Research Scientist Junior/Junior+

We are looking for a Junior Research Scientist to work on foundation models for financial data. Several of them already run in production on bureau, transactional and graph data; your work is to extend that line to new data domains and new downstream tasks — credit risk, acquisition, anti-fraud, LTV forecasting.

 

We work with Python, PyTorch, MLFlow, AWS, Snowflake and modern AI coding tools such as Claude Code, OpenAI Codex and Cursor.

 

This is a great opportunity for someone at the beginning of their career and who wants to work on large-scale, technically challenging projects. 

 

Challenges that await you:

• Train self-supervised models on discrete sequences to beat the SOTA and achieve business impact in downstream tasks across Plata, such as: credit risk, transaction anti-fraud, acquisition and LTV forecasting
• Stay on top of SOTA research, applying the latest NLP and DL techniques to fintech models
• Work with large multimodal datasets: tabular, behavioral, transactional, device and network, text, time series, graphs
• Optimize the utilization of compute resources for both training and inference
• Own and develop solutions