ZipRecruiter

Log In

1

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

Chicago Public Schools

Data Analyst, OSD

Chicago, IL · On-site

... Python, or R to extract meaningful insights * Apply statistical techniques to analyze data ... Master's degree in a quantitative field of study (e.g., data science), preferred Experience ...

Stripe

PhD Data Scientist, Intern

Chicago, IL

$143K - $156K/yr

... interns We're looking for someone who has: * Enrolled in a quantitative PhD program (e.g. Data ... Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new ...

MessageControl

Data Scientist

Chicago, IL · On-site

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.

MessageControl

Data Scientist

Chicago, IL · On-site

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.

Principal Financial Group

Analyst, Underwriter

Chicago, IL

$89.30K - $152.40K/yr

Participate in key areas of due diligence, including business and quantitative analysis as well as ... Python, MATLAB, R) a plus. * Previous internship in finance preferred. Salary Range Information ...

New

Pampered Chef LTD

Digital Insights Analyst

Addison, IL · On-site

$98.50K - $116.50K/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 ...

The University of Chicago

Senior Platform Engineer

Chicago, IL · On-site +1

$107.60K - $147.80K/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 ...

next page

Showing results 1-20

People also search for

All JobsInternship Python Quant JobsInternship Python Quant Jobs in Chicago, IL

Internship Python Quant information

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 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 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:
Internship Python Quant jobs near you
Data Analyst, OSD

Data Analyst, OSD

Chicago Public Schools

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 hours ago

Job description

Chicago Public Schools (CPS) is a district on the rise, serving over 325,000 students in 500+ schools and employing over 45,000 people, most of them teachers. CPS has set ambitious goals to ensure that every student, in every school and every neighborhood, has access to a world-class learning experience that prepares each for success in college, career, and civic life. Aligned with our transformed philosophy, we are steadfastly focused on ensuring that the District provides resources equitably to support every student, every school, and every community. Six core values guide the work we do every day for our students - student-centered, whole child, equity, academic excellence, community partnership, and continuous learning. Each role in the district supports our vision that every student deserves a rigorous, joyful, and equitable learning experience.
The Office for Students with Disabilities (OSD) provides the tools and resources to ensure that all diverse learners receive a high-quality public education that prepares students for success. OSD is responsible for student evaluations, creating and monitoring Individualized Education Programs (IEPs), and working with schools, staff, and families to fulfill these plans toward greater student development and achievement. A critical area within the Office is to provide financial and operational support to schools, networks, and central office departments, including but not limited to the allocation of special education resources to CPS schools so that every child is provided with the services outlined by a student's IEP.
Job Summary:
Reporting to the Data Quality Management Team Lead, the Data Analyst will use data to drive progress toward District priorities and goals. The Data Analyst will support OSD units in the collection, analysis, reporting, and interpretation of data to facilitate informed decision-making, identify trends, ensure that Diverse Learner outcomes are monitored, and to support the continuous improvement of OSD programs and services. This is a full-time, exempt position that will be paid for time worked on a salary basis.
The Data Analyst will be held accountable for the following responsibilities:
  • Proficiently analyze, manipulate and transform complex datasets from multiple sources using analysis tools such as SAS, SQL, Python, or R to extract meaningful insights
  • Apply statistical techniques to analyze data distributions, correlations, and trends, contributing to the development of robust analytical models
  • Create and customize reports tailored to departmental needs, ensuring clarity and relevance in communicating key performance indicators; summarize metrics and produce visualizations for key stakeholders
  • Utilize data visualization techniques to present findings in an easily digestible and visually compelling manner, aiding departmental stakeholders in understanding complex datasets
  • Identify trends and patterns in data, offering valuable insights to support strategic decision-making within the portfolio of departments
  • Conduct root cause analysis to uncover the underlying factors contributing to observed trends, providing valuable context for decision-makers
  • Follow established department and district-wide processes to ensure the quality, integrity and reliability of data used for analysis
  • Evaluate data for structural integrity and consistency
    • Compile, manipulate, and analyze data using appropriate statistical techniques
    • Ensure data quality and integrity across Offices
  • Collaborate with business and subject matter experts to identify additional data needs
    • Participate in the District's Data Analyst User Group
  • Other duties as assigned

In order to be successful and achieve the above responsibilities, the OSDData Analyst must possess the following qualifications:
Education Required:
  • Bachelor's degree from an accredited college or university is required; focus in statistics, business, economics, or a related field requiring quantitative coursework, preferred
  • Master's degree in a quantitative field of study (e.g., data science), preferred

Experience Required:
  • Minimum of two (2) years of professional experience in a relevant field and a role requiring data analysis skills, including experience writing code with data analytic tools (SAS, R, SPSS, STATA, etc) is required. Up to 1 year of full-time, data-related internship experience may be considered against this requirement.
    • Minimum of one (1) year of the above professional experience may be considered in combination with a master's degree in a quantitative field of study (E.g., data science, economics).
  • One (1) or more years of experience as a business analyst or systems analyst, preferred

Other Requirements:
  • Must work with approved enterprise analytic toolsets (SAS or SQL)
  • Adhere to a set of guiding principles for analytic practice as established by the Data Governance Council

Knowledge, Skills and Abilities:
  • Ability to use or learn SAS or SQL required
  • Advanced knowledge of Excel and gSuite applications
  • Exceptional verbal and written communication, organizational, and problem-solving skills
  • Strong attention to detail and data quality assurance
  • Ability to deliver high-quality results in a fast-paced environment, respond promptly to multiple constituencies, and meet established deadlines
  • Capable of success both working independently with general guidance and as a collaborative member of a team
  • Capable of coordinating efforts and facilitating collaboration with a variety of individuals whose priorities may differ
  • Ability to establish priorities and effectively manage time to complete multiple activities or projects concurrently
  • Ability to work in a cross-functional team with technical and non-technical personnel from a variety of departments
  • Ability to probe and derive the correct technical requirements from a non-technical customer for a particular data-related question
  • Flexibility to meet changing departmental needs and priorities
  • Ability to work on multiple projects simultaneously
  • Capable of adhering to a high level of professionalism at all times across professional interactions

Benefits:
Health & Wellness: Your Care, Your Choice
CPS is committed to providing comprehensive health coverage to our employees and their eligible dependents. You'll have access to a variety of choices to best fit your needs:
Medical Plan Options
Pharmacy
Dental
Vision
Behavioral Health & EAP
Employee Wellness Program
Financial Security: Planning for Today and Tomorrow
We understand the importance of financial stability, which is why CPS offers strong retirement and savings options:
Basic Life Insurance
Life and Disability Insurance
Pension Plans
Supplemental Retirement Plans (403(b) and 457(b))
Flexible Spending Accounts (FSAs)
Spot Pet Insurance
Work-Life Balance: Supporting Your Personal and Professional Life
CPS values the well-being of its employees and offers competitive paid time off policies:
Paid Leave
Sick Leave
Vacation Days
Parental Leaves
Short-Term Disability
Religious Holidays
Leaves
Reference the Chicago Public Schools: A Comprehensive Benefits Overviewor the benefits handbookfor comprehensive details.
Conditions of Employment
As a condition of employment with the Chicago Public Schools (CPS), employees are required to:
  • Establish/Maintain Chicago Residency - Employees are required to live within the geographic boundaries of the City of Chicago within six months of their CPS hire date and maintain residency throughout their employment with the district. The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS employees must be residents of Illinois.

Apply