Quantitative Risk & Performance Analyst

coni+partner AG; Zürich; Vor Ort; CHF 90.000 - 120.000; Vollzeit

Zusammenfassung

coni+partner AG in Zürich is seeking a quantitative analyst (m, f, d) to serve as a Financial Mathematician Risk & Reporting for an international bank's asset management division. The role focuses on performance measurement, attribution and risk across portfolios.

You will collaborate with portfolio managers, front offices and reporting teams, driving process improvements and ensuring data quality while leveraging Python, SQL and VBA in a regulated environment.

Qualifikationen

• Master's degree in Mathematics, Physics, Economics or Quantitative Finance.
• Experience in asset management, investment banking or consulting.
• Experience with risk & performance analysis of investment products.
• Programming skills VBA, Python, SQL.
• Familiarity with Bloomberg, FactSet, MorningStar and Essentials, QA Direct.
• Experience with performance measurement and attribution and internal controls.

Aufgaben

• Responsible for calculation, validation and reporting of fund performance measurement, attribution and risks.
• Responsible for portfolio configuration analysis, aggregated portfolios and benchmark data sourcing.
• Support client reporting teams with relevant performance metrics.
• Execute performance related projects with client reporting and IT teams.
• Problem solving, change management, UAT support, documentation and controls.

Kenntnisse

Analytical thinking

Team player

Problem solving

IT affinity

Ausbildung

Master's degree in Mathematics, Physics, Economics or Quantitative Finance

Tools

Python

SQL

VBA

Bloomberg

FactSet

MorningStar

Essentials

QA Direct

Jobbeschreibung

coni+partner AG in Zürich is seeking a quantitative analyst (m, f, d) to serve as a Financial Mathematician Risk & Reporting for an international bank's asset management division. The role focuses on performance measurement, attribution and risk across portfolios.

You will collaborate with portfolio managers, front offices and reporting teams, driving process improvements and ensuring data quality while leveraging Python, SQL and VBA in a regulated environment.