Job Description

:

Job Purpose

The successful candidate will join ICE's Global Quantitative Research team, which develops and supports enterprise-level quantitative models and systems. This role focuses on research and development of models for ICE Data Services and Clearing Houses, with direct exposure to interest rate, equity, credit, and commodity derivatives.



The position requires strong quantitative finance expertise, programming proficiency, and mathematical rigor. Effective communication across multidisciplinary teams is essential.

Responsibilities

Build models to price ETD and complex derivatives across all asset classes. Model volatility surface dynamics for liquid and illiquid assets Drive clearing house margin, stress and collateral management models R&D. Contribute strongly to "hands-on" and ad-hoc requests for development and solutions in time-critical situations. Interact with risk departments to provide support for existing clearing house quantitative models. Contribute to the core quantitative library used by the organization.

Knowledge and Experience

MSc or PhD in Mathematics, Physics, Quantitative Finance, Statistics, or a related field. Strong foundation in financial derivatives pricing and risk management. Proficiency in C++ and Python. Solid understanding of statistics, especially time series analysis. Experience working under pressure and meeting tight deadlines. Ability to work independently and collaboratively within diverse teams. Skilled in presenting complex concepts to senior stakeholders. Minimum 2 years of experience in quantitative finance, preferably with model development or implementation.

Preferred Knowledge and Experience

Advanced C++ expertise. Experience in options pricing theory. Background in data analytics. * At least 1 year of relevant industry experience.