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Investment Risk Analyst

Abu Dhabi, United Arab Emirates

About Abu Dhabi Capital Group

Abu Dhabi Capital Group (ADCG) is a leading private investment firm with a globally diversified portfolio across capital markets, alternative investments, private equity (co-investments, directs, and funds), and real estate (private equity and income-yielding assets) . We combine the strength of a long-term investment horizon with the flexibility and entrepreneurial spirit of a family office.


The Role

We are seeking an Investment Risk Analyst (Associate to Senior Associate level) to join our Risk team, working closely with the Head of Risk. This is a unique opportunity to gain exposure across multi-asset class investments while contributing to the enhancement of ADCG’s risk management framework and oversight processes.


Key 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.


Candidate Profile

  • 3–7 years of experience in 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 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 fast-paced, entrepreneurial environment .

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