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Quant Analyst Salary Jobs (NOW HIRING)

Opportunity: Assoc Quantitative Risk Analyst Salary Range: $110,000 - 150,000 Recruiter: Christy McDonald Job Posting End Date: July 12, 2026 We've Got You Under Our Wing We are the duck. We develop ...

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 ...

Rates XVA Quant

New York, NY · On-site

$150K - $175K/yr

Quantitative Analysis Time Type: Full time Primary Location: New York New York United States Primary Location Full Time Salary Range: $150,000.00 - $175,000.00 In addition to salary, Citi's offerings ...

As a Quantitative Research Analyst, you will work at the intersection of quantitative finance, data ... Competitive salary at $150,000, commensurate with experience. * Comprehensive benefits package ...

Quantitative Analyst

Boston, MA · On-site

$100K - $200K/yr

... quant research colleagues to generate proprietary insights that enhance investment decisions and ... Base salary is only part of the total compensation package. Depending on the position and ...

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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 Jul 14, 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 jobs pay $500,000 a year in the US?

Quant analysts in top investment firms or hedge funds can earn $500,000 or more annually, especially with bonuses and performance incentives. High-level roles in investment banking, private equity, and executive positions in finance also have the potential to reach this salary level, often requiring advanced degrees, extensive experience, and specialized skills in financial modeling and data analysis.

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 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 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.

How much do JP Morgan quants make?

Quantitative analysts at JP Morgan typically earn a base salary ranging from $100,000 to $150,000 annually, with total compensation including bonuses often exceeding $200,000. Compensation varies based on experience, performance, and location, and quants usually require strong skills in mathematics, programming, and finance.

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.

Is a quant analyst high paying?

Quant analysts typically earn high salaries due to their specialized skills in mathematics, programming, and financial modeling. Compensation often includes base pay, bonuses, and profit sharing, reflecting the demand for their expertise in finance and trading environments.

How much do quant analysts make?

Quant analysts typically earn a median salary ranging from $80,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those in major financial hubs can earn significantly higher, often exceeding $200,000 with bonuses and incentives included.
More about Quant Analyst Salary jobs
What cities are hiring for Quant Analyst Salary jobs? Cities with the most Quant Analyst Salary job openings:
What states have the most Quant Analyst Salary jobs? States with the most job openings for Quant Analyst Salary jobs include:
What job categories do people searching Quant Analyst Salary jobs look for? The top searched job categories for Quant Analyst Salary jobs are:
Infographic showing various Quant Analyst Salary 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.

Senior Quant Analyst, Quantitative Developer

London Stock Exchange Group

New York, NY • On-site

$125K - $208K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

Role Profile
The role is in Quantitative Data Research team which sits within Analytics Research Group. This is a senior level quantitative developer role responsible for application development, including the responsibilities for running and refactoring legacy processes as well as coordinating the work of the other developers. This individual will work closely with colleagues within ISD Research and Product Management as well as others with ISD Data Operations, and Technology.
Key Responsibilities
• Design, develop, and maintain quantitative data processing pipelines to support research, analytics, and production environments. Commit to support and improvement of existing implementations
• Build and optimize data workflows for large-scale financial datasets, ensuring efficiency, scalability, and data integrity across ingestion, transformation, and delivery layers. Understand data flows that support quant models.
• Work within AWS and Azure cloud environments, leveraging services such as S3, Lambda, EC2, Databricks, and Azure Data Factory to support distributed computation and automation.
• Collaborate closely with quantitative analysts, data scientists, and business stakeholders to translate modeling requirements into robust, production-ready systems.
• Implement best practices for code versioning, testing, and CI/CD, ensuring maintainable and reproducible quantitative infrastructure.
• Monitor and troubleshoot pipeline performance, proactively addressing bottlenecks and optimizing for speed, cost, and reliability.
• Continuously acquire new technical skills-including modern data frameworks, cloud tools, and programming techniques-to enhance the team's analytical capabilities.
• Engage in active learning of the business domain, developing a deep understanding of financial products, market data, and risk factors to better align technical solutions with analytical needs.
• Contribute to documentation, peer reviews, and knowledge sharing to support continuous improvement within the quantitative development team.
Key Behaviours
Integrity
• Has the sustained drive and energy to deliver support service to time and quality.
Innovation and Partnership
• Open to and willingly adopts new processes / approaches / ways of working.
• Seeks information/inputs from colleagues/clients.
• Deals with conflict successfully.
Excellence
• Willingly puts in the effort to ensure activities completed on time and to the quality required.
• Pro-active and demonstrates initiative.
• Prioritises activities according to business and operational need.
• Analysis and problem-solving skills.
• Analyses issues to identify the most appropriate solutions.
• Utilises all available resources and toolsets to investigate and resolve problems.
Candidate Profile / Key Skills
• Strong working knowledge of Python programming language is required.
• Experience with data wrangling and creating data pipelines in Python is strongly desired.
• Familiarity with programming, computing and searching algorithms is a plus.
• Familiarity with Linux environment is a plus.
• Familiarity with PySpark applications is a plus.
• Familiarity with ETL technologies a plus.
• Familiarity with ML and AI technologies and their applications is a plus
• Technical degree in a field such as Physics, Computer Science, Engineering, Statistics or Mathematics preferred.
• Familiarity with cloud-based platform like AWS, Azure, DataBricks and Snowflake is a plus
• Strong leadership skills, desire, and ability to innovate.
• Familiarity with finance and fixed income a plus.
Career Stage:
Senior Associate
Compensation/Benefits Information:
LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $125,100 - $208,500.
Please be aware base salary ranges may vary by geographic location, city and state. In addition to our offered base salary, this role is eligible for our Annual Incentive Plan (AIP/"bonus plan"). Target AIP rates will be commensurate with role level and posted career stage. Individual salary will be reflective of job related knowledge, skills and equivalent experience. LSEG roles (excluding internships and part-time roles of less than 20 hours per week) are typically eligible for inclusion in our LSEG Benefits program, which includes offerings of: Annual Wellness Allowance, Paid time-off, Medical, Dental, Vision, Flex Spending & Health Savings Options, Prescription Drug plan, 401(K) Savings Plan and Company match. LSEG's Benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance commuter assistance etc.
London Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.