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- Bachelor's orMaster's degree in Mathematics, Statistics, FinancialEngineering, Economics, or a related quantitativefield.
- Between 1-3 years' experience inquantitative risk management, preferably within a brokerage orfinancial institution.
- Strong proficiency inquantitative analysis, risk modeling, and statisticaltechniques.
- Proficiency in programminglanguages, such as Python for data analysis andmodeling.
- Solid understanding of financialmarkets, derivatives, and risk managementframeworks.
- Familiarity with risk managementconcepts and methodologies, including VaR, stress testing, andscenario analysis.
- Excellent analytical andproblem-solving skills with a keen attention todetail.
- Strong written and verbal communicationskills to effectively convey complex concepts to diversestakeholders.
- Ability to work independently,prioritise tasks, and manage multipledeadlines.
- Professional certifications such asFRM (Financial Risk Manager) or CFA (Chartered Financial Analyst)are a plus.
Quant Risk Analyst - Abu Dhabi, United Arab Emirates - Michael page
