[Remote] Quant Trader Internship Program

Remote Full-time
Note: The job is a remote job and is open to candidates in USA. Global Quant Academy is offering a Quant Trader Internship Program designed for STEM students interested in quantitative strategies and financial data analysis. Interns will collaborate with hedge fund quants to design trading strategies, analyze financial data, and build algorithms, gaining valuable experience in the quant industry. Responsibilities • Collaborate with our hedge fund quants to design and backtest quantitative trading strategies for global financial markets • Analyze financial data, market trends, and risk factors using advanced statistical and programming tools (Python, R, Excel) • Build trading algorithms and contribute to live project simulations on equity, fixed-income, or multi-asset portfolios • Receive continuous feedback to sharpen your quantitative modeling, coding, and trading decision skills Skills • Passionate about quantitative strategies, financial data analysis, or algorithmic trading • Ability to collaborate with hedge fund quants to design and backtest quantitative trading strategies for global financial markets • Experience analyzing financial data, market trends, and risk factors using advanced statistical and programming tools (Python, R, Excel) • Capability to build trading algorithms and contribute to live project simulations on equity, fixed-income, or multi-asset portfolios • Willingness to receive continuous feedback to sharpen quantitative modeling, coding, and trading decision skills • Must be based in US/UK/AUS/Canada • Available for a duration of 4–5 weeks, part-time (flexible with class schedules) • Undergraduate students or recent graduates (preferably within 3 years) in Math, Computer Science, Engineering, Finance, Economics, or similar fields seeking a quant career • Curious learners ready to explore quantitative trading, research, and algorithmic finance • Students who come from a non-STEM background may be considered on a case by case basis Benefits • Certificate • Referral letter Company Overview • Global Quant Academy is a premier training platform dedicated to launching careers in quantitative finance, investment management, and algorithmic trading. It was founded in 2021, and is headquartered in , with a workforce of 11-50 employees. Its website is . Apply tot his job
Apply Now →

Similar Jobs

Senior Software Engineer, Guest & Host

Remote Full-time

Alaska Airlines Flight Attendant at Alaska Air Group Washington DC

Remote Full-time

Senior iOS Engineer, Client Media Foundation

Remote Full-time

Customer Service Agent at American Airlines Seattle, WA

Remote Full-time

Experienced Airbnb/Short Term Rental Co-host - Remote & In-person Property Management Specialist

Remote Full-time

Airbnb Guest Communications (25 Listings) - Contract to Hire

Remote Full-time

Staff Fullstack Software Engineer/ Marketing Technology

Remote Full-time

Job Title: Line Avionics Technician - Join the Alaska Airlines Team!

Remote Full-time

IND Passenger Service Agent: Alaska Airlines - 1st Shift in Indianapolis, IN

Remote Full-time

(Online Remote Jobs) Amazon Jobs Work From Home Part Time

Remote Full-time

Sr Director, Analyst - AI Platforms (Remote: Canada/ Europe)

Remote Full-time

Data Analyst - Business Insights and Reporting - Remote Opportunity with Leading Innovator in Quality Assurance and Performance Excellence

Remote Full-time

Mortgage SR Loan Processor - Buffalo, NY or Cleveland, OH 2 Locations

Remote Full-time

**Experienced Full Stack Live Chat Agent – Customer Service Representative – Remote Opportunity at arenaflex**

Remote Full-time

Senior Biostatistician

Remote Full-time

Experienced Content Tagging and Data Entry Specialist - Remote Opportunity at blithequark

Remote Full-time

Copywriter /Remote/

Remote Full-time

[Remote] We’re Hiring: Email Designer (Figma | Ecommerce | Klaviyo)

Remote Full-time

VP, Product Manager, Marketplace API and Digital Tools

Remote Full-time

Hardware Assembly Technical Program Manager (San Jose, CA- Remote)

Remote Full-time
← Back to Home