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Quant Analyst Jobs (NOW HIRING)

Point72

Trader/Quant Analyst

Stamford, NY

Summary We are seeking a highly motivated and detail-oriented Trader/Quant Analyst with a strong background in trading and data analysis to join our investment team. The ideal candidate will have at ...

Point72

Trader/Quant Analyst

Stamford, NY · On-site

Summary We are seeking a highly motivated and detail-oriented Trader/Quant Analyst with a strong background in trading and data analysis to join our investment team. The ideal candidate will have at ...

Verition Group LLC

Equity L/S Desk Quant Analyst

Miami, FL · On-site

$150K - $200K/yr

We are seeking a Quant Analyst for our Fundamental Long/Short Equity business, reporting directly to the Equity L/S COO. This is a high-impact, high-growth role at the center of how the Equity L/S ...

Anson McCade

Quant Research Analyst

Austin, TX · On-site

$120K - $150K/yr

Permanent Quant Research Analyst (Houston) Anson McCade are working with a Portfolio Manager based in Austin, Texas, who is running a mid-frequency equity team covering Stat Arb trading. They are ...

Next Step Systems

Quantitative Analyst

Northbrook, IL · On-site

Quantitative Analyst, Northbrook, IL - The Quantitative Analyst will assist in the research, design ... R, Python, Quant, Quantitative, Large Data Sets, MySQL, SQL, Data Integrity, Regression ...

Amicis Global

Quantitative Analyst

Jersey City, NJ · On-site

$75 - $85/hr

We are looking for a Data Scientist who can work with the developers and Data Analysts to perform analytics, develop risk and quant models around Insider Risk data. Ultimately, we want to create a ...

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All JobsQuant Analyst Jobs

Quant Analyst information

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$56.5K

$133.9K

$240K

How much do quant analyst jobs pay per year?

As of Jun 29, 2026, the average yearly pay for quant 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.

What jobs pay $500,000 a year in the US?

Quant analysts in top-tier financial firms or hedge funds can earn $500,000 or more annually, especially with bonuses and performance incentives. High-level roles often require advanced degrees, strong quantitative skills, and experience with programming languages like Python or R. Such compensation is typically associated with senior positions, including portfolio managers or chief investment officers in the finance industry.

What are typical challenges a Quant Analyst faces when collaborating with traders and software developers?

Quant Analysts often work closely with traders to translate complex market concepts into mathematical models and with developers to implement these models into trading platforms. One common challenge is ensuring clear communication across these teams, as traders may focus on market intuition while developers require precise technical details. Bridging the gap between theory and practical application can also be demanding, requiring flexibility and strong problem-solving skills. Successfully overcoming these challenges can lead to more robust trading strategies and smoother workflow integration.

What exactly does a quant analyst do?

A quant analyst uses mathematical models and statistical techniques to analyze financial data and develop trading strategies or risk management tools. They often work with programming languages like Python or R and rely on large datasets to inform investment decisions. Their work supports firms in optimizing portfolios and managing financial risks.

Is 30 too late to become a quant?

Quant analysts typically have backgrounds in mathematics, finance, or computer science, and many enter the field in their late 20s or early 30s. While starting earlier can provide more experience, transitioning into a quant role at age 30 is feasible with relevant skills, such as programming and statistical analysis, and often requires additional education like a master's or Ph.D. in a quantitative field.

What is the difference between Quant Analyst vs Data Analyst?

AspectQuant AnalystData Analyst
Required CredentialsDegree in finance, mathematics, or related field; often requires programming skillsDegree in statistics, business, or related field; may require basic programming knowledge
Work EnvironmentFinancial firms, hedge funds, investment banksCorporate, marketing, healthcare, and other industries
Employer & Industry UsagePrimarily in finance and trading sectorsAcross various industries for data interpretation and reporting

While both roles analyze data, Quant Analysts focus on financial modeling and trading strategies, often requiring advanced quantitative skills and programming. Data Analysts interpret data to support business decisions across industries. The roles overlap in data handling but differ in industry focus and complexity.

What are Quant Analysts?

Quant Analysts, short for quantitative analysts, are professionals who use mathematical models, statistics, and computer science to analyze financial data and help organizations make investment decisions. They work in areas such as risk management, derivative pricing, portfolio management, and algorithmic trading. Quant Analysts often develop complex models to identify trends, value securities, and manage financial risk. Their work is essential in banks, hedge funds, asset management firms, and financial technology companies.

Do JP Morgan hire quants?

JP Morgan hires quantitative analysts (quants) for roles in risk management, trading, and financial modeling. Candidates typically need strong backgrounds in mathematics, programming, and finance, with skills in tools like Python, R, or MATLAB. The firm values advanced degrees and relevant experience in quantitative finance or related fields.

What are the key skills and qualifications needed to thrive as a Quant Analyst, and why are they important?

To thrive as a Quant Analyst, you need strong quantitative, statistical, and programming skills, often backed by a degree in mathematics, finance, computer science, or a related field. Familiarity with tools such as Python, R, MATLAB, SQL, and knowledge of financial modeling platforms or risk management systems is essential. Analytical thinking, problem-solving ability, and effective communication are key soft skills that distinguish top performers. These competencies enable accurate data analysis, development of robust financial models, and clear presentation of complex findings to stakeholders.
More about Quant Analyst jobs
What cities are hiring for Quant Analyst jobs? Cities with the most 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 Quant Analyst jobs? States with the most job openings for Quant Analyst jobs include:
What job categories do people searching Quant Analyst jobs look for? The top searched job categories for Quant Analyst jobs are:
Quant Analyst jobs near you
Infographic showing various Quant Analyst job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Trader/Quant Analyst

Trader/Quant Analyst

Point72

Stamford, NY

Other

Posted 15 days ago

Job description

Summary
We are seeking a highly motivated and detail-oriented Trader/Quant Analyst with a strong background in trading and data analysis to join our investment team. The ideal candidate will have at least 3 years of experience in convertible securities (or equity/FX/rates derivatives), relative value trading strategies, and quant data analysis. The role will combine active trading and risk management and quantitative analysis to identify and execute profitable opportunities in the convertible space.

Role/Responsibilities:

  • Identify relative value opportunities between convertible bonds, the underlying equity, and credit derivatives.
  • Execute trades in convertible securities, related equities, and hedges in alignment with investment theses and risk parameters.
  • Manage existing positions proactively, assessing changes in valuation, liquidity, and market sentiment.
  • Conduct in-depth quant data analysis on the convertible bond universe, including historical pricing and valuation.
  • Model and evaluate convertible securities across multiple scenarios, analyzing risks related to credit, interest rates, volatility, and equity sensitivity.
  • Build front-office tools to analyze convert universe data for idea generation, trade optimization, and risk management.
  • Coordinate with the portfolio manager and risk team to size positions appropriately and adhere to pre-defined risk limits.
  • Track and analyze P&L drivers on a daily basis and provide attribution reports.
  • Hedge exposures dynamically using equity, credit, and derivative instruments.
  • Work closely with other analysts, traders, and portfolio managers across strategies to share insights and generate synergies.
  • Maintain strong relationships with sell-side counterparties and market participants to source information and enhance trade execution.

Requirements:

  • Bachelor's degree in finance, economics, mathematics, engineering, or related field; advanced degree or CFA preferred.
  • 3+ years of experience in convertible bond trading with a quant/programming skillset.
  • Strong understanding of credit markets, bond math, equity derivatives, and volatility analysis.
  • Proficiency in modeling convertible securities and scenario analysis.
  • Familiarity with risk management systems and trading platforms (e.g., Bloomberg, Tradeweb).
  • Strong analytical and quantitative data skills; proficiency in Excel and at least one programming language (Python, R, VBA) is required.
  • Excellent communication skills and ability to work in a fast-paced, team-oriented environment.
  • Commitment to the highest ethical standards.

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