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Intern Python Tester Jobs in New York (NOW HIRING)

Citadel Securities

FPGA Engineer (Intern)

Manhattan, NY · On-site

$4.3K - $4.8K/wk

Python, C, Tcl, and Bash a plus. * Experience in one or more of the following areas: Hardware ... Validation and Testing, FPGA Synthesis, and Static Analysis * Strong written and verbal ...

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Intern Python Tester information

What is the difference between Intern Python Tester vs Junior Python Developer?

AspectIntern Python TesterJunior Python Developer
Required CredentialsBasic programming knowledge, possibly some coursework in PythonProficiency in Python, relevant coursework or certifications
Work EnvironmentTesting teams, QA departments, software development firmsDevelopment teams, software companies, tech startups
Employer & Industry UsageUsed in QA/testing roles across various industriesUsed in software development across multiple sectors
Common Search & ComparisonOften compared for entry-level testing rolesCompared for entry-level development roles involving Python

Intern Python Testers focus on executing test cases, identifying bugs, and supporting QA processes, often with limited coding responsibilities. Junior Python Developers are involved in writing code, developing features, and maintaining applications. While both roles require Python knowledge, the Tester role emphasizes testing skills, whereas the Developer role emphasizes coding and development tasks.

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Quantitative Trader Intern

WallStreetQuants

New York, NY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

An NYC based proprietary trading firm is seeking a motivated Quantitative Trader Intern to join our trading team. This internship is designed for students who are passionate about financial markets, data analysis, probability, and decision-making under uncertainty.
As a Quantitative Trader Intern, you will work alongside experienced traders, researchers, and engineers to analyze market behavior, develop trading insights, and support the execution and improvement of systematic trading strategies. This role offers hands-on exposure to real-time markets, quantitative research, and the trading decision process.
Requirements
Responsibilities
  • Analyze financial market data to identify patterns, inefficiencies, and trading opportunities.
  • Assist in the development, testing, and refinement of quantitative trading strategies.
  • Build tools and dashboards to monitor market activity, strategy performance, and trading signals.
  • Conduct statistical analysis and backtesting using historical data.
  • Collaborate with traders, researchers, and engineers to improve trading models and workflows.
  • Monitor live markets and help evaluate risk, execution quality, and strategy behavior.
  • Present research findings and trading insights to the broader team.
Qualifications
  • Currently pursuing a Bachelor's, Master's, or PhD degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Strong analytical and problem-solving skills.
  • Solid understanding of probability, statistics, and mathematical modeling.
  • Programming experience in Python, R, or a similar language.
  • Interest in financial markets, trading, game theory, or competitive problem-solving.
  • Ability to work well in a fast-paced, collaborative environment.
  • Strong attention to detail and intellectual curiosity.
Preferred Qualifications
  • Experience with data analysis, machine learning, optimization, or time-series modeling.
  • Prior exposure to trading, investing, market microstructure, or financial derivatives.
  • Experience with pandas, NumPy, SQL, or other data analysis tools.
  • Participation in math competitions, programming contests, poker, chess, sports betting, or other strategy-based competitions.
  • Ability to communicate complex ideas clearly and concisely.

Benefits
What You'll Gain
  • Hands-on experience working with real-world financial market data.
  • Exposure to systematic trading, risk management, and strategy development.
  • Mentorship from experienced quantitative traders and researchers.
  • The opportunity to contribute to projects with direct trading impact.
  • A deeper understanding of how quantitative analysis is applied in live markets.

Apply