Quant Risk Analyst
Found in: Whatjobs AE C2 - 2 weeks ago
About Our Client
Our client is a highly reputed brokerage based in Abu Dhabi, UAE.
Job Description
Risk Modeling: Develop, implement, and enhance quantitative risk models to assess market, credit, and liquidity risks. Utilise statistical and mathematical techniques to analyse large datasets, identify patterns, and forecast potential risks.
Risk Assessment: Conduct in-depth analysis of risk exposures and potential vulnerabilities. Evaluate the impact of market events, financial products, and regulatory changes on the company's risk profile. Monitor risk metrics, such as Value-at-Risk (VaR), stress testing, scenario analysis, and sensitivity analysis.
Risk Reporting: Prepare regular risk reports and presentations for senior management and regulatory authorities. Communicate complex risk concepts and findings in a clear and concise manner. Ensure accurate and timely reporting of risk metrics, key risk indicators, and risk appetite frameworks.
Risk Mitigation Strategies: Collaborate with cross-functional teams, including traders, portfolio managers, and compliance officers, to develop risk mitigation strategies and action plans. Propose hedging strategies and risk-reducing techniques to manage market risks. Contribute to the development of risk management policies, procedures, and controls.
Data Analysis and Modeling: Utilise advanced statistical and econometric techniques to analyse historical data, identify correlations, and build robust risk models. Employ programming languages (Python) and quantitative tools to manipulate data, conduct simulations, and back-test risk models.
The Successful Applicant
- Bachelor's or Master's degree in Mathematics, Statistics, Financial Engineering, Economics, or a related quantitative field.
- Between 1-3 years' experience in quantitative risk management, preferably within a brokerage or financial institution.
- Strong proficiency in quantitative analysis, risk modeling, and statistical techniques.
- Proficiency in programming languages, such as Python for data analysis and modeling.
- Solid understanding of financial markets, derivatives, and risk management frameworks.
- Familiarity with risk management concepts and methodologies, including VaR, stress testing, and scenario analysis.
- Excellent analytical and problem-solving skills with a keen attention to detail.
- Strong written and verbal communication skills to effectively convey complex concepts to diverse stakeholders.
- Ability to work independently, prioritise tasks, and manage multiple deadlines.
- Professional certifications such as FRM (Financial Risk Manager) or CFA (Chartered Financial Analyst) are a plus.
What's on Offer
- Excellent exposure
- Highly reputed organisation
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