Jobs

• Take ownership of the existing BDD test suite
• Troubleshoot and fix failing or unreliable tests
• Execute BDD tests to verify domain logic
• Identify gaps in the current test coverage
• Use AI coding agents for code reviews and audits

• Strong professional experience with Node.js
• Experience with BDD, Gherkin, and behavior-driven test suites
• Experience testing HTTP APIs
• Working knowledge of MariaDB or similar relational databases
• Experience with Docker

Optional requirements:
• Experience using AI coding agents such as Claude Code, Codex, Cursor
• Application security and vulnerability testing
• CI/CD test automation

• Conduct independent validation of credit risk, financial risk, stress-testing, statistical and ML models.
• Assess model methodology, assumptions, data quality, implementation and performance
• Develop benchmarks models
• Perform backtesting, sensitivity and stability analysis
• Identify, assess and monitor model risks

• Statistics and econometrics, including probability distributions, hypothesis testing, regression analysis and time-series methods.
• ML (decision trees, gradient boosting)
• Model validation metrics (discrimination, calibration, stability)
• Python or R
• Bachelor’s or master’s in statistics, mathematics, economics, DS, CS, or related

Optional requirements:
• Experience with credit risk models
• Knowledge of banking risk-management and model-development processes
• English

• Design and develop ETL/ELT pipelines
• Build data marts and optimize SQL
• Setup data access and integrations
• Manage pipelines in Airflow
• Maintain data governance and quality

• Confident in Python and SQL
• Experience with ETL/ELT pipelines
• Understanding of data modeling and DWH
• Experience with relational databases (PostgreSQL)
• Understanding of Git, CI/CD, and Docker

Optional requirements:
• Federated engines (Trino / Presto)
• Data catalogs and data lineage (OpenMetadata / DataHub)
• Basic understanding of LLM/RAG

• Analyze product metrics to influence decisions
• Collaborate with business on strategy
• Conduct and evaluate experiments
• Identify insights in data and form hypotheses
• Visualize data and draw conclusions

• SQL
• Python
• product analytics experience
• understanding of metrics and business context
• experience with experiments (A/B, causal)

Optional requirements:
• Google BigQuery / cloud DWH
• Power BI
• Airflow / ETL

• Development, maintenance and monitoring of risk models for IFRS 9 provisioning processes: PD, LGD, macro-models
• Participation in the development of financial and operational risk models
• Monthly calculation of provisions for the credit portfolio
• Data analysis, preparation of analytical reports and handling of ad-hoc requests
• Participation in audit and regulatory reviews, including AQR and supervisory stress testing (НСТ)

• higher education in mathematics, statistics, economics, finance, IT or related fields
• at least 1 year of experience in risks in the banking sector or Big4
• understanding of credit risk, provisioning and banking products
• strong knowledge of Excel
• experience with Python and/or R