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Salaried Quant Jobs (NOW HIRING)

Quant Strategist

San Francisco, CA · On-site

$200K - $400K/yr

The Role As a Quant Strategist, you'll sit at the intersection of mathematics, computer science ... Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc. Our ...

Quant Strategist

San Francisco, CA · On-site

$200K - $400K/yr

The Role As a Quant Strategist, you'll sit at the intersection of mathematics, computer science ... Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc. Our ...

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.

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.

Showing results 21-40

Salaried Quant information

See salary details

$98K

$169.7K

$259.5K

How much do salaried quant jobs pay per year?

As of Aug 21, 2026, the average yearly pay for salaried quant in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What is a salaried quant?

A salaried quant, short for quantitative analyst, is a finance professional who uses mathematical models and statistical techniques to analyze financial data, assess risks, and develop trading or investment strategies. Unlike contract or freelance quants, salaried quants are employed full-time by financial institutions such as banks, hedge funds, or asset management firms and receive a regular salary with benefits. Their work often involves programming, data analysis, and collaborating with traders or portfolio managers. Salaried quants play a vital role in helping firms make data-driven decisions and maintain a competitive edge in the market.

What are the key skills and qualifications needed to thrive as a salaried quant?

To thrive as a Salaried Quant, you need strong quantitative skills, advanced knowledge of mathematics and statistics, and typically a degree in a field like mathematics, physics, engineering, or finance. Expertise in programming languages such as Python, R, C++, and familiarity with financial modeling tools and data analysis systems is essential. Attention to detail, problem-solving abilities, and effective communication are standout soft skills in this role. These competencies are crucial for developing accurate financial models, interpreting complex data, and collaborating with colleagues to drive profitable decision-making in quantitative finance environments.

What are some common challenges faced by salaried quants when working with large datasets in a fast-paced finance environment?

Salaried quants often encounter challenges such as ensuring data integrity, handling incomplete or inconsistent data, and optimizing code for high-frequency analysis. In fast-paced finance environments, quick turnaround times are expected, making it crucial to efficiently process and analyze vast amounts of data while minimizing errors. Collaboration with IT, traders, and other analysts is key to overcoming these obstacles and ensuring models are both accurate and actionable. Staying updated on the latest analytical tools and techniques can also help address these challenges and enhance overall effectiveness.

What is the difference between Salaried Quant vs Quant Analyst?

AspectSalaried QuantQuant Analyst
CredentialsTypically requires a master's or PhD in finance, mathematics, or related fieldsSimilar educational background, often with advanced degrees
Work EnvironmentUsually employed by financial institutions, hedge funds, or asset managersWorks in investment firms, banks, or hedge funds, often in team settings
Job FocusDevelops quantitative models, risk management, and algorithmic trading strategiesAnalyzes data, tests models, and supports trading decisions

Both Salaried Quants and Quant Analysts share similar educational backgrounds and work environments, focusing on quantitative modeling and data analysis in finance. The main difference lies in job scope: Salaried Quants often develop and implement complex models, while Quant Analysts primarily analyze data and support trading strategies. Both roles are integral to financial firms' quantitative teams.

More about Salaried Quant jobs

What cities are hiring for Salaried Quant jobs?

Cities with the most Salaried Quant job openings:

What are the most commonly searched types of Quant jobs?

The most popular types of Quant jobs are:

What states have the most Salaried Quant jobs?

States with the most job openings for Salaried Quant jobs include:

Infographic showing various Salaried Quant job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $169,729 per year, or $81.6 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

Re-posted 7 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.