Financial Risk Specialist

3 days ago

Dublin, Dublin City, Ireland beBeeRisk Full time $100,000 - $125,000
Quantitative Risk Analyst

About the Role:

Work in a dynamic environment supporting North America trading desks. Collaborate with teams to develop analytical models and ensure accurate risk calculations.

Main Responsibilities:

  • Counterparty Credit Risk (CCR) Exposure Calculation: Perform timely CCR exposure calculations on structured and exotic derivative products across all market and asset classes.
  • Analytical Model Development: Develop ad-hoc models in Python libraries for new products and structures, incorporating fundamental economic principles and derivative pricing models.
  • Model Validation and Improvement: Contribute to the validation of existing models, identifying areas for improvement and ensuring alignment with market dynamics and economic conditions.
  • Project Management: Manage CCR-related analytical tool projects, including conducting thorough testing, documenting requirements, and ensuring diligent project follow-up.
  • Production Issue Resolution: Conduct in-depth system investigations for production issues raised by risk managers and assist in the diagnosis and remediation of these issues, collaborating with relevant teams to facilitate resolution.
  • Model Implementation and Documentation: Lead the creation of model documentation and coordinate with relevant teams to test and implement CCR models effectively.
  • Advisory Role: Build and maintain strong relationships between front office businesses, internal risk management, and capital teams. Proactively advise on risk and capital-related projects and issues.
  • Collaboration and Communication: Communicate complex risk concepts to a wide range of stakeholders and assist project managers with testing new functions or features, monitoring progress, and providing timely reports.

Requirements:

  • Relevant years of experience in a quantitative role within financial or consulting services.
  • Comprehensive understanding of derivatives' risk, modeling, and pricing.
  • Strong product knowledge of a wide range of derivative structures across different asset classes (Fixed Income, Equity, Commodities, FX, Credit).
  • Knowledge of market and credit risk management techniques and frameworks is highly desirable.
  • Solid foundation in fundamental economics and its application to financial markets.
  • Experience with derivative pricing models and their limitations.
  • Proficiency in programming languages such as Python and C++.
  • Basic database skills and knowledge in relational databases.
  • Excellent spreadsheet skills.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and interpersonal skills.
  • Ability to apply economic principles to risk management and model development.
  • Master's or Ph.D. in a quantitative discipline such as Mathematics, Statistics, Economics, Physics, Engineering, or a related field.

Key Competencies:

  • Self-driven with a strong work ethic and the ability to work independently.
  • Excellent communication skills for quantifying risks and explaining them in a fast-paced environment.
  • Ability to lead discussions on structured products' credit exposure with a range of stakeholders.
  • Eagerness and ability to quickly grasp the complexity of structured derivatives.
  • Strong understanding of economic principles and their impact on derivative pricing and risk.

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