What are the responsibilities and job description for the Quantitative Developer (Options/Vol) position at Selby Jennings?
We are working with a leading Tier 1 hedge fund that is looking to bring on a Quantitative Developer to continue the build-out of a Cross-Asset Options/Vol pod in Miami. In this role, you will work directly with an experienced Portfolio Manager to build and maintain tools and libraries that will support the team’s options trading strategies. This is a unique opportunity to contribute to the growth of a high-performance trading team. The position offers flexibility for relocation to Miami or the option to travel to the office on a monthly basis.
Responsibilities:
- Develop and maintain robust applications and tools to support the team's trading strategies and research.
- Construct and implement volatility surface fitters and local vol. models
- Design and implement backtesting methodologies to evaluate the effectiveness of trading strategies and models.
- Support the development and ongoing refinement of pricing models and libraries to ensure accuracy and relevance in a dynamic market environment.
- Build and maintain an organized and accessible model storage and library system, ensuring ease of use and integration with other tools and workflows.
- Collaborate with Portfolio Managers (PMs) to create ad-hoc tools and solutions tailored to specific needs and requests.
- Continuously improve existing tools and platforms to enhance functionality, performance, and user experience.
- Provide technical expertise and support for the implementation and optimization of quantitative strategies.
Requirements:
- 2 years of experience in a development role on an options trading desk, with a strong understanding of trading workflows and quantitative finance concepts.
- Expert proficiency in Python for application development and data manipulation. Experience with JavaScript and React is a plus.
- Demonstrated experience in building, maintaining, and optimizing model libraries to support trading desks, with a focus on usability, efficiency, and integration.
- Advanced degree (Master's or Ph.D.) in a Quantitative field such as Computer Science, Financial Engineering, Statistics, or a related discipline.
- Proven experience in implementing systematic derivative strategies, with a solid understanding of pricing and backtesting.
- Strong problem-solving and analytical skills, with the ability to translate complex quantitative models into user-friendly tools and systems.
- Experience working in a fast-paced, high-performance environment with a focus on delivering reliable and efficient software solutions.
- Excellent communication skills, with the ability to collaborate effectively with traders, portfolio managers, and other team members.
Salary : $150,000 - $200,000
