Quantitative Data Analyst

vor 4 Wochen


Frankfurt am Main, Hessen, Deutschland EUREX Clearing AG Vollzeit

Area of Expertise
EUREX Clearing AG is dedicated to managing various risk types through robust risk management frameworks that ensure the integrity, transparency, and safety of financial markets. The Counterparty Credit Risk Management division is tasked with defining these frameworks and executing related processes effectively.
Within this division, the Risk Design team plays a pivotal role in conceptualizing, implementing, and sustaining processes that integrate changes into the risk management architecture. Additionally, this team leads the design of functional frameworks that support numerous infrastructure initiatives, facilitating professional risk management of Counterparty Credit and other related risks both now and in the future. As a Data Scientist, you will spearhead the organization's transition towards advanced data and analytics solutions.

Key Responsibilities

Gather, process, and analyze datasets to deliver actionable insights and data-driven recommendations to both internal and external stakeholders. Develop reusable data and analytics solutions tailored to a wide array of risk management applications. Create and oversee data products, ensuring the provision of clean, transformed datasets ready for use by risk analysts and other business users in a self-service manner. Design and maintain dashboards, reports, and visualizations for both recurring and ad hoc analytical tasks. Collaborate with stakeholders across and beyond the risk department to tackle data-related challenges. Implement and uphold data governance policies to guarantee that data quality aligns with the organization's risk appetite. Engage with clients and client-facing teams to ensure that implemented solutions meet customer requirements. Provide training and support to team members on data-related tools and technologies.

Candidate Profile

M.Sc. or PhD in a quantitative or economic discipline (such as Econometrics, Mathematics, Computer Science, Physics, Financial Engineering, or a comparable field). At least 4 years of experience in risk management with a focus on data and analytics. Strong understanding of financial instruments (ETD, OTC, cash market), valuation techniques, and market risk management strategies. Familiarity with the CCP business model is advantageous. Exceptional analytical and problem-solving skills, along with strong communication abilities. Capability to effectively articulate insights derived from complex datasets. Proficiency in commonly used technologies and programming languages relevant to data and analytics (e.g., Python, R, SQL, Power BI, Git, Hadoop, Docker, Spark, Data Governance and Cataloguing tools, etc.). High level of commitment, motivation, a hands-on approach, and readiness to assume responsibility. Proficiency in written and spoken English; additional German language skills are a plus.

Why Choose EUREX Clearing AG?

We are dedicated to fostering a work environment where every individual feels valued and can achieve their full potential. Our commitment extends beyond merely matching candidates with suitable positions.

Mobility

We provide opportunities for mobility through job tickets, job (e-)bikes, and complimentary parking options.

Work Environment

Whether you require collaboration, communication, or focused work, our modern office spaces offer the ideal environment. Enjoy complimentary beverages, snacks, and meal allowances.

Health and Wellbeing

We prioritize your health and wellbeing, offering various health promotion initiatives, group accident insurance, and additional insurance options at discounted rates.

Financial Stability

We ensure financial stability by providing competitive salaries, company pension plans, participation in our Group Share Plan, as well as bonuses, subsidies, and discounts.

Hybrid Work Model

Work collaboratively on-site or remotely several days a week, depending on business needs and local regulations. Our hybrid working model blends the best of both worlds.

Flexible Working Hours

We aim to make your job compatible with your life situation by offering flexible working time models, part-time options, childcare allowances, or the opportunity to study alongside your career.

International Exposure

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

Professional Development

We support individual growth by providing access to internal development programs, mentoring, and budgets for further education and training.



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