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.

• 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.

• 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.

• 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.

• 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.