2026 BSc/MSc/PhD Quantitative Research/Strat Internship

Schonfeld; São Paulo; Presencial; BRL 40 000 - 60 000; Tempo integral

Resumo da oferta

Schonfeld in São Paulo is seeking exceptional MSc or PhD candidates for a Quantitative Researcher/strat Intern role. Interns will engage in various research projects, enhance algorithms, and contribute to a successful quantitative trading business.

The ideal candidates will have strong programming skills and knowledge in probability and statistics, and will have opportunities to collaborate with senior researchers. This role is excellent for students in quantitative fields looking to make impactful contributions.

Qualificações

• Current student in a quantitative or technical field.
• Excellent programming skills in relevant languages.
• Strong understanding of probability and statistics.
• Ability to clearly communicate research ideas.

Responsabilidades

• Design novel predictive signals and backtest hypotheses.
• Collaborate with senior team members on research projects.
• Contribute to the growth of the quantitative trading business.

Conhecimentos

Programming in Python

Machine Learning

Time-Series Analysis

Statistics

Creative Problem Solving

Formação académica

Current BSc, MSc or PhD in quantitative field

Ferramentas

SQL

Java

C++

Descrição da oferta de emprego

The Role

We are seeking exceptional MSc or PhD candidates to join our Quantitative Research and strat teams in Sao Paulo where they will work with other researchers and developers on various research projects, including the design of novel predictive signals, enhancement of our algorithms for prediction, trade execution, portfolio construction, risk management, product and asset modelling. Interns will have an opportunity to meaningfully contribute to all facets of a successful quantitative trading business; help it grow and diversify.

What you’ll do

Depending on the portfolio manager team you join, as a Quantitative Researcher/strat Intern you will be directly responsible for furthering our platform build and/or alpha research. You will understand the economics of a fundamental domain, and the corresponding insights that can be gathered from associated alternative data offerings. You will identify compelling differentiating factors, design novel predictive signals, backtest & validate hypotheses. You will have the opportunity to collaborate with senior team members to learn what it takes to be a successful quantitative strat + researcher.

What you need

• Current BSc, MSc PhD student in a quantitative or technical field such as statistics, economics, mathematics, physics, electrical engineering, or computer science (ideally with one or two years left in your academic program)
• Excellent programming skills in languages such as Python, C, C++, Java, SQL, or R
• Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis and forecasting, pattern recognition, NLP, and unstructured data analysis).
• The ability to communicate research ideas clearly and succinctly
• Creative problem-solving skills and experience working with real-world datasets
• Strong attention to detail
• Please submit your CV/resume in English

We’d love if you had

• Previous financial industry experience although it is not required
• An advanced degree in a quantitative or technical field