Job Purpose

The Quantitative Risk Management Analyst joins a very dynamic team exposed to and challenged with complex pricing and risk management problems requiring quantitative research, large scale implementations, supporting numerical libraries, prototyping and supporting of state-of-the-art front office pricing and risk management systems. The primary role for this position will be to support and become a key contributor to the creation of innovative pricing and risk solutions and systems in a peer reviewed environment, as well as support and contribute towards the design and implementation of new business initiatives as well as analyze daily and real-time market information for industry leading over-the-counter credit derivatives clearinghouse. The Quantitative Risk Management Analyst will also be responsible in supporting all aspects of the risk model implementations as well as day-to-day pricing and risk management and work on its improvements and enhancements, including identifying, developing, and overseeing risk management processes, controls, tools, and techniques.

The Analyst must be results-oriented, self-motivated and have the ability to thrive in small teams and very fast-paced environments. This role requires frequent interaction with Risk Developers, Risk Managers, Quants and Senior Management. The candidate must have the ability to work independently; must have excellent communication skills; excellent organizational skills and decision-making ability.

Responsibilities

• Support development, validation and support of quantitative models and methodologies
• Support implementation and development of quantitative solutions for risk management
• Support implementation and development of enhancements to Risk systems
• Support and help engage in innovative research tasks for the team

Knowledge and Experience

• Post graduate degree in financial engineering, mathematical finance or similar (MS or PhD required)
• Strong understanding of fixed income markets as well as credit and equity derivatives
• Direct experience in a quantitative or quantitative developer related role
• Direct scientific problem solving using quantitative focused software tools e.g., MATLAB, Python or VBA
• Minimum 1 years of professional experience using C#, Java, or C
• Direct experience using retrieving data from structured databases (SQL/Oracle)
• Ability to work under pressure, formulate and articulate solutions and defend assumptions
• Ability to solve real world business problems using quantitative and computational techniques
• Strong ability to communicate technical ideas and concepts to colleagues outside the domain
• Strong analytical and organizational skills with acute attention to details

Schedule

This role offers work from home flexibility one day per week.

Intercontinental Exchange, Inc. is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin or ancestry, age, disability or veteran status, or other protected status.

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