Senior Equity Portfolio Risk & Construction Specialist

FIL Asia Holdings Pte Ltd HK Branch; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

FIL Asia Holdings Pte Ltd HK Branch's Equity Portfolio Construction & Risk team seeks a professional to support coverage of multiple equity strategies and strengthen risk management across client portfolios. You will collaborate with regional Heads of Equities and data analysts to deliver effective investment outcomes.

Key requirements include a statistics/finance economics background, CFA or studying towards it, and hands-on Python for quantitative analysis.

Qualifications

• University degree in Statistics, Mathematics, Finance or Economics.
• CFA Charter holder or studying towards or an equivalent qualification.
• Experience in a buy-side institution in a similar role.
• Deep understanding of global Equity markets and the investment management industry.
• Familiarity with other asset classes including Fixed Income, Multi Asset and Private Assets is an advantage.
• Strong communication and ability to influence across teams.

Responsibilities

• Support coverage of diverse equity strategies and risk management.
• Contribute to risk assessment and portfolio construction input.
• Assist in Quarterly Fund Reviews and Investment Risk Committees.
• Develop analyses using Python and financial data.
• Collaborate with regional Heads of Equities and data teams.

Skills

Communication

Python

Quantitative analysis

Attention to detail

Creative thinking

Team collaboration

Influencing skills

Verbal communication

Written communication

Education

Degree in Statistics/Mathematics/Finance/Economics

Tools

MSCI Barra risk models

Job description

FIL Asia Holdings Pte Ltd HK Branch's Equity Portfolio Construction & Risk team seeks a professional to support coverage of multiple equity strategies and strengthen risk management across client portfolios. You will collaborate with regional Heads of Equities and data analysts to deliver effective investment outcomes.

Key requirements include a statistics/finance economics background, CFA or studying towards it, and hands-on Python for quantitative analysis.