Investment Risk Analyst

Job Purpose:

The Investment Risk Analyst (Associate to Senior Associate level) will support the Head of Risk in monitoring and evaluating risk across ADCG’s multi-asset class investment portfolio. The role is intended to strengthen the Group’s risk management framework by providing analytical insights, enhancing oversight processes, and ensuring that investment activities align with ADCG’s overall risk appetite and governance standards.

Core Tasks, Responsibilities :

• Monitor and analyse portfolio risks across public markets, private equity, alternatives, and real estate.
• Conduct stress tests, scenario analysis, liquidity reviews, and concentration risk assessments.
• Prepare risk dashboards and reports for the Head of Risk, CIO, and Investment Committee.
• Support the risk review process for new investments, including co-investments and direct deals.
• Contribute to the development of risk policies, frameworks, and governance standards.
• Perform strategic asset allocation analysis, supporting decisions on capital deployment across asset classes in line with ADCG’s investment objectives
• Conduct HoldCo-level portfolio analysis, assessing aggregate exposures, diversification, and performance attribution across the Group’s global investments.

Experience:

• 3–7 years of experience in  <span style="background:rgba(0,0,0,0) none repeat scroll 0% 0%;color:rgba(0,0,0,0.9);margin:0px;padding:0px;border:0px;vertical-align:baseline;font-weight:600;font-family:Calibri;font-size:18px;">investment risk, portfolio risk, or investment analysis , ideally within an asset manager, private equity firm, investment bank, or family office.
• Strong academic background (Finance, Economics, Engineering, or related discipline). CFA/FRM or progress toward these qualifications is advantageous.
• Advanced Excel skills; familiarity with Python, R, SQL

    Apply  <span style="background:rgba(0,0,0,0) none repeat scroll 0% 0%;color:rgba(0,0,0,0.9);margin:0px;padding:0px;border:0px;vertical-align:baseline;font-weight:600;font-family:Calibri;font-size:18px;">data science and machine learning techniques  to:

• Enhance risk modelling and early warning signals (e.g., anomaly detection, predictive analytics).
• Automate data pipelines and portfolio monitoring tools.
• Extract insights from unstructured data (e.g., news, reports, alternative data).
• Knowledge of Barra, PORT, Aladdin, or other Risk models and risk systems is a must
• Factor risk decomposition and exposure analysis
• Portfolio optimization and scenario modelling
• Performance and risk attribution
• Strong analytical and problem-solving skills, with the ability to present complex ideas clearly.
• Self-starter with integrity, attention to detail, and the ability to thrive in a  <span style="background:rgba(0,0,0,0) none repeat scroll 0% 0%;color:rgba(0,0,0,0.9);margin:0px;padding:0px;border:0px;vertical-align:baseline;font-weight:600;font-family:Calibri;font-size:18px;">fast-paced, entrepreneurial environment .