Quant Finance Risk Analyst – Asset Management

coni+partner AG; Zürich; On-site; CHF 120,000 - 180,000; Full time

Job summary

coni + partner ag, Zurich-based asset management consultant, seeks a Quantitative Finance Risk Analyst to drive risk analytics, portfolio monitoring, and performance reporting for diverse asset classes. The role emphasizes developing robust methodologies and collaborating with senior management.

The candidate will work with internal teams and external stakeholders, applying advanced quantitative techniques and programming in SQL, VBA and Python to enhance tools and processes within a dynamic

Qualifications

• Master in Finance or Quantitative Finance.
• Experience in asset management at a bank or major fund manager.
• Experience in risk & performance calculation across asset classes.
• Experience with ex-ante and ex-post risk analysis (VaR, tracking error).
• Experience with investment restriction setup and controlling.
• Experience with Bloomberg, Morningstar, RiskMetrics.
• Programming skills: SQL, VBA and Python.

Responsibilities

• Perform risk- and performance-oriented quantitative analyses for a wide range of asset classes.
• Develop high-quality risk assessments and recommendations.
• Monitor risk positions in investment portfolios.
• Prepare reports with risk analytics and KPIs for stakeholders.
• Refine methodologies to expand analysis and reporting capabilities.
• Optimize asset management strategies, products, processes and tools.
• Collaborate with portfolio managers and senior management.
• Support infrastructure, tools and methodological development projects.

Skills

Quantitative analysis

SQL

Python

VBA

Teamwork

Education

Master in Finance or Quantitative Finance

Tools

Bloomberg

Morningstar

RiskMetrics

Job description

coni + partner ag, Zurich-based asset management consultant, seeks a Quantitative Finance Risk Analyst to drive risk analytics, portfolio monitoring, and performance reporting for diverse asset classes. The role emphasizes developing robust methodologies and collaborating with senior management.

The candidate will work with internal teams and external stakeholders, applying advanced quantitative techniques and programming in SQL, VBA and Python to enhance tools and processes within a dynamic