2 months ago

2026 BSc/MSc/PhD Quantitative Research/Strat Internship

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Quantitative Research Intern in São Paulo, joining a multi-disciplinary team to advance alpha research, design novel predictive signals, and backtest hypotheses. You’ll collaborate with researchers and developers to improve prediction, trade execution, portfolio construction, and risk management within Schonfeld’s LATAM internship program. Strong programming, quantitative theory, and clear communication are essential.

Location: São Paulo

Workplace: Onsite

Employment Type: Full time

Job Function: Capital Markets, Trading & Quant

Seniority: Entry level

Key Responsibilities

•Further the alpha research for the portfolio by designing and testing new predictive signals.
•Understand the economics of a fundamental domain and derive insights from alternative data offerings.
•Backtest and validate hypotheses to assess signal performance and robustness.
•Collaborate with senior team members to learn what it takes to be a successful quantitative researcher.
•Contribute to running and improving a quantitative trading business within the LATAM internship program.

Key Requirements

•Current MSc or PhD student in statistics, economics, mathematics, physics, electrical engineering, or computer science (ideally with one or two years left)
•Excellent programming skills in Python, C, C++, Java, SQL, or R
•Strong knowledge of probability and statistics (machine learning, time-series analysis, forecasting, NLP, unstructured data analysis)
•Ability to communicate research ideas clearly and succinctly
•Creative problem-solving with real-world datasets

Experience:FinanceQuantitative trading

Skills:CommunicationProblem-solvingCollaborationAttention to detailTeamwork

Languages:English

Tech Stack:PythonCC++JavaSQLR

Company Brief

Schonfeld

Schonfeld is a multi‑strategy investment firm that deploys capital across systematic and discretionary strategies across equities, macro, and quantitative trading, serving institutional and private investors globally.

Industry: Hedge Funds

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: New York, United States

Website

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Schonfeld

2 months ago

2026 BSc/MSc/PhD Quantitative Research/Strat Internship

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: São Paulo

Workplace: Onsite

Employment Type: Full time

Job Function: Capital Markets, Trading & Quant

Seniority: Entry level

Key Responsibilities

•Further the alpha research for the portfolio by designing and testing new predictive signals.
•Understand the economics of a fundamental domain and derive insights from alternative data offerings.
•Backtest and validate hypotheses to assess signal performance and robustness.
•Collaborate with senior team members to learn what it takes to be a successful quantitative researcher.
•Contribute to running and improving a quantitative trading business within the LATAM internship program.

Key Requirements

•Current MSc or PhD student in statistics, economics, mathematics, physics, electrical engineering, or computer science (ideally with one or two years left)
•Excellent programming skills in Python, C, C++, Java, SQL, or R
•Strong knowledge of probability and statistics (machine learning, time-series analysis, forecasting, NLP, unstructured data analysis)
•Ability to communicate research ideas clearly and succinctly
•Creative problem-solving with real-world datasets

Experience:FinanceQuantitative trading

Skills:CommunicationProblem-solvingCollaborationAttention to detailTeamwork

Languages:English

Tech Stack:PythonCC++JavaSQLR

Company Brief

Schonfeld

Industry: Hedge Funds

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: New York, United States

Website