quantitative investment analytics

4 weeks ago

Singapore PAN & COMPANY | HEADHUNTER Full time
Overview

Our client, an established multi-asset long-only asset manager, is looking to strengthen its investment analytics capabilities with a focus on quantitative and AI-driven insights. The team leverages data and advanced analytics to generate actionable investment recommendations, enhance portfolio construction, and improve risk management across equities and multi-asset portfolios.

The successful candidate will work closely with portfolio managers and senior investment leaders, translating complex data into rigorous analysis that directly informs capital allocation and investment decisions. They will assess the impact of macroeconomic trends, market events, and portfolio exposures, while developing quantitative models, scenario analyses, and stress-testing frameworks to anticipate risks and opportunities. The role also involves applying AI and machine learning techniques to enhance research efficiency, support thematic or event-driven strategies, and optimize portfolio workflows.

This position is open to Singaporeans or PRs only. If you are interested in the above opportunity, we welcome your resume in discretion to Keegen ( ) .

Pan & Company Pte Ltd | Licence 18S9074 | R

Responsibilities
  • Translate complex data into rigorous analysis that informs capital allocation and investment decisions for multi-asset portfolios.
  • Develop quantitative models, scenario analyses, and stress-testing frameworks to anticipate risks and opportunities.
  • Apply AI and machine learning techniques to enhance research efficiency and support thematic or event-driven strategies.
  • Collaborate with portfolio managers and senior investment leaders to optimize portfolio workflows and risk management.
Qualifications
  • 3-10 years of experience in quantitative research, investment analytics, or data-driven portfolio roles, ideally within asset management, hedge funds, or investment technology environments.
  • Proficiency in Python, R, or SQL; strong grasp of portfolio metrics; experience with risk and performance analysis.
  • Advanced degree in a quantitative or finance-related discipline is highly desirable.
Job details
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Finance, Research, and Analyst
  • Industries: Funds and Trusts, Financial Services, and Investment Management

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