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Internship Python Quant Jobs (NOW HIRING)

$23.84 - $39.71/hr

Quant Risk Management - Internship - Year Round CME Group is currently looking for a Quant Risk ... High proficiency in Python and SQL is essential. Experience with C++/C# is strongly preferred.

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Internship Python Quant information

What types of projects can an Internship Python Quant expect to work on, and how do these contribute to professional development?

As an Internship Python Quant, you can expect to work on data analysis, financial modeling, and algorithm development projects that support trading strategies or risk management. These projects often involve cleaning and analyzing large datasets, implementing statistical models, and automating reporting processes using Python. Collaborating closely with senior quants and traders, you'll gain practical exposure to real-world finance problems and enhance your coding, analytical, and communication skills—an excellent foundation for a future full-time quant role.

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

To thrive as an Internship Python Quant, you need strong quantitative and analytical skills, foundational knowledge in mathematics or finance, and proficiency in Python programming. Familiarity with data analysis libraries (such as NumPy, pandas, and matplotlib), version control systems like Git, and experience with financial modeling tools are typically required. Attention to detail, problem-solving ability, and effective communication are standout soft skills for collaborating with teams and interpreting complex data. These skills are crucial for developing accurate quantitative models and delivering actionable insights in a fast-paced financial environment.

What is an Internship Python Quant?

An Internship Python Quant is a student or recent graduate position that focuses on quantitative analysis in fields like finance, trading, or data science, using Python as the primary programming language. Interns in this role typically work on tasks such as data analysis, model development, and algorithmic trading strategies, often supporting senior quantitative analysts or researchers. The position helps interns gain hands-on experience with financial data, statistical modeling, and the application of Python programming to solve real-world quantitative problems.

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

AspectInternship Python QuantQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate in finance, mathematics, or computer scienceBachelor's or master's in finance, mathematics, or related fields; often requires experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time, professional environment, responsible for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial institutions, asset management firms, hedge funds
Common Search & ComparisonYesYes

The Internship Python Quant is an entry-level position focused on learning and supporting quantitative trading strategies using Python. In contrast, a Quantitative Analyst is a full-time professional responsible for developing and implementing complex models for trading and risk management. The internship provides foundational experience, while the analyst role involves greater responsibility and expertise.

What cities are hiring for Internship Python Quant jobs? Cities with the most Internship Python Quant job openings:
What are the most commonly searched types of Python Quant jobs? The most popular types of Python Quant jobs are:
What states have the most Internship Python Quant jobs? States with the most job openings for Internship Python Quant jobs include:

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 2 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.