Tabby

Data Scientist, Risk

Tabby

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇷🇸 Serbia

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Job Level

JuniorMid-Level

Tech Stack

AirflowAWSAzureBigQueryCloudDockerGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnSQLTableau

About the role

  • Design, develop, and maintain risk models using advanced machine learning techniques, including hybrid and sequential approaches.
  • Regularly retrain, monitor, and validate existing models to ensure timely adaptation to changing customer behavior.
  • Build and manage scalable data marts in BigQuery to support model development and analytical needs.
  • Contribute to development of internal automation tools (e.g., AutoML components, ML workflows).
  • Provide data-driven insights through ad-hoc analyses to support product, credit, and operations teams.
  • Participate in early research and prototyping of new architectures (Transformers, foundation-style embeddings, multimodal models).

Requirements

  • At least 2 years of experience in roles such as Data Scientist, ML Engineer, or Risk Analyst, with a proven track record of impactful contributions in credit scoring.
  • Proficiency in Python and experience with key data science and machine learning libraries (e.g., NumPy, Pandas, scikit-learn, CatBoost, XGBoost, LightGBM).
  • Strong knowledge of PyTorch, with the ability to implement and fine-tune complex machine learning models.
  • Advanced knowledge of SQL, with the ability to work effectively with large datasets.
  • Experience in building and deploying end-to-end machine learning solutions that drive measurable business impact.
  • Hands-on experience with tools like Airflow and Docker for deploying machine learning models into production.
  • Fluency in English
  • Nice to have:
  • Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure for scalable data analysis and model deployment.
  • Proficiency in visualization tools like Tableau or Power BI to effectively communicate insights and support decision-making.
  • Prior experience working with financial datasets and a strong understanding of risk management principles.
Benefits
  • - Full-time B2B contract
  • - Fully remote setup
  • - Up to 20% tax allowance
  • - 22 paid leave days annually
  • - Stock options (ESOP) in a fast-scaling, pre-IPO company
  • - Flexi benefits you can use for wellness, travel, or learning
  • - Work alongside a high-performing, international engineering team in a global fintech unicorn
  • ***Relocation support is available to our hubs in Armenia, Georgia, Serbia, Portugal, and Spain, including flights, temporary accommodation, legal setup (if needed)*

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningPythonNumPyPandasscikit-learnCatBoostXGBoostLightGBMSQLPyTorch
Soft skills
data-driven insightscommunicationcollaborationproblem-solvingadaptability