Senior Quantitative Finance Analyst for UCITS & AIF Funds

coni+partner AG; Basel; On-site; CHF 120,000 - 190,000; Full time

Job summary

coni + partner ag is seeking a senior Quantitative Finance Analyst to join a Zurich-based asset management client. You will perform risk and performance analyses across multiple asset classes and develop models for investment portfolios.

Proficiency with Python, SQL and Excel, and experience with data providers like Bloomberg, Reuters, and Morningstar, are essential. The role requires a strong finance background, English fluency, and an analytical mindset.

Qualifications

• Strong academic background in Finance or Quantitative Finance.
• Experience in a quantitative analytics team of an international asset manager or Big 4 with fund mandates.

Responsibilities

• Conduct risk and performance analyses with regular reports for management and investors.
• Identify and quantify risk across instruments and funds including alternatives.
• Develop performance models for investment portfolios.
• Utilize software to access financial information (e.g., Bloomberg, Morningstar, Reuters).
• Maintain data analysis databases and data extraction/upload workflows.
• Develop and implement updated risk models and data-driven insights.
• Calculate performance of complex investment strategies for different fund types.
• Review data quality and reporting robustness for stakeholders.
• Provide recommendations based on evaluations and reports.

Skills

Quantitative analytics

Investment instruments

English

German (nice to have)

Python

SQL

Excel

Communication skills

Education

Finance or Quantitative Finance degree

CAIA or CFA (advantage)

Tools

Python

SQL

Excel

Bloomberg Terminal

Reuters

Morningstar

Risk Metrix

Job description

coni + partner ag is seeking a senior Quantitative Finance Analyst to join a Zurich-based asset management client. You will perform risk and performance analyses across multiple asset classes and develop models for investment portfolios.

Proficiency with Python, SQL and Excel, and experience with data providers like Bloomberg, Reuters, and Morningstar, are essential. The role requires a strong finance background, English fluency, and an analytical mindset.