Quantitative Asset Performance & Risk Analyst

Join; Zürich; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

coni + partner ag in Zürich leads a role for a Quantitative Analyst in the asset management space. You will contribute to performance measurement, attribution and risk reporting for fund portfolios in a collaborative, tech-driven environment.

Demonstrated expertise with Python, SQL and market data tools will be valued, along with a strong mathematical background and process governance knowledge. This position is based in Zürich with close interaction across teams.

Qualifikationen

• Master's degree in Mathematics, Physics, Economics or Quantitative Finance.
• Experience in asset management, investment banking or consulting.
• Experience with performance measurement and performance attribution.
• Programming skills: VBA, Python, SQL.
• Knowledge of process governance and life cycle in operations.
• Independent, analytical, team player with problem-solving skills.

Aufgaben

• Calculate, validate and report fund portfolio performance, attribution and risks.
• Analyze portfolio configurations, aggregated portfolios and benchmark data sourcing/management.
• Support client reporting with relevant performance metrics across the group.
• Execute performance-related projects with client reporting and IT/project teams.
• Solve problems, support UAT and ensure controls are applied.
• Collaborate with front office, internal audit and external data vendors to optimize processes.

Kenntnisse

Quantitative analysis

Analytical thinking

Team collaboration

Problem solving

Ausbildung

Master's degree in Mathematics/Physics/Economics/Quantitative Finance

Tools

VBA

Python

SQL

Bloomberg

FactSet

Morningstar

Essentials

QA Direct

Jobbeschreibung

coni + partner ag in Zürich leads a role for a Quantitative Analyst in the asset management space. You will contribute to performance measurement, attribution and risk reporting for fund portfolios in a collaborative, tech-driven environment.

Demonstrated expertise with Python, SQL and market data tools will be valued, along with a strong mathematical background and process governance knowledge. This position is based in Zürich with close interaction across teams.