The internship is designed as a high-impact, project-based experience with exposure to executive ... quantitative modeling skills (Excel required; Python, SQL, Power BI or Tableau preferred) • ...
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The internship is designed as a high-impact, project-based experience with exposure to executive ... quantitative modeling skills (Excel required; Python, SQL, Power BI or Tableau preferred) • ...
... quantitative discipline * Strong programming or analytical skills in Python, SQL, R, and/or Excel * Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) is a plus
... quantitative discipline * Strong programming or analytical skills in Python, SQL, R, and/or Excel * Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) is a plus
... quantitative discipline * Strong programming or analytical skills in Python, SQL, R, and/or Excel * Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) is a plus
... quantitative discipline * Strong programming or analytical skills in Python, SQL, R, and/or Excel * Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) is a plus
Advanced Data Analyst - Inventory & Planning Analytics
$62.30K - $102.35K/yr
Bachelor's degree in a quantitative or operations-related field (e.g., Supply Chain, Engineering ... Experience automating analytics workflows (e.g., Python, advanced SQL, Power BI). Why Join Bio ...
Advanced Data Analyst - Inventory & Planning Analytics
$62.30K - $102.35K/yr
Bachelor's degree in a quantitative or operations-related field (e.g., Supply Chain, Engineering ... Experience automating analytics workflows (e.g., Python, advanced SQL, Power BI). Why Join Bio ...
Advanced Data Analyst - Inventory & Planning Analytics
Minneapolis, MN · On-site
$62.30K - $102.35K/yr
Bachelor's degree in a quantitative or operations-related field (e.g., Supply Chain, Engineering ... Experience automating analytics workflows (e.g., Python, advanced SQL, Power BI). Why Join Bio ...
Advanced Data Analyst - Inventory & Planning Analytics
Minneapolis, MN · On-site
$62.30K - $102.35K/yr
Bachelor's degree in a quantitative or operations-related field (e.g., Supply Chain, Engineering ... Experience automating analytics workflows (e.g., Python, advanced SQL, Power BI). Why Join Bio ...
Advanced Data Analyst - Inventory & Planning Analytics
Minneapolis, MN · On-site
$62.30K - $102.35K/yr
Bachelor's degree in a quantitative or operations-related field (e.g., Supply Chain, Engineering ... Experience automating analytics workflows (e.g., Python, advanced SQL, Power BI). Why Join Bio ...
Advanced Data Analyst - Inventory & Planning Analytics
Minneapolis, MN · On-site
$62.30K - $102.35K/yr
Bachelor's degree in a quantitative or operations-related field (e.g., Supply Chain, Engineering ... Experience automating analytics workflows (e.g., Python, advanced SQL, Power BI). Why Join Bio ...
Senior Product Data Analyst (Hybrid)
Minneapolis, MN · Hybrid
$90K - $147K/yr
The Senior Product Data Analyst uses data, statistical and quantitative analysis, explanatory and ... AI forward thinking * Big Query, SQL Scripting, Python, Looker Studio, Tableau * Strong ...
Senior Product Data Analyst (Hybrid)
Minneapolis, MN · Hybrid
$90K - $147K/yr
The Senior Product Data Analyst uses data, statistical and quantitative analysis, explanatory and ... AI forward thinking * Big Query, SQL Scripting, Python, Looker Studio, Tableau * Strong ...
Data Scientist
Saint Paul, MN · On-site
$105.85K - $126.77K/yr
... quantitative field; advanced degree, relevant internship experience, or equivalent hands-on ... Proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.). * Strong ...
Data Scientist
Saint Paul, MN · On-site
$105.85K - $126.77K/yr
... quantitative field; advanced degree, relevant internship experience, or equivalent hands-on ... Proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.). * Strong ...
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?
| Aspect | Internship Python Quant | Quantitative Analyst |
|---|---|---|
| Required Credentials | Typically pursuing or recent graduate in finance, mathematics, or computer science | Bachelor's or master's in finance, mathematics, or related fields; often requires experience |
| Work Environment | Internship setting, learning-focused, entry-level | Full-time, professional environment, responsible for trading strategies |
| Employer & Industry Usage | Financial firms, hedge funds, investment banks | Financial institutions, asset management firms, hedge funds |
| Common Search & Comparison | Yes | Yes |
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 in Minnesota are hiring for Internship Python Quant jobs? Cities in Minnesota with the most Internship Python Quant job openings:
$30/hr
Temporary, Internship
Posted 11 days ago
Job description
Position Summary:
We are seeking a highly analytical, graduate-level Business or Supply Chain Analytics student to support strategic acquisition and inventory optimization initiatives within our aviation aftermarket business. This role will focus on data-driven evaluation of material purchases, inventory productivity, and return-on-investment analysis across a broad range of aviation material.
The internship is designed as a high-impact, project-based experience with exposure to executive-level decision support.
Key Responsibilities and Deliverables:
•
Support financial and operational analysis of material acquisition opportunities
•
Analyze historical sales velocity, margin performance, and inventory turns
•
Build models to assess ROI, cash conversion cycles, and capital efficiency
•
Evaluate excess and slow-moving inventory risk, and turnover optimization
•
Assist in forecasting demand and pricing sensitivity
•
Develop dashboards and reporting tools for leadership review
•
Present findings and recommendations to commercial and supply chain stakeholders
•
Develop material velocity metrics (e.g., weeks-to-storefront, weeks-to-sell, turnover, aging) to improve speed-to-market and accountability across functions
Qualifications:
•
Currently enrolled in a master’s program in Business Analytics, Data Analytics, Finance, Supply Chain, or related field
•
Strong quantitative modeling skills (Excel required; Python, SQL, Power BI or Tableau preferred)
•
Understanding financial metrics (IRR, ROIC, MOIC, margin analysis, working capital)
•
Meticulous and ability to translate complex data into business insights
•
Highly collaborative with strong communication skills
Pay: $30.00/Hour
Hours: 8:00am-4:30pm CST, 40 hours a week
About Air T
Sourced by ZipRecruiter
Industry
Investment clubs and venture capital companies
Company size
501 - 1,000 Employees
Headquarters location
Denver, NC, US
Year founded
1980