Investment Risk - Analyst

Shape how risk is understood in one of the fastest‑growing areas of investment management. In this role, you will gain direct exposure to alternative investments / fixed income portfolio while helping drive innovation in risk analytics and decision-making. You will collaborate with investment teams and senior stakeholders across the region to deliver meaningful insights that influence portfolio outcomes. This is an opportunity to combine analytical skill, market understanding, and emerging technologies to make a tangible impact.

As an Investment Risk Analyst within the APAC Asset Management Risk team, you help identify, assess, and manage risks across alternative investment / fixed income portfolios. You work closely with investment professionals and partners across regions to provide insights that improve portfolio construction and risk transparency. We offer a collaborative and forward‑looking environment where you can develop deep investment expertise while contributing to innovation in analytics and data‑driven risk management. Your work supports better decision‑making in dynamic market conditions.

Job responsibilities:

• Provide independent risk oversight for portfolios across APAC, with coverage across Fixed Income and/or Alternative Investments depending on allocation
• Analyze portfolio exposures and key risk drivers, including (as applicable) rates/duration/yield curve, spread/credit, currency/FX, derivatives, liquidity, concentration, factor, model, and scenario/stress risks
• Monitor market developments and identify emerging risks driven by macroeconomic, geopolitical, regulatory, and market‑structure changes
• Evaluate risk/return characteristics of investment strategies and appropriately challenge portfolio positioning and assumptions
• Escalate material risk developments (e.g., market stress, liquidity deterioration, model/assumption breakdowns) with clear framing and recommended actions/questions
• Produce and present clear, actionable risk insights for portfolio managers, senior leaders, and risk governance forums
• Support investment reviews, risk committees, product approvals, and related governance processes
• Develop and enhance risk metrics, dashboards, and reporting to improve transparency and decision‑making
• Leverage data analytics, automation, and AI tools to strengthen monitoring, reporting, and risk intelligence
• Partner with colleagues across Investments, Risk, Technology, Data, Product Development, and Control functions
• Support regulatory reviews, internal governance requirements, and management reporting
• Contribute to strategic initiatives focused on innovation, process improvement, and risk transformation

Required qualifications, capabilities and skills:

• Bachelor’s degree (or equivalent) in Finance, Economics, Mathematics, Engineering, Computer Science, Data Science, or a related field
• Strong analytical and quantitative skills, with the ability to evaluate complex investment and portfolio risks
• Working understanding of financial markets and investment products (fixed income, derivatives, and/or alternative strategies)
• Ability to synthesize information and communicate risk issues clearly in writing and in discussions with technical and non‑technical audiences
• Strong organizational skills and ability to manage multiple priorities in a fast‑paced environment
• Demonstrated ownership, intellectual curiosity, and attention to detail
• Ability to work independently and collaborate effectively across teams and regions
• Demonstrated interest in investment risk management, portfolio analytics, market structure, and emerging technologies

Preferred qualifications, capabilities and skills:

• 2+ years of relevant experience in asset management, investment risk management, portfolio analytics, research, or related fields
• Experience in one or more of the following:
  • Fixed income markets (rates, credit products, structured/credit instruments) and related derivatives
  • Alternative investments and/or systematic/quantitative strategies
• Familiarity with risk analytics such as VaR, stress testing, scenario analysis, factor models, performance attribution, or liquidity risk frameworks
• Experience with data/analytics tools such as Python, SQL, Tableau, Power BI, Alteryx, or similar technologies
• Knowledge of quantitative techniques, machine learning, or AI‑enabled analytical solutions