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Internship Python Quant Jobs in Allston, MA (NOW HIRING)

The internship is intended to run 3-6 months* What You'll Do * Design and execute consumer research ... Collect both qualitative and quantitative customer feedback through interviews, surveys ...

Data Scientist

Boston, MA

$160K - $180K/yr

Master's or PhD in a quantitative field such as Mathematics, Physics, Computer Science, or a ... Proficiency in Python, including familiarity with data science libraries like pandas and scikit ...

Senior Operations Planning Analyst

Quincy, MA · On-site

$75.10 - $142.60/hr

Perform advanced quantitative analysis using operations research methodologies, mathematical ... Experience or training with programming languages such as SQL, Python or R. Preferred ...

New

The ideal candidate will have strong programming and quantitative skills, and a long-term interest ... Conduct statistical analyses using languages such as Stata, R, and Python * Review literature and ...

Research Assistant

Cambridge, MA · On-site

$21.25 - $29.25/hr

The ideal candidate will have strong programming and quantitative skills, and a long-term interest ... Conduct statistical analyses using languages such as Stata, R, and Python * Review literature and ...

Paid Internship or Contract (Full-time) Start Date: Immediate Role Overview We are seeking a Junior ... quantitative field * Strong Python programming skills * Hands-on experience with machine learning ...

Biostatistician I

Boston, MA · Hybrid

$103K - $124K/yr

Strong programming skills in R and Python Preferred Qualifications: * Doctor of Philosophy in Statistics, Biostatistics, Computational Biology or other quantitative fields. * Work or internship ...

Our interns are not observers - they are contributors. Each AI Native Intern is embedded in a real ... quantitative field * Working proficiency in Python (pandas, numpy) and comfort with data ...

Our interns are not observers - they are contributors. Each AI Native Intern is embedded in a real ... quantitative field * Working proficiency in Python (pandas, numpy) and comfort with data ...

Showing results 21-40

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 popular job titles related to Internship Python Quant jobs in Allston, MA? For Internship Python Quant jobs in Allston, MA, the most frequently searched job titles are:

Consumer Insights Intern

10Beauty

Burlington, MA

Other

Posted 9 days ago


Job description

Introduction:

This is a unique opportunity to blend user research, behavioral science, experimentation, and data analysis at a fast-growing robotics startup. You'll work closely with Product, Engineering, Design, and Operations to design and execute consumer studies that directly influence the future of our customer experience.

*This is an on site position for our office in Burlington, MA. The internship is intended to run 3-6 months*

What You'll Do
  • Design and execute consumer research studies focused on self-service user experiences.
  • Develop test methodologies and experimental frameworks to answer key product questions.
  • Recruit, organize, and moderate user interview groups and usability sessions.
  • Plan and coordinate testing logistics for our internal ManiLab consumer testing environment.
  • Lead day-of testing activities, ensuring smooth execution and high-quality data collection.
  • Collect both qualitative and quantitative customer feedback through interviews, surveys, observations, and product usage data.
  • Analyze research findings using statistical methods to identify meaningful trends and actionable insights.
  • Build reports and presentations that clearly communicate recommendations to Product, Engineering, and Leadership teams.
  • Partner with cross-functional teams to prioritize experiments and measure the impact of product improvements.
  • Help establish best practices for experimentation, user research, and consumer insight generation as our testing program scales.
What you have
  • Currently pursuing (or recent grad with) a Bachelor's, Master's, or MBA in Psychology, Behavioral Economics, Human Factors, Marketing, Consumer Insights, Statistics, Data Science, Industrial Engineering, Business Analytics, or a related field.
  • Strong interest in consumer behavior, experimentation, product research, or UX research.
  • Experience designing surveys, user interviews, or research studies through coursework or previous internships.
  • Comfortable working with data and applying statistical thinking to draw conclusions.
  • Familiarity with Excel, Google Sheets, SPSS, R, Python, SQL, or similar analytical tools is a plus.
  • Excellent communication skills with the ability to translate research into clear recommendations.
  • Highly organized and excited to work in a fast-paced startup environment where no two days are the same.
  • Comfortable interacting directly with customers and facilitating research sessions.