Research Scientist Junior/Junior+

Аналитика рынка

Стек

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Описание

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 end-to-end, from idea to data collection to experiments to training runs to inference optimization to evaluating impact Perform rigorous evaluations Write articles and speak at industry conferences What makes you a great fit: Education: mathematics, engineering, computer science, artificial intelligence or another strong quantitative field St

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