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Internship Algorithmic Trading Quant Jobs in Bloomfield, NJ

Invesco

Quant Researcher, Trading

New York, NY · Hybrid

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading ... Candidates with experience in transaction cost analysis, or conducting algorithmic trading research ...

Wintermute

Algorithmic Trader

New York, NY

Excellent quantitative and analytical skills - we will test! * Trading knowledge isn't required but a strong willingness and curiosity to learn algorithmic, high-frequency, quantitative and liquidity ...

Wintermute

Algorithmic Trader

New York, NY · On-site

Excellent quantitative and analytical skills - we will test! * Trading knowledge isn't required but a strong willingness and curiosity to learn algorithmic, high-frequency, quantitative and liquidity ...

Jane Street

Quantitative Trader

New York, NY · On-site

During the internship, your work is reinforced with intensive classes, workshops, and team-based ... Algorithmic Trading and Market Microstructure You'll learn the end-to-end process of developing an ...

Jane Street

Quantitative Trader

New York, NY · On-site

During the internship, your work is reinforced with intensive classes, workshops, and team-based ... Algorithmic Trading and Market Microstructure You'll learn the end-to-end process of developing an ...

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Internship Algorithmic Trading Quant information

What is an internship algorithmic trading quant?

An Internship Algorithmic Trading Quant is a student or recent graduate who works with a quantitative trading team to develop, test, and implement mathematical models and algorithms used for automated trading in financial markets. Their responsibilities often include data analysis, coding trading strategies, backtesting performance, and collaborating with senior quants and traders. This role provides hands-on exposure to quantitative finance, programming, and financial markets, making it a valuable learning experience for those interested in a career in trading, finance, or data science.

What types of projects or tasks can I expect to work on as an internship algorithmic trading quant?

As an Algorithmic Trading Quant Intern, you'll typically work on projects involving data analysis, strategy backtesting, and model development. You may assist in researching and testing new trading algorithms, analyzing market data, and developing tools to improve trading efficiency. Interns often collaborate closely with quantitative researchers, software engineers, and traders, gaining exposure to both the technical and business aspects of trading. This hands-on experience is invaluable for understanding how quantitative strategies are developed and deployed in real-world markets.

What are the key skills and qualifications needed to thrive as an internship algorithmic trading quant, and why are they important?

A strong foundation in mathematics, statistics, and programming (especially in Python, C++, or MATLAB), along with coursework or experience in finance, is essential for an Internship Algorithmic Trading Quant. Familiarity with data analysis libraries, quantitative modeling tools, and version control systems like Git is typically required. Analytical thinking, attention to detail, and effective communication set candidates apart in collaborative and fast-paced trading environments. These skills are crucial for designing, testing, and implementing robust trading algorithms that perform reliably in real-world financial markets.

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Internship Algorithmic Trading Quant jobs near you

Quantitative Trading & Research - Rates - Quantitative Developer - Vice President

JPMorganChase

Manhattan, NY • On-site

Full-time

Re-posted 4 days ago

Job description

Job Summary:
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to various clients. As a Quantitative Developer, you will design and deliver production systems for systematic trading in global Rates markets, collaborating closely with researchers and traders to enhance trading capabilities.
Responsibilities:
• Design, build and maintain algorithmic trading systems and execution platforms for systematic Rates trading
• Implement quantitative models in production, translating research prototypes into robust, scalable strategies
• Collaborate with traders and researchers to refine models, quoting, hedging, risk management and allocation processes
• Engineer high-quality, testable and observable code for reliability in live markets
• Optimise performance, latency and throughput of critical trading components
• Automate workflows and deployments to improve speed, safety and repeatability across the stack
• Monitor, diagnose and resolve production issues, contributing to continuous improvement
• Document designs, interfaces and operating procedures to support transparency and knowledge sharing
Qualifications:
Required:
• Proficiency in programming with Java, C++ or another object-oriented language
• Experience performing data analysis in Python, including proficiency with data science libraries (e.g., NumPy, pandas) and visualisation tools
• Ability to translate quantitative models into reliable, maintainable production code
• Effective interpersonal and communication skills; ability to collaborate with traders, quantitative researchers and software engineers
• High attention to detail and a commitment to quality in fast-paced environments
• Interest in financial markets and systematic trading
• Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering or another quantitative field
Preferred:
• Knowledge of Fixed Income and Rates markets
• Experience with high-frequency, algorithmic or electronic trading, including low-latency and performance-sensitive systems
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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