Working Student - Risk Methodology ETD (f/m/d)

EUREX Clearing AG • Frankfurt am Main

Learn. Develop. Grow. But always: Share value

Join our international team that drives positive change, united by a spirit of openness and curiosity. We empower you to have an impact and to grow – personally and professionally. With us, you work at the heart of financial systems and evolve the way markets operate. We’re excited about the future because we are the ones shaping it. Let´s do this together by sharing value!

Who we are

Who we are

Tracing its origins to 1585, Deutsche Börse Group has become one of the world’s leading exchange organisations and an innovative market infrastructure provider. In this role, we provide investors, financial institutions and companies access to global capital markets. What’s your part in all this? With your commitment you contribute to the success of our unique business model: offering a wide range of products, services and technologies for security, transparency and integrity on the markets. By creating trust in the markets of today and tomorrow we foster growth and contribute to the prosperity of future generations.

Frankfurt am Main

Your career at Deutsche Börse Group

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

Eurex Clearing’s Models & Analytics section is responsible for developing and maintaining its state-of-the-art risk methodologies, comprising models for market risk and product valuation amongst others. Within the section, the Risk Methodology ETD team focusses on risk methodology for exchange traded products such as futures and options. This collaborative team is responsible for the development of valuation and risk measurement methodologies as well as the on-going maintenance of models relating to existing exchange traded derivatives and the integration of new products into the risk framework. As a Working Student in Risk Methodology you will support and contribute to the design, development, calibration, maintenance and documentation of valuation and risk methodologies. You will be actively taking part in our processes, with a focus on exchange traded products.


Your responsibilities:

  • You will perform quantitative statistical analyses of model behaviour in the context of market events or specific portfolio constellations. This may include developing tools to supervise and calibrate valuation and risk models, or monitor Profit-and-Loss and Value-at-Risk figures
  • You will assist the design and maintenance of valuation and risk models as well as support the introduction of new products on the exchange
  • Furthermore, you will be involved in designing, implementing and documenting the internal Python prototype
  • You will support project planning activities (tasks, work estimates, timelines, and resources)

 

Your profile:

  • You are enrolled during the entire period of activity at a state-recognized university as a regular student and have completed a minimum of 4 semesters in a quantitative discipline (Econometrics, Mathematics, Physics, Financial Engineering, Computer Science or any other comparable degree with risk management focus including empirical, quantitative analysis and methods)
  • Strong interest in capital markets and basic knowledge of derivatives valuation and risk management coupled with strong quantitative and analytical skills
  • You are able to work flexibly both in a team environment as well as independently. You are creative and can take on responsibility
  • Experience in programming & scripting (Python), databases (SQL) and code sharing practices (git). Exposure to compiled languages (e.g. C++, Java) and OOP would be an asset
  • You are fluent in written and spoken English and can explain and present complex quantitative topics to different stakeholders

 

Start date: 01/12/2024 

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.

Our story

Our Story - Deutsche Börse Group in 120 Seconds
Our Story - Deutsche Börse Group in 120 Seconds
Contact
Ninwe Gourie – Campus Recruiting

Ninwe Gourie – Campus Recruiting

Are you interested in an internship, an apprenticeship or a working student job?
 

+496921111810

Our Campus Recruiting Team is looking forward to your call or e-mail.

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