Senior Quantitative Analyst (w/m/d) - limited 12 months at European Commodity Clearing AG
Leipzig, , Germany -
Full Time


Start Date

Immediate

Expiry Date

25 Sep, 25

Salary

0.0

Posted On

26 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Processing, Economics, Sql, Programming Languages, Finance, Python, Process Optimization, Statistical Software, R, Teamwork, Model Development, Mathematics, Statistics, Data Science

Industry

Financial Services

Description

We’re flexible! We’re happy to receive applications in English or German.
For a temporary position, initially limited to 12 months, we are seeking a highly skilled Quantitative Analyst to join our team of risk experts. You will be responsible for analyzing and processing data to better understand the risk of ECC’s markets and identify relevant risk drivers. Additionally, the role involves optimizing processes and developing and enhancing our reporting infrastructure and risk models as well as leveraging data science techniques to drive insights and innovation

YOUR SKILLS:

  • Bachelor’s or Master’s degree in Mathematics, Statistics, Economics, Finance, Data Science, or a related field
  • Proven experience in quantitative analysis, data processing, process optimization, or model development
  • Proficiency in BI tools, statistical software and programming languages such as PowerBI, Python, R, or SQL
  • Strong analytical and problem-solving skills
  • Excellent communication and teamwork abilities
Responsibilities
  • Analyze and interpret complex data sets to support decision-making processes and understand market risks
  • Identify and analyze risk drivers to enhance risk management models
  • Develop, implement, and maintain quantitative models
  • Enhance and automate reporting processes to improve efficiency and accuracy
  • Optimize business processes through data-driven insights
  • Apply data science techniques to extract meaningful insights from large datasets
  • Collaborate with cross-functional teams to gather requirements and deliver insights
  • Stay updated with the latest industry trends and best practices in quantitative analysis and data science
    After all, we value the exchange of ideas, being there for each other and encouraging each other to become better. We call it: the exchange mindset!
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