Working Student - Advanced Analytics for Financial Markets (f/m/d)

Frankfurt am Main

Your career at Deutsche Börse Group

Your area of work

The Compliance Function works in close coordination with the individual business units and other group control functions to ensure compliance with national and international laws, rules, and regulations applicable to various units of the Deutsche Börse Group and its business activities. The Compliance Function has a proactive role in the identification of possible compliance or reputational risks, including those that may arise in connection with new activities and products. As a working student in Analytics & Monitoring team, you will work in enhancing Trends & Patterns Monitoring solution to perform advanced analytics on transactional and reference data from money laundering and criminal offences perspective and identify anomalies and complex patterns.

Your responsibilities:

• You implement, maintain and improve monitoring rules, processes, and guidelines within the monitoring team in accordance with regulations (especially, but not limited to Anti Money Laundering and Market Abuse)
• You analyse data using SQL, Python and other BI tools and support in rule development process.
• You support analysts in designing and implementing new monitoring rules using advanced statistical and machine learning methods
• You prepare test data and test case scenarios based on business and technical requirements
• You execute technical unit testing and support in debugging technical issues
• You create and maintain required documentation to fulfill audit requirements
• You maintain communications with expert departments within legal entities, including internal and external stakeholders

Your profile:

• You are currently enrolled in Master’s program in computer science, Machine Learning, business informatics, financial mathematics, data science, economics or comparable field
• You have excellent analytic skills and in-depth knowledge of statistical data analysis
• Some knowledge of financial markets, desirably derivative products and investment funds is preferrable
• Exposure to data analytics projects with strong hands on experience in SQL, Databricks, Python, or other statistical tools, etc.
• Prior experience in Machine Learning, LLMs will be an asset
• Good writing, conceptual and methodological skills, ability to communicate complex topics in a clear and structured manner is self-evident
• Proficiency in written and spoken English; German language skills will be an asset

Start date: 01/09/2026

Why Deutsche Börse Group?

We are committed to providing a work environment where everyone feels welcome and can reach their full potential. Our standards go far beyond simply matching candidates with the right position.

Mobility

We enable you to move freely with our job tickets, job (e-)bikes and free parking opportunities.

Work environment

Collaboration, communication, or deep focus – in our modern office buildings you will find the perfect work environment. Free drinks and food and meal allowances included.

Health and wellbeing

We care for your health and wellbeing and besides various health promotion measures we offer you a group accident insurance and additional insurance offers at discounted rates.

Financial stability

We provide financial stability by offering attractive salaries, company pension schemes, participation in our Group Share Plan, as well as bonuses, subsidies and discounts.

Hybrid work

Collaborate and exchange on-site or work remotely several days a week in line with business needs and local regulations. Our hybrid working model combines the best of both worlds.

Flexible working hours

We want your job to fit your life situation and offer flexible working time models, childcare allowance, or the possibility to study alongside your job.

Internationality

Our market infrastructures are globally connected. Working with us means collaborating with like-minded colleagues across over 60 locations from more than 100 nations.

Development

We promote individual development by offering internal development programmes, mentoring, further education and training budgets.