Our client, a global consulting firm, is working with an Asset Management Company (AMC) and is seeking a highly skilled Quantitative Risk Modeller with a strong background in financial derivatives valuation. The ideal candidate will have experience working with advanced modelling techniques, including Monte Carlo simulations and CFAR (Cash Flow at Risk), and will play a pivotal role in monitoring risks, cash flows, and complex derivative products.
This role provides an excellent opportunity to work in a dynamic and innovative environment within the asset management industry.
Key Responsibilities
Derivatives Valuation and Modelling
- Develop and implement valuation models for complex derivative products.
- Utilize Monte Carlo simulation and CFAR (Cash Flow at Risk)techniques to analyze and model financial instruments.
- Collaborate with stakeholders to ensure accurate pricing and risk assessment of derivatives.
Risk Monitoring and Reporting
- Oversee day-to-day monitoring of financial risks associated with derivative portfolios.
- Track and analyze cash flows to identify potential risks and discrepancies.
- Generate comprehensive risk reports to support decision-making processes.
Data Analysis and Optimization
- Extract, process, and analyze large datasets to derive actionable insights.
- Ensure data quality and consistency in modelling and reporting.
- Contribute to the optimization of existing modelling frameworks and tools.
Qualifications
- Educational Background: Degree in Quantitative Finance, Mathematics, Statistics, or related fields..
- Experience:
- 5+ years of experience in derivatives valuation and quantitative modelling.
- Proven expertise in Monte Carlo simulations and CFAR-related modelling techniques.
- Prior experience with asset management firms or financial institutions is highly desirable.
- Technical Skills:
- Proficiency in programming languages such as Python, R, or MATLAB.
- Strong understanding of financial derivatives, risk management practices, and valuation methodologies.
- Soft Skills:
- Excellent analytical and problem-solving abilities.
- Strong communication skills to present findings effectively to stakeholders.
- Ability to work in a fast-paced and collaborative environment.