Market Risk Quantitative Developer

placeGeylang scheduleFull-time calendar_month 
Hartree Risk Management is the group that measures and monitors the trading, hedging, and marketing activities while providing transparency to Senior Management of the underlying risks on a consistent basis across the company. We are seeking a motivated and analytical individual to join our Market Risk team as a Quantitative Developer.

This role offers a unique opportunity to gain hands-on experience in quantitative finance and software development within a dynamic and fast-paced environment. The successful candidate will work closely with experienced professionals to assist in the development, implementation, and testing of quantitative models and risk management tools used to assess market risk exposures.

Responsibilities
  • To understand risk analytics requirements and translate them into technical specifications for quantitative models and risk management systems.
  • Design, develop, and maintain software applications and libraries for pricing derivatives, risk metrics, and scenario analysis.
  • Implement and test quantitative models in development and production environments to ensure accuracy and reliability of results.
  • Test and validate to ensure the quality and integrity of developed software, including identifying and resolving issues as needed.
  • Work closely with team members to document processes, procedures, and technical specifications for developed systems and models.
  • Stay informed about industry trends, best practices, and regulatory requirements related tomarket risk management and quantitative finance.
  • Participate in team meetings, training sessions, and other learning opportunities to enhance knowledge and skills in quantitative finance and software development.
Required Qualifications
  • 3 to 5 years experience in financial software development
  • Bachelor's or advanced degree in Computer Science, Mathematics, Finance, or a related quantitative field.
  • Strong programming skills in languages such as Python, with a solid understanding of software development principles and practices.
  • Interest in financial markets, derivatives pricing, and risk management concepts, with coursework or projects related to quantitative finance preferred.
  • Basic knowledge of quantitative finance techniques, including stochastic calculus, numerical methods, and statistical analysis.
  • Excellent analytical and problem-solving skills, with the ability to learn quickly and apply new concepts effectively.
  • Strong communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.
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