about the company.
he company is a boutique alternative investment management firm based in Hong Kong. It operates primarily as a "fund of hedge funds" (FoHF). Rather than trading stocks or bonds directly, its core expertise lies in scouting, evaluating, and allocating capital to other top-tier hedge funds across both Asian and global markets.
Risk Monitoring & Reporting
Monitor daily, weekly, and monthly risk exposures across multiple regional and global investment portfolios.
Generate and maintain comprehensive risk reports, tracking key metrics such as tracking error, VaR (Value at Risk), stress testing, and beta.
Partner with global offices and portfolio management teams to investigate and resolve data exceptions, resolve reporting issues, and align reporting standards across regions.
Assist in documenting business requirements and maintaining robust internal controls over the risk reporting process.
Process Automation & Data Management
Utilize Python to automate routine data extraction, transformation, and reporting tasks, significantly reducing manual processing time.
Manage large financial datasets and perform complex reconciliations to ensure data integrity across various risk and analytics platforms.
Contribute to the continuous improvement of risk infrastructure by identifying operational bottlenecks and deploying code-driven solutions or AI tools.
Build, maintain, and optimize data dashboards and visualization tools for senior management.
skills & experiences required.
Required Experience
Education: Bachelor's degree in Finance, Financial Engineering, Economics, Mathematics, Computer Science, or a related quantitative field.
Experience: 1 to 4 years of experience in investment risk, portfolio analytics, risk management, or asset management operations.
Programming: Hands-on familiarity with Python (specifically libraries like Pandas, NumPy, or Matplotlib) for data manipulation, scripting, and workflow automation.
Technical Tools: Advanced proficiency in Microsoft Excel (VBA is a plus, but Python is preferred) and experience managing large datasets.
Core Competencies
Solid understanding of financial markets, asset classes (Equities, Fixed Income, Multi-Asset), and fundamental investment risk concepts.
Strong problem-solving skills with a meticulous eye for detail and data accuracy.
Excellent cross-functional communication skills, with the ability to explain technical risk or data concepts to non-technical stakeholders (e.g., front-office traders, regional managers).
Ability to work independently in a fast-paced environment and manage multiple reporting deadlines.
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