Primary responsibility will be to work with the Chief Risk Officer, while also supporting the broader investment, quantitative, and management teams as needed
Maintain, enhance, and streamline daily risk management processes, including reports, dashboards, and systems, to monitor, manage, and mitigate the firm's exposures to market, liquidity, and counterparty risks
Facilitate the investment risk oversight process including identification, quantification, and escalation of investment risks
Review and enhance the process of collecting data to support market intelligence and reporting for both the risk and investment teams
Design and implement automated periodic reports to monitor custom product classes within investment strategies and their corresponding risk exposures
Conduct in-depth quantitative analysis of investment specialists’ risk-return profiles and provide data-driven recommendations to the Chief Risk Officer
Propose new proprietary risk process and metric optimizations to the Chief Risk Officer, leveraging experiential insights and research-driven knowledge
Handle ad-hoc firm and portfolio analytic projects and requests
Qualifications
Education: Bachelor’s degree or above in financial engineering, mathematics, computer science, data science, or related majors
Strong R programming skills and proficiency in operating SQL and MongoDB databases
Strong proficiency in Python is a plus
Familiarity with industry standard third-party risk models is a plus
Fluent in English; Cantonese and/or Mandarin is a plus
Ability to work both independently and collaboratively in a high-paced environment
Sharp insights and logical thinking with a naturally inquisitive and curious mindset
Note: Prior experience in the financial services industry is beneficial but not required