Quantitative Risk Modeller (Derivatives Valuation) - Global Consulting firm
ExperienceMid Level (6-10 years) | Senior (11-15 years)
Est. StartFebruary 13, 2025
Duration6 Month(s)
Global Consulting firmGlobal Consulting firm
On Site
United Arab EmiratesUnited Arab Emirates
Required Skills
Asset Management
Derivatives
Valuation
Project Overview

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.
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