Position Details
About this role
Quantitative Analyst at ICE develops and supports enterprise quantitative models and systems, providing model research, development, and strategic recommendations for the financial industry, collaborating with Quant Research, Data Analytics, Risk Management, and Technology teams.
Key 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 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
Technical Overview
Role emphasizes mathematical methods and high-performance computing with Python, SQL, and C++-like concepts; candidate will work on large market data sets and in-house R&D analytics tools to automate model testing, analysis, and visualization.
Ideal Candidate
The ideal candidate is a mid-level quantitative researcher with strong Python and SQL skills, a solid math background, and experience in building and validating quantitative models in a fast-paced financial setting.
Must-Have Skills
Nice-to-Have Skills
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Master's degree or higher in quantitative fields, Proficiency in Python and SQL, Experience in a high-velocity environment
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile