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Internship Quantitative Analyst Jobs (NOW HIRING)

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

Prior internship or project experience in finance, asset management, or a related quantitative field for Quantitative Analyst; 3-5-year relevant work experience for Quantitative Associate. * Exposure ...

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

Prior internship or project experience in finance, asset management, or a related quantitative field for Quantitative Analyst; 3-5-year relevant work experience for Quantitative Associate. * Exposure ...

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Internship Quantitative Analyst information

See salary details

$56.5K

$133.9K

$240K

How much do internship quantitative analyst jobs pay per year?

As of Jun 12, 2026, the average yearly pay for internship quantitative 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 is an Internship Quantitative Analyst?

An Internship Quantitative Analyst is a student or recent graduate who works temporarily at a financial institution, such as a bank or investment firm, to support quantitative research and analysis. Their main responsibilities include analyzing financial data, building statistical models, and assisting senior analysts in making investment decisions. This role provides hands-on experience with data analysis tools, programming languages, and financial modeling techniques. It is designed to help interns develop essential quantitative and analytical skills while gaining insight into how financial markets operate.

What are the key skills and qualifications needed to thrive as an Internship Quantitative Analyst, and why are they important?

To thrive as an Internship Quantitative Analyst, you typically need strong analytical skills, proficiency in mathematics or statistics, and enrollment in a relevant degree program such as finance, mathematics, or computer science. Familiarity with programming languages like Python, R, or MATLAB, and experience with statistical modeling tools are often required. Attention to detail, problem-solving abilities, and effective communication make candidates stand out in this role. These skills and qualities are crucial for accurately analyzing data, developing models, and communicating insights that drive informed financial decisions.

What is the difference between Internship Quantitative Analyst vs Quantitative Analyst?

AspectInternship Quantitative AnalystQuantitative Analyst
CredentialsTypically pursuing or recent graduate, some programming or finance courseworkBachelor's or master's in finance, mathematics, or related field; certifications like CFA are common
Work EnvironmentInternship programs, supervised, learning-focusedFull-time, professional setting, responsible for analysis and model development
Employer & Industry UsageFinancial firms, hedge funds, investment banks during internship periodsSame industries, with ongoing roles after internship

The main difference is that an Internship Quantitative Analyst is a temporary, learning-focused position for students or recent graduates, while a Quantitative Analyst is a full-time professional responsible for developing and implementing complex financial models. Internships serve as a stepping stone toward a full career in quantitative finance.

What types of projects or tasks can an Internship Quantitative Analyst expect to work on during their internship?

As an Internship Quantitative Analyst, you can expect to work on a variety of data-driven projects such as building and testing financial models, analyzing large datasets to identify trends or anomalies, and assisting in the development of trading strategies. You'll often collaborate closely with senior quants, traders, and software engineers, contributing to both short-term research tasks and longer-term initiatives. This hands-on experience will help you gain practical skills in programming, statistical analysis, and financial theory, while also exposing you to the fast-paced, collaborative environment typical of quantitative finance teams.
More about Internship Quantitative Analyst jobs
What cities are hiring for Internship Quantitative Analyst jobs? Cities with the most Internship Quantitative Analyst job openings:
What are the most commonly searched types of Quantitative Analyst jobs? The most popular types of Quantitative Analyst jobs are:
What states have the most Internship Quantitative Analyst jobs? States with the most job openings for Internship Quantitative Analyst jobs include:
Infographic showing various Internship Quantitative Analyst job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 5% Part Time, 1% Temporary, and 1% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% 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

Manhattan, NY

$125K - $208K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 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.