Jr. Quant Analyst at Verition Fund Management LLC in Norwalk, CT

Summary: Verition Fund Management LLC is a multi-strategy hedge fund focused on global investment strategies. They are seeking a recent college graduate or graduate student with strong technical and quantitative skills to design and maintain quantitative tools and models for financial markets. Responsibilities: - Design, build, and maintain quantitative tools and models used by the desk—pricing engines, curve fitting tools, scenario analysis frameworks, and interactive dashboards. Your code ships to production and gets used daily - Identify manual workflows and replace them with automated, AI-augmented pipelines. Build LLM-powered tools for filing extraction, earnings call analysis, data aggregation, and research acceleration. You will be the person who makes the desk faster and more systematic - As you develop market knowledge, surface trade ideas and risk management insights through the tools and models you’ve built. Translate quantitative analysis into actionable conclusions - Apply rigorous data science practices to everything you build: proper experiment design, out-of-sample validation, reproducible pipelines, and version-controlled code. The desk relies on the integrity of its quantitative work Required Qualifications: - Bachelor's, Masters, or PhD (2026) in computer science, applied math, statistics, physics, engineering, financial engineering, or a related quantitative field - Graduate candidates should have thesis or research work involving real-world data and computation - Coding Proficient in Python with demonstrated ability to build end-to-end projects - Comfortable with data manipulation, APIs, and libraries - Writes modular, version-controlled code—not stream-of-consciousness notebooks - Hands-on experience building with AI tooling: LLM-powered agents, RAG pipelines, NLP applications, or AI-assisted development - Must demonstrate using AI as a building material for real projects, not just as a consumer - Strong foundation in probability, statistics, and ideally stochastic processes or optimization - Comfort with mathematical modeling and the ability to pick up new quantitative frameworks quickly - Graduate candidates should demonstrate deeper command of these areas through thesis work or coursework - At least one substantial project, thesis, or published research demonstrating quantitative thinking applied to a real-world problem - Should demonstrate how you think and build, not just what tools you know - Familiarity with Git/GitHub, collaborative workflows, parameter versioning, and reproducible research - Evidence of writing code meant to be read, maintained, and extended by others Required Skills: Python, AI tooling, Quantitative analysis Important Skills: Probability, statistics, Mathematical modeling, Git/GitHub Nice-to-Have Skills: Collaborative workflows, Version-controlled code, Research experience