Offer summary

Qualifications:

Bachelor’s degree in statistics, mathematics, computer science, or a related quantitative field., Proficiency in Python programming, including data structures, design patterns, and object-oriented programming., Experience with data visualization and analysis packages such as NumPy, Polars, Matplotlib, Bokeh, and Scikit-Learn., Basic knowledge of relational databases, SQL, and experience working in a Linux environment..

Key responsibilities:

Design and test new data pipelines (ETL/ELT).

Develop data visualization tools for analysis and reporting.

Maintain and improve existing analytical instruments and pipelines.

Participate in research projects to develop trading models and strategies.

Job description

Atto Trading is a quantitative trading firm operating a portfolio of signal-driven high-frequency strategies in cash equities and futures.

We are building a global, diverse team, with experts in trading, statistics, engineering, and technology to trade global markets. Our disciplined approach combined with rapid market feedback allows us to quickly turn ideas into profit. Our environment of learning & collaboration allows us to solve the world’s hardest problems, together.

As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort.

About the Role:

We're looking for a Junior Data Scientist/Quant Researcher to join our profitable trading team and drive growth.

This position is currently open as remote work from Ukraine, with in-office presence in Kyiv required once circumstances allow.

At Atto Trading, you'll build models, strategies, and systems for trading various financial instruments globally. This role blends trading and software development, involving data analysis, predictive modeling, and strategy development. You'll tackle some of the industry's toughest challenges and work with cutting-edge technology.

Responsibilities:

Design and test new data pipelines (ETL/ELT)
Develop data visualization tools
Maintain existing analytical instruments (toolkits, pipelines)
Participate in research projects

Requirements

High level of proficiency in Python programming (data structures, design patterns, OOP, PEP etc)
Experience with analytical packages for data visualization, manipulation and processing: NumPy, Polars, Matplotlib, Bokeh, Scikit-Learn
Basic knowledge of relational databases and SQL
Upper-Intermediate+ in English
Experience working in Linux environment
Bachelor’s degree in statistics, math, computer science, or another quantitative discipline
Good communication and team skills
Close attention to details

Nice to have: