Working Student
vor 2 Monaten
Eurex Clearing AG is one of the leading central counterparties (CCPs) globally, assuring the safety and integrity of markets while providing innovation in risk management, clearing technology, and client asset protection. The clearing house provides fully automated post-trade services for derivatives, equities, bonds and secured funding & financing as well as industry-leading risk management technologies.
Your area of work
You want to become part of one of the leading clearing houses worldwide and have the chance to join the journey. As part of the team, you will experience the functions and dynamics of the post-trade world and gain deep insights in the clearing of derivative products. You will be part of challenging projects targeting to improve the financial markets. You will grow with your tasks and turn challenges into milestones of your curriculum.
Your responsibilites:
You support the team and projects in developing business concepts and management presentations related to financial products and services You contribute by conducting market and competitor analysis You evaluate internal processes and experience the coordination of content in cooperation with related teams You create monthly reports analyzing clearing data and further automate and document existing processes In addition, you support the development of data reconciliation reports and dashboards including experimental use of machine learning and artificial intelligence to identify unusual data patterns Furthermore, you will get in touch with interesting tasks on an ad-hoc basis related to an international clearing houseYour profile:
You are enrolled during the entire period of activity at a state-recognized university as a regular student and have completed at least two semesters in mathematics, economics, business, data science studies or similar You are eager to obtain new skills in Financial Markets, especially in clearing context, data analysis and machine learning Thanks to your cooperative manner, you quickly find your way into the team. Your responsible commitment as well as strong communication with very good analytical skills help you to quickly familiarize yourself with new topics You have a focus on data analysis and are skilled with tools like Power BIYou have at least basic programming skills in SQL and Python/PySpark You have very good knowledge in MS Office (especially MS Excel, MS PowerPoint und MS Word) You are proficient in written and spoken English. German is beneficial
Start date: 01/01/2025
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.
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