Quantitative Risk Manager - Private Markets

Partners Group

Singapore

On-site

SGD 110,000 - 170,000

Full time

7 days ago
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Benefits offered by this job

One-month sabbatical after five years
Volunteer opportunities
Team events

Job summary

Partners Group, a leading global private markets investment manager, invites a Risk Manager to join the Risk Management team in Singapore. You will deliver rigorous risk analysis, develop proprietary quantitative tools, and support senior decision-making with high-quality insights and communication.

Qualified candidates will hold an advanced degree in quantitative fields and have 2–4 years of risk management experience, with programming skills in Python/SQL and strong English communication.

Qualifications

  • Advanced degree in Mathematics, Physics, Quantitative Finance, or similar disciplines.
  • 2-4 years of experience in risk management within public or private markets.
  • Proven ability to generate original ideas and develop new models or processes.
  • Deep interest in quantitative analysis and strong affinity for working with numbers.

Responsibilities

  • Perform regular and ad-hoc scenario analysis of private markets data.
  • Develop, maintain and enhance proprietary private markets quantitative models.
  • Preparation of submissions and presentations for firm-wide management and committees.
  • Operation and enhancement of firm-wide private markets models and systems.
  • Produce risk reporting and analytical insights for internal and external stakeholders.
  • Contribute original ideas to improve risk processes, methodologies, and decision support frameworks

Skills

Quantitative analysis
Risk management
Communication
Attention to detail

Education

Advanced degree in Mathematics/Physics/Quantitative Finance

Tools

Python
SQL
Excel

Job description

Partners Group, a leading global private markets investment manager, invites a Risk Manager to join the Risk Management team in Singapore. You will deliver rigorous risk analysis, develop proprietary quantitative tools, and support senior decision-making with high-quality insights and communication.

Qualified candidates will hold an advanced degree in quantitative fields and have 2–4 years of risk management experience, with programming skills in Python/SQL and strong English communication.

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