Senior Quantitative Risk & Fund Operations Analyst

coni+partner AG; Zürich; Vor Ort; CHF 140.000 - 190.000; Vollzeit

Zusammenfassung

coni + partner AG in Zurich seeks a Senior Quantitative Risk Analyst for a leading asset management client. You will perform risk and performance analyses, generate timely reports for executives and investors, and develop risk and performance models for a range of portfolios.

The role requires deep quantitative skills, Python/SQL/Excel expertise, and familiarity with Bloomberg, Reuters or Morningstar. English fluency is essential; German knowledge is a plus.

Qualifikationen

• Strong academic background in a quantitative discipline.
• CAIA or CFA is an advantage but not mandatory.
• Experience in a quantitative analytics team at an international asset manager or Big 4.
• Familiarity with a broad range of investment instruments and risk concepts.
• Advanced knowledge in Python, SQL and Excel.
• Experience with Bloomberg, Reuters, Morningstar or Risk Metrix.
• Analytical mindset with attention to detail and strong communication.

Aufgaben

• Responsible for risk and performance analyses and updating reports for management and investors.
• Identify and quantify risk across instruments, funds and alternatives.
• Develop performance and risk models for various investment portfolios.
• Maintain databases and data pipelines for analysis and reporting.
• Create data-driven insights and contribute to robust reporting practices.
• Collaborate with colleagues across levels to implement tools and processes.

Kenntnisse

Quantitative analysis

Python

SQL

Excel

Communication

Teamwork

English fluency

Ausbildung

Quantitative discipline

Tools

Bloomberg

Reuters

Morningstar

Risk Metrix

Jobbeschreibung

coni + partner AG in Zurich seeks a Senior Quantitative Risk Analyst for a leading asset management client. You will perform risk and performance analyses, generate timely reports for executives and investors, and develop risk and performance models for a range of portfolios.

The role requires deep quantitative skills, Python/SQL/Excel expertise, and familiarity with Bloomberg, Reuters or Morningstar. English fluency is essential; German knowledge is a plus.