Quantitative Developer

TN Switzerland; Schweiz; Vor Ort; CHF 80’000 - 120’000; Vollzeit

Zusammenfassung

An established industry player is seeking a talented Quantitative Developer to join their dynamic team in Zurich. This pivotal role involves developing the infrastructure for a new Options trading business, automating trade execution, and creating insightful trading dashboards. Ideal candidates will have a strong foundation in Python and C++, along with a degree in a relevant STEM field. If you are passionate about finance and technology and want to make a significant impact in a collaborative environment, this opportunity is perfect for you!

Qualifikationen

• Proficiency in Python and C++ is essential for this role.
• A degree in a STEM field is required, with strong analytical skills.

Aufgaben

• Develop and maintain infrastructure for the investment process.
• Build a data warehouse and automate trade execution.

Kenntnisse

Python

C++

Analytical Skills

Problem-Solving Skills

Communication Skills

Ausbildung

Degree in Computer Science

Degree in Engineering

Degree in Applied Mathematics

Degree in Statistics

Tools

Data Warehousing

ETL Processes

Data Visualisation Tools

Jobbeschreibung

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We are working with a global hedge fund who is seeking a talented Quantitative Developer to join their team in Zurich and play a pivotal role in developing the infrastructure and strategy for their new Options trading business.

Key Responsibilities:

• Develop and maintain the infrastructure supporting the entire investment process.
• Build and maintain a data warehouse, including setting up an ETL process to extract data from both internal and external sources.
• Process and analyse large datasets.
• Create trading dashboards for use by the trading team.
• Automate trade execution and assist in the development of execution algorithms.

Preferred Technical Skills:

• Proficiency in Python and C++.
• Degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a related STEM field (Undergraduate, Master's, or PhD).
• Strong communication, analytical, and problem-solving skills.
• Experience in data scraping, data cleaning, and data visualisation.
• Proven ability to work with large datasets.
• Demonstrated expertise in statistical analysis.

Preferred Experience:

• Minimum of 2 years in finance (strong candidates from the technology sector will also be considered).

Highly Valued Experience:

• Experience in developing algorithmic trading systems.