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Finance 🏢 Full Time ⭐️ Verified

Senior Financial Risk Analyst

CapitalEdge Financial Group
London
Salary Estimate
GBP 85.000 – GBP 110.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join CapitalEdge Financial Group as a Senior Financial Risk Analyst in London's prestigious Canary Wharf district. We're seeking a dynamic professional to revolutionize our risk management framework in the evolving financial landscape. This pivotal role combines cutting-edge analytical techniques with strategic business acumen to safeguard our £50B+ portfolio. You'll collaborate with C-suite executives to implement Basel III/IV compliance protocols while pioneering AI-driven risk mitigation strategies. Our award-winning team offers unparalleled mentorship and exposure to global markets in an environment that champions innovation and professional growth.

Responsibilities

  • Develop and deploy advanced quantitative risk models for credit, market, and operational exposures
  • Lead stress testing scenarios and regulatory reporting (PRA/FCA) with 99.9% accuracy
  • Design real-time dashboards using Python/R to visualize risk KPIs for executive stakeholders
  • Coordinate with global trading desks to embed risk controls into algorithmic trading platforms
  • Mentor junior analysts while driving continuous improvement in risk methodologies
  • Present risk assessments to the Asset & Liability Committee (ALCO) quarterly

Qualifications

  • MSc/PhD in Quantitative Finance, Mathematics, or Statistics from Russell Group university
  • 7+ years in financial risk management at Tier 1 investment banks
  • Expertise in Python (Pandas, Scikit-learn), SQL, and R for risk modeling
  • Basel III/IV certification and FRM designation required
  • Proven track record of implementing IFRS 9 Expected Credit Loss models
  • Advanced proficiency in Monte Carlo simulations and machine learning algorithms
  • Experience with Aladdin, Murex, or RiskMetrics systems

Required Skills

Risk Modeling Python R SQL Basel III/IV FRM IFRS 9 Monte Carlo Simulations Machine Learning Regulatory Reporting

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