Investment Data Analyst (AIA Investment Management)
Join us as Investment Data Analyst at AIA Investment Management!
The main objective of the Investment Analysis & Control function is to identify, assess and report current, emerging and potential Market, Credit, Liquidity and Environmental risks across all portfolios and funds managed and/or advised by AIAIM.
The incumbent will take responsibility of the BAU oversight of a specific asset class (i.e., Equity, Fixed Income, Private Assets or Derivatives) and will assist the Head of Investment Analysis & Control in overseeing and analysing the performance and risk of portfolios and funds, both individually and at an aggregated level.
Responsibilities- Provide an independent analysis and management of Investment Risks (Market Risk, Credit and Counterparty Risk, Liquidity Risk, Environmental Risk) for the AIAIM investment activities
- Conduct risk-return analyses on portfolios and funds managed and/or advised by AIAIM and overseeing risk-taking activities in line with risk budgets and KPIs/KRIs
- Assist the Head of Investment Analysis & Control in developing, reviewing and enhancing the Governance framework on matters related to Investment Risk management, ensuring compliance with relevant regulations and guidelines
- Analyse Investment Risks for new products/instruments and provide assessments to the Product Approval Committee
- Assist the Head of Investment Analysis & Control in the transition of processes, reports and analytics to the new risk system
- Candidates will preferably hold an MSc degree in a technical discipline (Finance, Statistics, Computer Science, Mathematics) and possess good analytical, quantitative, and problem-solving skills. CFA/FRM certifications are a plus
- Minimum 7 years of proven Multi-Asset portfolio risk, performance and attribution experience. Knowledge of Derivative instruments and/or Private Assets and their related Investment Risk analysis would be viewed favourably.
- Familiarity with the relevant regulatory environment and related requirements
- Working knowledge of widely used risk and performance systems, BRS Aladdin and Bloomberg is a considerable advantage
- Hands on programming experience in Python/R together with the libraries commonly used for data manipulation (e.g., Pandas in Python, Tydiverse packages in R), with statistical analysis/data science is a plus. Hands on experience with databases is a plus
- Excellent communication and presentation skills to translate complex risk information to diverse audiences
- Pro-active and team-oriented aptitude
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