Machine Learning Research (Intern) at Pinely

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

08 Jan, 26

Salary

0.0

Posted On

10 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Reinforcement Learning, Python, Probability Theory, Mathematical Statistics, Big Data Processing, Competitive Programming

Industry

Financial Services

Description

We are excited to offer an internship opportunity for a Machine Learning Research (Intern) to join our Amsterdam-based team. As part of our research group, you will contribute to innovative projects focused on developing and improving HFT strategies using ML, DL and RL techniques. You will work closely with experienced researchers and engineers, gaining hands-on experience in applying cutting-edge ML methods to real-world financial data. This internship offers a unique opportunity to explore the intersection of AI and quantitative finance, contributing to our ongoing efforts to automate and optimize trading strategies in a highly dynamic environment. Responsibilities Participate in conducting groundbreaking research and development of high-frequency trading (HFT) strategies; Analyzing high-frequency trading strategies and market microstructure to identify new trading opportunities; Collaborating with developers and other researchers to implement and optimize trading strategies; Contributing to the improvement of existing trading strategies and assisting researchers in quantitative strategy design. Requirements Passion for research; Deep knowledge of probability theory and mathematical statistics; Experience in machine learning; Proficiency in Python. Would be great if you had this Participation in ML competitions, hackathons, or mathematical / programming Olympiads; Experience with big data processing technologies (MapReduce, Hadoop, Apache Spark); Demonstrated performance in competitive programming contests; Engagement with ML conferences. What we offer The team which consists of great minds, including Kaggle Grandmasters, ACM ICPC World Finalists and published research findings in A* conferences; The versatile and reliable infrastructure to support your strategies and innovations and the capability to test ideas daily on a real-time production leaderboard, fostering a dynamic environment for experimentation and refinement; A modern and well-equipped office designed for productivity and comfort; Friendly work environment, we value and prioritize a healthy work-life balance to support overall well-being of the team; Corporate and team`s events.

Responsibilities

Participate in conducting research and development of high-frequency trading strategies. Collaborate with developers and researchers to implement and optimize trading strategies.