Hey there! We’re Pinely, and we’re all about high-frequency trading.
Our internships are designed to give you real, hands-on experience in the fast-paced world of algorithmic trading. You’ll get to work side-by-side with our team, dive into interesting challenges, and see what high-frequency trading is really like from the inside.
We offer internships in three main areas:
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Quantitative Research: If you enjoy probability, statistics, competitive programming, and coding in Python or C++, this one’s for you. You’ll get to work on ideas that could actually make it into production.
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Machine Learning / Deep Learning Research: Into ML, DL, or RL? Curious about how these cutting-edge techniques can be used in trading? This track is a perfect fit.
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Infrastructure Development: Love building fast, reliable systems? Here you’ll use C++ or Go to help improve the backbone of our trading and simulation platforms.
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At Pinely, interns are part of the team from day one. You’ll work on real projects, get plenty of support and mentorship, and learn a ton along the way. Plus, we like to keep things fun with team events and relaxed hangouts outside of work
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You may already have met some of our team members at sponsorship events, such as the ICPC Semi Finals (EUC Sponsorship, NERC Sponsorship), IMC (https://www.facebook.com/groups/pinelygroup/permalink/1080790890340857/) and others. You may also know or have heard about some of our colleagues, for example, see https://codeforces.com/ratings/organization/31353
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Duration: approx. 3 months
Start Date: July 1 (the start and end date are flexible)
Team Assignment: This is an RnD team, which is involved in searching for new markets, exchanges, financial instruments, strategies and etc. You will learn about the fundamental concepts of high-frequency trading (HFT), delve into the intricacies of developing trading strategies, and gain hands-on experience in creating scripts for research and analytics. Additionally, you will have the opportunity to participate in market analysis, as well as the exploration of new financial instruments and trading strategies alongside the team.
Trading / financial knowledge: No prior knowledge of these topics is required to participate. However, if you wish to familiarize yourself with high-frequency trading (HFT) concepts before the internship begins, we recommend requesting additional preparatory materials from your recruiter or mentor
Mentorship and Learning: Interns get 360° onboarding and gain in-depth knowledge about HFT and trading. Please note that Research Internships include a structured onboarding process led by the team, offering an exceptional opportunity to learn about markets, exchanges, financial instruments, trading strategies, and more — starting from the ground up.
Career Opportunity: Successful interns may receive an offer for a full-time position.
Positions:
Quantitative Researcher (Intern)
Duration: approx. 3 months
Start Date: July 1 (the start and end date are flexible)
Team Assignment: This is a research-driven team focused on creating adaptive deep learning strategies for various financial markets. Backed by specialized support teams, we maintain a flat, collaborative culture that values curiosity, open communication, and problem-solving.
They are seek individuals who are ambitious, detail-oriented, eager to improve, and passionate about uncovering root causes in complex challenges. If you thrive in an intellectually stimulating environment, you’ll fit right in.
Trading / financial knowledge: No prior knowledge of these topics is required to participate. However, if you wish to familiarize yourself with high-frequency trading (HFT) concepts before the internship begins, we recommend requesting additional preparatory materials from your recruiter or mentor
Mentorship and Learning: Interns participate in a comprehensive 360° onboarding process, gaining in-depth knowledge about high-frequency trading (HFT), markets, exchanges, financial instruments, and trading strategies from the ground up. The structured onboarding, led by the team, also offers an exceptional opportunity to learn about the application of machine learning and deep learning techniques to trading strategies, depending on your assigned tasks.
Career Opportunity: Successful interns may receive an offer for a full-time position.
Duration: approx. 3 months
Start Date: July 1 (the start and end date are flexible)
Team Assignment: Intern with a team that develops internal infrastructure and service solutions across the company.
Trading / financial knowledge: No prior knowledge of these topics is required to participate. However, if you wish to familiarize yourself with high-frequency trading (HFT) concepts before the internship begins, we recommend requesting additional preparatory materials from your recruiter or mentor
Mentorship and Learning: Depending on the tasks, you will become familiar with the specifics of trading systems, databases and inter-service communication. You will work on real-world development projects using modern C++, Python or Go and enhance your skills in working with tooling software and writing tests.
Career Opportunity: Successful interns may receive an offer for a full-time position.
Positions:
Just a few captured moments, which you can participate into too 💚
You can see more in our instagram: https://www.instagram.com/pinely_team?igsh=MTczcTBxYXo5MWNnMA==
You’re welcome to apply by sending your CV to [email protected], or you can reach out directly to our recruiter, Polina, via Telegram at @pinelyhr. Alternatively, you can submit your application through our https://pinely.com/internships.