Junior Research Scientist (Risk Team)

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.
• Strong foundation in machine learning and deep learning, with hands-on experience building and experimenting with models using PyTorch and LLMs.
• Understanding of dataset design and data mixing for deep learning training.
• Demonstrated understanding of how to maximize the utilization of compute resources and efficiently perform experiments to validate research ideas.
• Solid communication skills.
• High autonomy and ownership.

Your bonus skills

• Published research in machine learning or deep learning.
• Personal projects or startup experience in AI, machine learning or deep learning.
• Internship experience in research, ML or DL teams.
• B1 or higher English level for effective communication with an international team.

Our ways of working

• Innovative Spirit: A commitment to creativity and groundbreaking solutions.
• Honest Feedback: valuing open, transparent communication.
• Supportive Team: a strong, collaborative community.
• Celebrating Achievements: recognizing our wins together.
• High-Tech Environment: a team full of smart and revolutionary people who dare to challenge the status quo of incumbent finances.

Our benefits

• Relocation support to one of our hubs — Serbia, Georgia, Mexico or Colombia — with assistance for the employee and their family.
• Flexible work from one of our offices or remotely within time zones from GMT-2 to GMT+5.
• Healthcare Coverage
• Education Budget: Language lessons, professional training and certifications.
• Wellness Budget: Mental health and fitness activity reimbursements.
• Vacation policy: 20 days of annual leave and paid sick leave