Senior Quant Analyst: Fund Ops, Risk & Performance

coni+partner AG; Zürich; Vor Ort; CHF 140.000 - 210.000; Vollzeit

Zusammenfassung

coni+partner AG, a Zurich-based consultancy, seeks a Senior Quant Analyst for Fund Operations in Risk & Performance. The role emphasizes risk analytics, performance measurement and model development across diverse asset classes for internal and client reporting.

The candidate should have a strong quantitative background, experience in asset management environments, and proficiency in Python, SQL, and Excel, with familiarity in data platforms and Bloomberg/Reuters/Morningstar.

Qualifikationen

• Strong academic background in a quantitative discipline.
• CAIA or CFA is an advantage but not mandatory.
• Experience in a quantitative analytics team of an international asset manager or Big 4 with fund mandates.
• Familiarity with investment instruments and quantitative risk concepts.
• Proficiency in Python, SQL and Excel; experience with data platforms.
• Experience with Bloomberg, Reuters, Morningstar or Risk Metrics.
• Analytical mindset with attention to detail; strong communication skills.
• Fluency in English; German a plus.

Aufgaben

• Perform risk and performance analyses and produce updates for senior management and investors.
• Develop performance models for various investment portfolios and instruments.
• Create and maintain data pipelines and databases for analysis and reporting.
• Develop updated risk models and data-driven tools for insight generation.
• Evaluate and report on data quality and reporting robustness.

Kenntnisse

Quantitative analysis

Model development

Python

SQL

Excel

Risk concepts

Performance measurement

Bloomberg

Reuters

Morningstar

English fluency

Ausbildung

Quantitative discipline degree

Tools

Bloomberg

Reuters

Morningstar

Risk Metrics

Jobbeschreibung

coni+partner AG, a Zurich-based consultancy, seeks a Senior Quant Analyst for Fund Operations in Risk & Performance. The role emphasizes risk analytics, performance measurement and model development across diverse asset classes for internal and client reporting.

The candidate should have a strong quantitative background, experience in asset management environments, and proficiency in Python, SQL, and Excel, with familiarity in data platforms and Bloomberg/Reuters/Morningstar.