Fixed Income Portfolio Analytics & Risk Analyst

Fidelity (Far East) Trading Company Limited; Hong Kong; On-site; HKD 500,000 - 700,000; Full time

Job summary

Fidelity International in Hong Kong seeks a Portfolio Analyst to support analytics, risk oversight and portfolio construction across Fixed Income and Multi-Asset strategies. You will work closely with portfolio managers and CIOs, translating quantitative insights into practical investment guidance.

The role emphasizes strong Python skills, data analysis, and dashboard development, with collaboration across risk, data and technology teams in a dynamic investment environment.

Qualifications

• Degree in quantitative field (Statistics/Math/Finance/Economics)
• Strong coding and dashboard skills for automation and reporting
• Experience in investment-risk, portfolio construction or research roles preferred

Responsibilities

• Support portfolio analytics, risk oversight and portfolio construction across Fixed Income and Multi-Asset mandates.
• Participate in governance forums like QFRs, communicating risks clearly.
• Respond to analytical requests from Portfolio Managers, CIOs and clients with clear interpretations.
• Conduct quantitative research using Python and datasets to inform decisions.
• Develop analytical frameworks for exposures, risk concentrations, stress scenarios and liquidity considerations.
• Improve reporting, monitoring and decision-support tools for evolving needs.
• Collaborate with investments, risk, data and technology teams on enhancements to risk and construction framework.
• Contribute to strategic projects and analytics innovation.

Skills

Python

Dashboard development

Data analysis

Stakeholder communication

Cantonese/Mandarin

Education

Statistics/Mathematics/Finance/Economics degree

Tools

MSCI Barra

Job description

Fidelity International in Hong Kong seeks a Portfolio Analyst to support analytics, risk oversight and portfolio construction across Fixed Income and Multi-Asset strategies. You will work closely with portfolio managers and CIOs, translating quantitative insights into practical investment guidance.

The role emphasizes strong Python skills, data analysis, and dashboard development, with collaboration across risk, data and technology teams in a dynamic investment environment.