ZipRecruiter

Log In

1

Junior Quant Analyst Jobs (NOW HIRING)

Verition Group LLC

Jr. Quant Analyst

Norwalk, CT · On-site

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 ...

Squarepoint Capital

Junior Risk Manager

Manhattan, NY · Hybrid

... Quant Analyst Corporate Finance Analyst - General Ledger Investment Financial Research Analyst ... Junior Discretionary Trader Technology Junior Platform Specialist Investment Junior Quant ...

Squarepoint Capital

Quant Developer (Python)

Houston, TX · On-site +1

$48 - $66.25/hr

New York Investment Desk Quant Analyst Locations: London, Madrid, Montreal, Bangalore, Singapore ... Warsaw Investment Junior Commodities Fundamental Analyst Locations: Geneva, London, Paris ...

Squarepoint Capital

Junior UX/UI Engineer

Addison, TX · On-site +1

New York Investment Desk Quant Analyst Locations: London, Madrid, Montreal, Bangalore, Singapore ... Warsaw Investment Junior Commodities Fundamental Analyst Locations: Geneva, London, Paris ...

Squarepoint Capital

Network Specialist - ULL

Manhattan, NY · On-site +1

$41.30K - $47.40K/yr

New York Investment Desk Quant Analyst Locations: London, Madrid, Montreal, Bangalore, Singapore ... Warsaw Investment Junior Commodities Fundamental Analyst Locations: Geneva, London, Paris ...

next page

Showing results 1-20

People also search for

All JobsJunior Quant Analyst Jobs

Junior Quant Analyst information

See salary details

$15

$32

$53

How much do junior quant analyst jobs pay per hour?

As of May 28, 2026, the average hourly pay for junior quant analyst in the United States is $32.12, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $35.34 per hour, depending on experience, location, and employer.

What is the difference between Junior Quant Analyst vs Quantitative Analyst?

AspectJunior Quant AnalystQuantitative Analyst
Required CredentialsBachelor's degree in finance, mathematics, or related field; some certificationsBachelor's or master's degree; often more experience and certifications
Work EnvironmentEntry-level, supportive team, supervised tasksMore independent, complex analysis, decision-making responsibilities
Employer & Industry UsageFinancial firms, hedge funds, banksSame industries, with higher expectations and scope

The main difference between a Junior Quant Analyst and a Quantitative Analyst lies in experience, responsibility, and skill level. Junior roles are entry-level, focusing on learning and supporting analysis, while Quantitative Analysts handle more complex tasks independently. Both roles are common in finance and investment sectors, but the Quantitative Analyst position requires more advanced skills and experience.

More about Junior Quant Analyst jobs
What cities are hiring for Junior Quant Analyst jobs? Cities with the most Junior Quant Analyst job openings:
What are the most commonly searched types of Quant Analyst jobs? The most popular types of Quant Analyst jobs are:
What states have the most Junior Quant Analyst jobs? States with the most job openings for Junior Quant Analyst jobs include:
What job categories do people searching Junior Quant Analyst jobs look for? The top searched job categories for Junior Quant Analyst jobs are:
Junior Quant Analyst jobs near you
Infographic showing various Junior Quant Analyst job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 93% Full Time, and 6% Contract. Highlights an 93% Physical, and 7% Remote job distribution, with an average salary of $66,802 per year, or $32.1 per hour.

Jr. Quant Analyst

Verition Group LLC

Norwalk, CT • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008.  Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.

This role is designed for a recent college graduate or graduate student (Masters/PhD) with strong technical and quantitative skills who wants to apply them in financial markets. The core skills required are: the ability to write production-quality code, hands-on experience building with AI tooling, comfort working with real-world data, and rigorous quantitative thinking. Graduate candidates should bring deeper mathematical foundations and research rigor.

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.

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.
  • Development Practices Familiarity with Git/GitHub, collaborative workflows, parameter versioning, and reproducible research. Evidence of writing code meant to be read, maintained, and extended by others.

Apply