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Internship Python Quant Jobs in Chicago, IL (NOW HIRING)

Outstanding quantitative background (e.g. statistics, math, machine learning, operations research ... Familiarity with technical tools for analysis - Python (with Pandas, Scikit-learn, etc.), SQL, etc.

Outstanding quantitative background (e.g. statistics, math, machine learning, operations research ... Familiarity with technical tools for analysis - Python (with Pandas, Scikit-learn, etc.), SQL, etc.

Product Data Analyst

Chicago, IL · Remote

$145K - $175K/yr

... internships) * SQL fluency -- complex joins, incremental computation, window functions, query ... Python for analysis -- pandas and statistical libraries; you don't freeze when the answer requires ...

Digital Insights Analyst

Addison, IL · On-site

$98K - $116K/yr

... internships, co-ops, or relevant academic projects included). * Bachelor's degree in business ... Exposure to additional data analysis tools (e.g., R, Python). * Interest in growing into advanced ...

Senior Platform Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

Provide technical mentorship to interns and onboarding staff and technical leadership in technical ... Hands-on scripting experience (Bash, Python, or other dynamic language). * Unix/Linux programming ...

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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 are the most commonly searched types of Python Quant jobs in Chicago, IL? The most popular types of Python Quant jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Internship Python Quant jobs? Cities near Chicago, IL with the most Internship Python Quant job openings:
Data Scientist

Full-time

Medical, Dental, Vision, Life, PTO

Posted 17 days ago


Job description

Company Description

MessageControl is a cybersecurity start-up in Chicago providing human layer email and messaging security.  Our innovative technology protects users from phishing, spoofing, fraud, business email compromise (BEC), and other types of attacks.

Job Description

As a Data Scientist at MessageControl you'll be building intelligent products to protect people from sophisticated email attacks.  In this position, your data science expertise will help us build new features and improve our existing security products. Our transparent and collaborative culture means we work both independently and together as a team on projects in an agile environment.

What you bring to the team:

  • Partner with stakeholders across the organization to identify high-impact opportunities to use our data to further our innovative product strategy.
  • Build complex predictive models using Machine Learning and Deep Learning algorithms to substantially improve our email security tools.
  • Assess the potential usefulness and validity of new ML and DL approaches and data sources.
  • Develop proof-of-concept prototypes to prove out hypotheses.
  • Manage experience with data, including complex queries, exploratory data analysis, data visualization, advanced modeling and communication of applicable insights to audiences at varying levels of technical sophistication.
  • Help drive our data science culture and strategy.
Qualifications

Desirable Skills and Experience:

  • Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market.
  •  Outstanding quantitative background (e.g. statistics, math, machine learning, operations research, etc.): Bachelors degree required, masters is a plus.
  • Familiarity with technical tools for analysis - Python (with Pandas, Scikit-learn, etc.),  SQL, etc. Prior experience using natural language processing techniques is a plus.
  • Previous software development experience is required, including usage of version control systems such as git and writing tests    
  • Research mindset with a bias towards action.  You are able to structure a project from idea to experimentation to prototype to implementation.
  • Must be a passionate and attentive self-starter, a great communicator, and possess the ability to follow-through initiatives to completion.   You have a great work ethic and love the responsibility of being held accountable for the results.
Additional Information

Perks/Benefits:

  • Direct access to senior management - our leadership team works alongside our team members every day.
  • Comprehensive medical, dental, and vision insurance.
  • Company paid life insurance, short term disability and long term disability.
  • Flexible paid time off (PTO) policy, plus sick days.
  • Ongoing professional development opportunities by level and function.
  • Your choice of Windows or Mac laptop.
  • Onsite gym.
  • Casual dress in a fun, friendly and collaborative work environment.
  • The ability to have significant impact every day.

Location:

  • This position is onsite at our office in the Chicago Loop.  We're not offering remote employment at this time.