Quantitative Developer

Our client, a proprietary options trading firm, is seeking a highly motivated Quantitative Developer to join their team. This individual will work within a trading team, collaborating closely with traders and software engineers to enhance derivatives pricing models and develop innovative quantitative solutions. The developer will be directly involved in end-to-end research initiatives, translating trader intuition into robust production models. The ideal candidate thrives in a fast-paced environment and is eager to contribute to a high-performing team focused on impacting how market data is leveraged.Role Interface directly with traders to understand their use cases and the nuance of given models. Work on end-to-end research initiatives to map trader intuition into quantitative models. Collaborate with software engineers to ensure reliable data delivery and translate research results into production. Optimize and support existing models while driving new ideas for leveraging market data.Essential SkillsBachelors, Masters, or PhD in Mathematics, Computer Science, Statistics, Physics, Financial Engineering, or a related quantitative field. 3+ years of experience in quantitative research, machine learning, deep learning, statistics, or quantitative trading. Programming experience in Python, specifically around exploring large datasets. Proven experience working with Equity Derivatives.Beneficial Skills A demonstrated track record of applying modeling techniques to real-world problems. Experience working with large, noisy, or incomplete data sets and investigating underlying data issues. Comfort implementing models directly from research papers. The ability to collaborate with subject matter experts in defining appropriate features and metrics for a given model.If interested, reply and Goliath Partners will be in touch!