Position Details

Type Not Specified

Experience mid

Education Master's Degree in math, quantitative finance, physics, statistics, computer science or similar quantitative fields

Category Data & Analytics

About this role

Role focuses on researching, developing, and supporting enterprise quantitative models and systems within ICE's Quant Group, including model analytics, data generation, and collaboration with multiple business units.

Key Responsibilities

Design and develop quantitative model analytics frameworks to assess model usage and performance
Create test data sets and portfolio strategies for validators and regulators
Investigate model behavior and perform root cause analysis
Provide documentation of methods, techniques, results, and analysis
Develop and support in-house quantitative R&D platform and analytics tools to automate model testing, analysis, and visualization

Technical Overview

Stack emphasizes Python and SQL with strong mathematical foundations (stochastic processes, probability theory, numerical methods). Responsibilities include building an in-house R&D platform and analytics tools for automated model testing and visualization.

Ideal Candidate

The ideal candidate is a mid-level quantitative researcher with strong Python/SQL and mathematical background, capable of designing and validating enterprise quantitative models in a fast-paced fintech environment.

Must-Have Skills

Master’s DegreePythonSQLObject-oriented programmingStochastic processProbability theoryNumerical methodsStrong analytical and organizational skillsStrong communication skills

Nice-to-Have Skills

Strong knowledge of PythonSQLand C++Strong knowledge in object-oriented programmingWork experience in Options Pricing TheoryWork experience in Data Analytics

Required Skills

Master’s Degree in mathquantitative financephysicsstatisticsor computer science; Python; SQL; object-oriented programming; stochastic process; probability theory; numerical methods; strong analytical and organizational skills; strong communication skills; data analytics; model analytics frameworks; portfolio strategies

Hard Skills

PythonSQLobject-oriented programmingStochastic processProbability theoryNumerical methods

Soft Skills

Analytical thinkingAttention to detailVerbal and written communicationTeam collaboration

Industry & Role

Industry Fintech

Job Function Develop and validate enterprise quantitative models and analytics for financial markets

Role Subtype Quantitative Research Analyst

Tech Domains Python, SQL / PostgreSQL

Keywords for Your Resume

AnalystQuantitative AnalystQuantitative ResearchPythonSQLobject-oriented programmingStochastic processProbability theoryNumerical methodsData AnalyticsR&D platformanalytics toolsmodel validatorsportfolio strategiesregulatorsMaster’s Degreemodel development

Deal Breakers

No Master’s Degree or higher in a relevant quantitative field, Lack of proficiency in Python or SQL, Inability to work in a high-velocity environment

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Analyst, Quantitative Research

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