Responsibilities
- Portfolio Risk Monitoring: Track exposure, concentration, liquidity and key risk metrics across equity portfolios in global markets, highlight emerging risks to the investment team
- Trade Oversight & Approval: Perform daily pre-trade approval and post-trade review to ensure compliance with firm policies and regulatory guidelines
- Regulatory & Internal Reporting: Prepare and maintain risk, compliance, and regulatory reports, support committees with timely and accurate analytics
- Performance Attribution: Contribute to performance measurement and attribution analysis, provide decision-support insights
- Data Analytical Support: Maintain and enhance risk data pipelines, dashboards, and databases to ensure high data quality for stakeholders and automate recurring operational processes
- Projects: Participate in system enhancement, quantitative model development and other risk-related initiatives as required
Requirements
- Degree or above in Quantitative Finance, Statistics, Computer Science, or related discipline
- 1-3 years relevant experience, preferably within a hedge fund or asset management environment focused on equity portfolios
- Strong programming skills, proficient in Python and comfortable with SQL
- Experience with financial data platforms such as Bloomberg or FactSet
- Strong analytical, problem-solving, and numerical skills, work accurately under tight deadlines
- Effective communication skills to collaborate with investment, risk, operation, and marketing teams
- Practical understanding of AI/ML tools is advantageous
- Self-starter with positive attitude, eagerness to learn, and a team-oriented mindset
- Proficient in both written and spoken English and Chinese (Cantonese & Mandarin) preferred as the role may require communicating in Chinese with stakeholders in the head office.
If you enjoy working in a high calibre team with excellent opportunities for career development, please send your full resume with current and expected salary by email to [Confidential Information].
All applications will be treated in the strictest confidence. Personal data collected will be used for recruitment purposes only.
