they keep under our custody. Committed employees are the key factor for innovation and further growth: Without them Deutsche Börse Group would not have developed into one of the most modern exchange organisations in the world. More than 5,300 employees work for the Group - a dynamic, motivated and international team.

The Business Strategy and Intelligence (BS+I) team of the Market Data and Services department has the mission to ensure a sustainable pipeline of innovation initiatives within the MD+S organization, to support employees in the generation and implementation of innovative ideas and solutions.

Your responsibilities

Set up a prototypes for vector data processing in GoLang or C

Help in development and continuous improvement of algorithms

Support the team in quantitative and qualitative analysis where required

Our requirements

Students must be enrolled in an academic programme recognised by the state

Student of mathematics, physics, informatics or any other quantitative discipline

Very good knowledge of linear algebra proven with good grades in either high school or university degrees in mathematics or physics or any other related discipline

Experience in at least one major general-purpose programming language (e.g. C, Pascal, Java, GoLang)

Interest to build up GoLang or C skills

Ability to work in an English speaking team

There are numerous good reasons to work for us: responsibility at an early stage, an international work environment and a varied student program.

Desired profile

Our requirements

Students must be enrolled in an academic programme recognised by the state

Student of mathematics, physics, informatics or any other quantitative discipline

Very good knowledge of linear algebra proven with good grades in either high school or university degrees in mathematics or physics or any other related discipline

Experience in at least one major general-purpose programming language (e.g. C, Pascal, Java, GoLang)

Interest to build up GoLang or C skills

Ability to work in an English speaking team

There are numerous good reasons to work for us: responsibility at an early stage, an international work environment and a varied student program.