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Quant Analyst Salary Jobs (NOW HIRING)

MerQube Inc

Derivative Quant Analyst

New York, NY

$130K - $180K/yr

We are looking for our next Derivative Quant Analyst based in New York. You will be joining a ... This range reflects base salary only and does not include bonus, equity, or benefits.

MerQube Inc

Derivative Quant Analyst

New York, NY · On-site

$130K - $180K/yr

We are looking for our next Derivative Quant Analyst based in New York. You will be joining a ... This range reflects base salary only and does not include bonus, equity, or benefits.

Verition Group LLC

L/S Equity Desk Quant

Miami, FL

$150K - $200K/yr

Role Overview We are seeking a Quant Analyst for our Fundamental Long/Short Equity business ... The annual base salary range for this position is $150,000 to $200,000 (USD). In addition to base ...

Next Step Systems

Quantitative Analyst

Northbrook, IL · On-site

Salary: 80K+ DOE. Keywords: Northbrook IL Jobs, Quantitative Analyst, R, Python, Quant, Quantitative, Large Data Sets, MySQL, SQL, Data Integrity, Regression, Performance Testing, Financial Markets ...

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Quant Analyst Salary information

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$56.5K

$133.9K

$240K

How much do quant analyst salary jobs pay per year?

As of Sep 1, 2026, the average yearly pay for quant analyst salary 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 is the typical salary for a quant analyst?

The typical salary for a Quantitative Analyst, also known as a Quant Analyst, varies depending on factors such as location, experience, and the financial institution. In the United States, entry-level quant analysts can expect to earn between $80,000 and $120,000 per year, while those with several years of experience or advanced degrees may earn upwards of $150,000 to $250,000 or more. Additionally, bonuses and other incentives can significantly increase total compensation, especially at investment banks and hedge funds.

What are some common challenges faced by quant analysts when collaborating with cross-functional teams?

Quant Analysts often work alongside traders, software developers, and risk managers, which can present challenges in communication due to differing technical backgrounds and priorities. Translating complex quantitative models into actionable insights for non-technical stakeholders requires strong interpersonal skills and the ability to simplify technical concepts. Additionally, aligning project goals and timelines across departments may require adaptability and proactive communication to ensure successful outcomes. Overcoming these challenges not only improves teamwork but also enhances the overall impact of the analyst’s work within the organization.

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

To thrive as a Quantitative Analyst, you need strong quantitative skills in mathematics, statistics, and programming, usually supported by a degree in a quantitative field like mathematics, finance, or computer science. Proficiency with technical tools such as Python, R, MATLAB, and financial modeling software is typically required, along with familiarity with data analysis platforms and sometimes certifications like CFA or FRM. Exceptional analytical thinking, problem-solving abilities, and effective communication are key soft skills that help you interpret complex data and present findings clearly. These skills are essential for developing accurate models, supporting data-driven decision-making, and delivering actionable insights in fast-paced financial environments.

What is the difference between Quant Analyst Salary vs Data Scientist Salary?

AspectQuant Analyst SalaryData Scientist Salary
Required CredentialsDegree in finance, mathematics, or related field; often CFA or FRM certificationsDegree in computer science, statistics, or related field; often certifications like CAP, or specific data science credentials
Work EnvironmentFinancial firms, hedge funds, investment banksTech companies, finance, healthcare, and retail sectors
Employer & Industry UsagePrimarily in finance and trading industriesAcross various industries including tech, finance, and consulting

While both roles require strong analytical skills and quantitative expertise, Quant Analysts focus more on financial modeling and risk assessment within finance firms, whereas Data Scientists work across diverse industries analyzing large datasets to inform business decisions.

What does a quant analyst do?

A quant analyst develops and implements mathematical models to analyze financial data and inform investment decisions. They use programming languages like Python or R, and tools such as Excel and statistical software, to identify trading opportunities and manage risk in financial markets.
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Cities with the most Quant Analyst Salary job openings:

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Quant Analyst Salary jobs near you
Infographic showing various Quant Analyst Salary job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Quant Analyst - Market Risk

New York, NY • On-site

Bloomberg LP
Finance and Insurance • 10K+ employees

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

12th of 247 rated software companies

People enjoy working here

Good employer

Respectful managers

Learn more about Bloomberg LPexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Quant Analyst - Market Risk
Location
New York
Business Area
Product
Ref #
10053364
Description & Requirements
Bloomberg's Quantitative Analytics team is responsible for the design and implementation of modeling analytics that support client pricing and risk management solutions for financial products across the entire suite of Bloomberg products and services, including its terminal with 300,000+ clients, trading system solutions, buy- and sell-side enterprise risk management, and derivatives valuation services. These models include those for pricing derivative products across all major asset classes, including market data; counterparty credit, XVA and initial margin; Value-at-Risk and other Market Risk metrics; Credit Risk models, and Climate Risk models. The team has two recent Risk Quant of the Year winners and is dedicated both to novel research as well as efficient model delivery through modern C++ and Python libraries.
Within the Quantitative Analytics team, the Quantitative Market and Liquidity Risk Analytics group ("QMLRA") is responsible for all market and liquidity risk related modeling. This includes, but is not limited to, stress testing, including modelling of various stress scenarios for cash and derivatives portfolios, VaR, stressed VaR and various tail-risk measures, regulatory capital calculations, CCAR scenarios, FRTB, SIMM, and liquidity Assessment. The group is responsible for model research and development, as well as model deployment into production in collaboration with our Model Validation, Engineering, and Product Manager partners.
The QMLRA group has an open position in New York for an experienced Market Risk quantitative analyst to support our growing client business. The candidate will be responsible for researching, and prototyping models, documenting models, planning project execution, and coordination of team members.
We will trust you to:
  • Research, design, prototype, implement, test, document and support statistical, machine-learning, and econometric Market Risk models
  • Support the integration and release of quant code into production systems in association with our Model Validation and Engineering partners
  • Communicate modeling concepts and assumptions to external clients, product managers, sales, the risk product support unit, and engineering teams. This includes writing technical documentation and delivering presentations to a variety of audiences
  • Assist the QMLRA Team Leader with Market Risk project management. This includes coordination of fellow team members as well as collaboration with Engineering, Product Managers, and Model Validation partners
  • Maintain Market Risk methodology thought leadership. The Quant Analytics team sometimes publishes research papers in academic and industry journals

You will need to have:
  • Ph.D. or equivalent experience in a quantitative field such as Mathematics, Statistics, Physics, Engineering, or Quantitative Finance
  • Work experience at VP level or above (4+ years) at a Market Risk modeling team of a buy-side or sell-side institution, or at the equivalent level at a vendor
  • Hands-on experience in Market Risk modeling, understanding of risk measures, familiarity with financial products and derivatives (expertise needed in at least two asset classes), along with fluency in the relevant regulatory and non-regulatory Market Risk calculations
  • Knowledge of probability theory and stochastic processes, probabilistic and machine learning techniques, statistical estimation and testing, Monte Carlo methods, numerical analysis, and linear algebra
  • Experience with Natural Language Processing modeling techniques, e.g. Sentiment Analysis, Topic Modeling, Text Classification, Semantic Analysis, and Named Entity Recognition. Proficiency with agentic modeling is a bonus
  • Proven C++ and Python programming and software engineering skills. This includes code design, implementation, testing and production release, as well as working knowledge of common data science libraries
  • Hands-on experience in project management, execution and delivery, and communications with internal and external stakeholders and clients

We would love to see:
  • Strong oral and written communication skills. You enjoy working in teams with other quants, engineers, and product managers
  • Passion about the Capital Markets, Finance, and Economics
  • High-level of intellectual curiosity and demonstrated capability to generate new and interesting approaches to solving complex problems

Salary Range = 155,000 - 285,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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