Quantitative Analyst, Quantitative Research

ICE; Atlanta (GA); On-site; USD 80,000 - 120,000; Full time

Job summary

ICE is seeking a Quantitative Analyst to join the Quant Group responsible for developing and supporting enterprise quantitative models. The role involves model research, development, and strategic recommendations for solving real-world financial problems.

Ideal candidates will have a Master’s Degree in a quantitative field and proficiency in programming languages like Python and SQL. Strong analytical skills and the ability to operate in a fast-paced environment are essential.

Qualifications

• Proficiency in Python, SQL, and object-oriented programming.
• Advanced knowledge in math including stochastic process, probability theory, and numerical methods.
• Ability to work in a high-performance, high-velocity environment.

Responsibilities

• Design and develop quantitative model analytics frameworks.
• Create relevant test data sets for model validation.
• Investigate model behavior and suggest improvements.
• Provide documentation of methods and results.
• Analyze large data sets including market data.
• Research and design innovative quantitative solutions.
• Develop and support in-house quantitative R&D platform.

Skills

Python

SQL

Object-oriented programming

Analytical skills

Communication skills

Education

Master’s Degree or above in math, quantitative finance, physics, statistics, computer science or similar quantitative fields

Tools

Quantitative R&D platform

Analytics tools

Job description

Job Purpose

The Quantitative Analyst will join the Quant Group which designs, implements, and supports enterprise quantitative models and systems. The primary role for this position will be to provide model research, development, and strategic recommendations to solve practical problems in the financial industry. The candidate for this job must have the ability to work in a fast‑paced environment, formulate and articulate solutions and defend assumptions. This role requires frequent interaction with Quant Research, Data Analytics, Risk Management, Technology Development and Senior Management.

Responsibilities

• Design and develop quantitative model analytics frameworks to assess model usage and performance.
• Create relevant test data sets and portfolio strategies to be submitted to the model validators and regulators.
• Investigate model behavior, carry out root cause analysis, and give model improvement suggestions.
• Provide documentation of methods, techniques, results, and analysis.
• Analyze large data sets, including positions, prices, and other market/liquidity data.
• Research and design innovative quantitative solutions for stakeholders.
• Develop and support in‑house quantitative R&D platform and analytics tools to automate model testing, analysis, and visualization.

Knowledge And Experience

• Master’s Degree or above in math, quantitative finance, physics, statistics, computer science or similar quantitative fields.
• Proficiency in Python, SQL, and object‑oriented programming.
• Advanced knowledge in math (stochastic process, probability theory, numerical methods).
• Ability to work in a high-performance, high-velocity environment.
• Strong analytical and organizational skills with acute attention to detail.
• Strong communication skills in both verbal and written English.

Preferred

• Strong knowledge of Python, SQL, and C++.
• Strong knowledge in object-oriented programming.
• Work experience in Options Pricing Theory.
• Work experience in Data Analytics.