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Mid-level metro role with specialized quantitative requirements reduces broad applicant competition.
Model risk and regulatory banking expertise is highly industry-specific, limiting cross-industry transferability.
Explicit 3–6 years plus domain-specific quantitative modeling and toolset expectations make shortlisting stringent.
Develop and implement risk advisory solutions focusing on Credit and Market Risk for financial institution clients.
Support model development, validation, and implementation involving quantitative analytics and market risk models (VaR, ES, IRB, IFRS 9, FRTB, IRRBB, CVA).
Manage risk across Spot and Derivative markets for multiple asset classes, ensure compliance with regulatory frameworks (Basel, EBA, CBUAE), and mentor junior consultants.
3+ years of experience in financial risk management and/or quantitative analysis in financial institutions or consultancy/big 4 firms.
Bachelor’s degree in Finance, Financial Engineering, Financial Mathematics, Economics, Applied Mathematics, Physics, or similar.
Experience with risk management and analytical tools such as Python, Bloomberg, R, SAS, MATLAB.
Client-facing experience with strong communication and presentation skills; willingness to travel regularly to clients.
Experienced in applying advanced quantitative analytics and financial modelling within risk and regulatory environments.
Capable of managing multiple client engagements and delivering high-quality, compliant solutions under fast-paced conditions.
Demonstrates leadership potential by mentoring juniors and maintaining high-quality standards across deliverables.