Quantitative Risk Management Analyst

Job Purpose

The Quantitative Risk Management Analyst (Quant) joins a very dynamic team at a leading over-the-counter (OTC) credit derivatives clearinghouse. The role involves exposure to and challenges with complex pricing and risk management problems, requiring quantitative research, large-scale implementations, support for numerical libraries, model development and prototyping, as well as support for 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 to support and contribute toward the design and implementation of new business initiatives. This role also requires the quantitative analysis of daily and real-time market information for this industry-leading OTC credit derivatives clearinghouse. The Quantitative Risk Management Analyst will also be responsible for supporting all aspects of the risk model implementations, as well as day-to-day pricing and risk management, and for leading their improvements and enhancements, including identifying, developing, and overseeing risk management processes, controls, tools, and techniques.

The analyst must be results-oriented and self-motivated, and must 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; 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 models and systems
• Support and help engage in innovative quantitative risk management research

Knowledge and Experience

• Post graduate degree in financial engineering, mathematical finance or similar (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
• 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

Illinois Base Salary Range

#LI-AR1

#LI-Hybrid