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Quant Finance Analyst Jobs (NOW HIRING)

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Portfolio Analytics Resume & LinkedIn Optimization Guide students in: * Quant-focused resume ... Financial Engineering * Operations Research * Economics * Quantitative Finance * Related ...

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Portfolio Analytics Resume & LinkedIn Optimization Guide students in: * Quant-focused resume ... Financial Engineering * Operations Research * Economics * Quantitative Finance * Related ...

Sr. Quantitative Finance Analyst

Chicago, IL · On-site

$88K - $109K/yr

Overview of the Role - The position provides an excellent opportunity for a Market Risk Quant to be ... Position Overview - As a senior quantitative finance analyst in MRQ team, you will be responsible ...

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Quant Finance Analyst information

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$56.5K

$133.9K

$240K

How much do quant finance analyst jobs pay per year?

As of Jul 17, 2026, the average yearly pay for quant finance analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

Is a quant analyst high paying?

Quantitative analysts, or quants, are generally among the higher-paid roles in finance due to their specialized skills in mathematics, programming, and financial modeling. Salaries can vary based on experience, location, and firm size, but they often include lucrative bonuses and incentives. Advanced degrees and proficiency in tools like Python, R, or MATLAB are common requirements for high compensation in this field.

Is 40 too old to become a quant?

Age is not a strict barrier to becoming a quantitative finance analyst, as the field values skills in mathematics, programming, and data analysis. Many professionals transition into quant roles later in their careers by acquiring relevant certifications, such as CFA or advanced degrees, and developing expertise in tools like Python, R, or MATLAB.

Does JP Morgan hire quants?

JP Morgan hires quantitative analysts, often called quants, for roles in trading, risk management, and financial modeling. These positions typically require strong skills in mathematics, programming, and data analysis, and candidates often have advanced degrees in related fields. The firm values expertise in tools like Python, C++, and statistical software.

What is the difference between Quant Finance Analyst vs Quantitative Researcher?

AspectQuant Finance AnalystQuantitative Researcher
Required CredentialsDegree in finance, mathematics, or related field; often CFA or similar certificationsAdvanced degrees (Master's or PhD) in mathematics, statistics, or finance; research-focused certifications
Work EnvironmentFinancial firms, hedge funds, investment banks; focus on trading strategies and risk managementResearch institutions, hedge funds, or financial firms; focus on developing models and algorithms
Employer & Industry UsageCommonly employed in finance for trading, risk analysis, and portfolio managementPrimarily in research roles within finance, academia, or tech-driven finance firms

While both roles require strong quantitative skills and relevant credentials, Quant Finance Analysts focus on applying models to trading and risk management, whereas Quantitative Researchers emphasize developing new models and algorithms for financial markets.

What does a quant finance analyst do?

A quant finance analyst develops and applies mathematical models to analyze financial data, assess risk, and inform trading or investment decisions. They often use programming languages like Python or R and work with large datasets in fast-paced financial environments.
More about Quant Finance Analyst jobs
What cities are hiring for Quant Finance Analyst jobs? Cities with the most Quant Finance Analyst job openings:
What states have the most Quant Finance Analyst jobs? States with the most job openings for Quant Finance Analyst jobs include:
What job categories do people searching Quant Finance Analyst jobs look for? The top searched job categories for Quant Finance Analyst jobs are:
Infographic showing various Quant Finance Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Quant Finance Career Coach

Quant Finance Career Coach

OPTWISE CONSULTING LLC

New York, NY • Remote

$40 - $50/hr

Part-time

Posted 22 days ago

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Job description

We are a North America-based career coaching firm dedicated to helping students and early-career professionals secure competitive positions at leading quantitative finance firms, hedge funds, proprietary trading firms, investment banks, and fintech companies.

Our students come from top universities including CMU, Cornell, MIT, Stanford, Berkeley, Princeton, Columbia, UChicago, NYU, Waterloo, and other leading institutions. We provide personalized career coaching that includes resume development, interview preparation, networking strategy, technical guidance, and recruiting support.

We are seeking experienced Quant Finance Career Coaches who have firsthand industry experience and a passion for mentoring the next generation of quantitative finance professionals.

Responsibilities

As a Quant Finance Career Coach, you will:

Career Strategy

  • Conduct 1-on-1 career consultations
  • Evaluate students' backgrounds and identify strengths and gaps
  • Develop customized recruiting roadmaps
  • Help students target appropriate firms and roles

Examples include:

  • Quant Research
  • Quant Trading
  • Quant Developer
  • Quantitative Analyst
  • Risk Quant
  • Systematic Trading
  • Algorithmic Trading
  • Portfolio Analytics

Resume & LinkedIn Optimization

Guide students in:

  • Quant-focused resume writing
  • Technical storytelling
  • Research presentation
  • Project positioning
  • GitHub optimization
  • LinkedIn branding

Technical Interview Preparation

Coach students on:

Mathematics

  • Probability
  • Statistics
  • Linear Algebra
  • Optimization
  • Stochastic Processes

Programming

  • Python
  • C++
  • SQL
  • Data Structures
  • Algorithms

Quant Topics

  • Options
  • Derivatives
  • Portfolio Theory
  • Market Microstructure
  • Time Series
  • Machine Learning
  • Factor Models

Mock Interviews

Conduct realistic mock interviews including:

  • Technical interviews
  • Quant brainteasers
  • Probability questions
  • Coding interviews
  • Behavioral interviews
  • Research discussions

Provide detailed feedback and improvement plans.

Recruiting Support

Advise students on:

  • Internship recruiting
  • Full-time recruiting
  • Networking strategy
  • Referral strategy
  • Recruiting timelines
  • Offer negotiation

Student Mentorship

  • Track student progress
  • Assign weekly action items
  • Review applications
  • Support recruiting throughout the hiring cycle
  • Provide motivation and accountability

Required Qualifications

  • Bachelor's degree in:
    • Mathematics
    • Statistics
    • Computer Science
    • Physics
    • Financial Engineering
    • Operations Research
    • Economics
    • Quantitative Finance
    • Related quantitative discipline

Preferred:

Master's or PhD

Professional Experience

Minimum 3+ years in one or more of the following:

  • Quant Research
  • Quant Trading
  • Quantitative Development
  • Quantitative Risk
  • Systematic Investing
  • Portfolio Analytics
  • Financial Engineering
  • Algorithmic Trading

Experience at leading firms is highly preferred.

Technical Skills

Strong knowledge of:

Programming

  • Python
  • C++
  • SQL

Quantitative Topics

  • Probability
  • Statistics
  • Machine Learning
  • Time Series
  • Derivatives
  • Optimization
  • Numerical Methods

Recruiting Knowledge

Deep understanding of recruiting at:

  • Hedge Funds
  • Proprietary Trading Firms
  • Investment Banks
  • Asset Managers
  • FinTech Companies

Knowledge of:

  • OA assessments
  • Quant interviews
  • Coding interviews
  • Brainteasers
  • Research presentations
  • Hiring timelines

Coaching Skills

Excellent ability to:

  • Explain complex concepts clearly
  • Mentor students with diverse backgrounds
  • Deliver actionable feedback
  • Build confidence
  • Communicate professionally

Preferred Qualifications

Experience with:

  • ACM/ICPC
  • Kaggle
  • Putnam
  • Math Olympiad
  • Competitive Programming
  • Quant competitions

Ideal Candidate

You are someone who:

  • Has worked in quantitative finance or systematic investing
  • Understands what top firms look for in candidates
  • Enjoys mentoring students
  • Stays current with hiring trends and interview practices
  • Can simplify advanced quantitative concepts
  • Is organized, responsive, and student-focused