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

... quantitative field. • 2+ years of health benefits experience at a brokerage/consulting firm or ... coursework and internship experience all accepted). • Strong computer skills, including ...

... quantitative field. • 2+ years of health benefits experience at a brokerage/consulting firm or ... coursework and internship experience all accepted). • Strong computer skills, including ...

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.

... using Python (and other approved tools), improving timeliness, controls, and data quality • ... experience (internships included) in investment risk, performance measurement/attribution ...

... Python (and other approved tools), improving timeliness, controls, and data quality Partner with ... experience (internships included) in investment risk, performance measurement/attribution ...

FPGA Intern

Chicago, IL · On-site

$225K/yr

DRW enables our FPGA Interns to develop a real-world trading centric FPGA application under the ... Collaborate with software developers, quantitative traders, and researchers as well as business ...

DRW enables our Software Developer Interns to develop computationally intensive software under the ... Collaborate with other software developers, quantitative traders, and researchers as well as ...

New

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 ...

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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:
Actuarial Analyst

Actuarial Analyst

Lockton

Chicago, IL • On-site

Full-time

Medical

Posted 10 days ago


Lockton rating

9.1

Company rating: 9.1 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

23rd of 281 rated insurance


Job description

ESSENTIAL JOB DUTIES AND RESPONSIBILITIES
• Work collaboratively with client service and actuarial/financial teams to collect, validate, and reconcile data for accuracy and consistency.
• Integrate data from multiple sources into actuarial and financial client reports and deliverables.
• Prepare routine financial and actuarial reports for self-funded clients including ongoing claim reporting, rate setting, contribution development and plan design modeling; partner with client service teams to review findings and trends.
• Assist in delivery of comprehensive financial reporting and insights to clients related to their health benefit plans.
• Build and maintain basic to moderately complex actuarial models to analyze, illustrate, and project medical/Rx loss trends and client plan performance.
• Prepare spreadsheets, graphs, charts, and other visualization tools to clearly communicate healthcare-related insights to clients.
• Utilize actuarial and financial modeling tools to estimate the potential impact of health plan design changes, regulatory changes, and health reform on client costs.
• Support development of health plan reserve estimates for self-funded clients.
• Produce custom analytics and reporting for unique client requests, leveraging actuarial and benchmark data where appropriate.
• Serve as a developing Subject Matter Expert on financial and actuarial reporting, building expertise over time.
• Learn and apply internal systems, tools, and modeling platforms to improve efficiency and analytical accuracy.
• Stay current on insurance/benefits industry developments, emerging trends, and actuarial best practices.
• Contribute to a positive client experience through accuracy, responsiveness, and clear communication.
• Participate in internal team meetings and trainings, including actuarial skill development sessions.
• Perform other responsibilities as assigned.
Compensation and Benefits
Lockton Companies LLC is committed to offering competitive pay and benefits and complies with all relevant state/local pay transparency laws. The entry base salary offered for this opportunity may vary, and is contingent upon candidate education, skills, abilities, essential competencies, experience, professional designations, unique qualifications, and geographic location.
Performance Bonus: This role may be eligible for an annual performance bonus, based upon the financial performance of the organization and the individual contributions of the Associate.
Check out Lockton Benefits Offerings Here
EDUCATION, EXPERIENCE, AND SKILLS REQUIRED
• Bachelor's degree in actuarial science, mathematics, statistics, finance, economics, or related quantitative field.
• 2+ years of health benefits experience at a brokerage/consulting firm or insurance carrier preferred.
• Completion of actuarial exams preferred; candidates with 2 or more exams encouraged to apply.
• Strong analytical and quantitative skills with an interest in actuarial career progression (including pursuit of at least ASA designation).
• Excellent communication and customer service skills with the ability to support multiple client team relationships.
• Working knowledge of employee benefits, health insurance, and/or risk concepts preferred (job, school coursework and internship experience all accepted).
• Strong computer skills, including proficiency in Microsoft suite, especially Excel (pivot tables, formulas, data manipulation); experience with VBA, SQL, Python, or similar programming language is a plus.
• Excellent organizational skills and attention to detail.
• Legal right to work in the United States.

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