About us

•••• is at the forefront of data innovation, managing vast datasets of stock exchange data through our advanced cloud infrastructure. We tackle complex projects that challenge conventional thinking, providing our partners with the analytics, insights and visualisations to unlock the full potential of market data. Processing petabytes of data efficiently pushes us to the limits of both technology and software engineering. Join us on this exciting journey!

About the role

We are looking for someone who works comfortably at the crossover of data science software engineering and AI. You will research new analytical approaches to market data, turn them into well-engineered production code, and help shape how our team uses AI in research and development.

What you will do

  • research, prototype and validate new analytics and metrics on large-scale market data

  • turn research prototypes into clean, tested and maintainable production code

  • use AI assistants (e.g. Claude, GitHub Copilot etc.) for literature research, exploratory analysis, coding, testing and documentation

  • critically review AI-generated code and results for correctness, performance and statistical soundness

  • work closely with product, engineering and client-facing teams to turn business questions into data-driven answers and automated workflows

Requirements

  • solid knowledge of Python; experience with Java or C# is a plus

  • good grounding in statistics and data analysis, including working with time series

  • analytical thinking and problem solving

  • at least basic knowledge of SQL and database concepts

  • hands-on experience using AI tools for coding and research, and the judgement to know when not to trust their output

  • good software engineering habits: version control (Git), testing, code review, readable code

  • willingness to learn, explore and take a proactive approach to daily work and problem solving

  • good communication skills in English, both verbal and written (B2 or higher)

  • BSc or MSc in Mathematics, Physics, Statistics, Computer Science or a related field preferred

Advantageous

  • knowledge of financial markets, e.g. equities, order books, market microstructure, trading or transaction cost analysis

  • experience building tools or workflows on top of LLM APIs, such as agents, retrieval or automated evaluation

We offer

  • competitive salary based on your skills

  • work in an international environment with highly renowned clients

  • interesting and challenging projects in an open and positive atmosphere

  • over 70% of work time spent on new functionality and features

  • access to modern AI tools for your daily work

  • internal training (IT and Finance)

  • agile environment with minimal bureaucracy and flat management structure

  • medical care package

  • life insurance

  • sports package

When applying, please include the following statement: “I consent to the processing of my personal data contained in my application by Big-•••• Sp. z o.o. for the purpose of the current recruitment process.”

Apply

For more information, please visit •••••••••••

Send your application to •••••••••••• 

Recruitment process

  1. We review your application.

  2. We ask you to fill a questionnaire (check your spam folder if you've applied but did not receive anything)

  3. We invite selected candidates to an interview.

  4. We share our decision with you.