Жұмыс орындары

• 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

• Design and build an LLM-based chatbot
• Deploy and maintain AI systems
• Select and integrate foundation models
• Develop RAG pipelines and chatbot APIs
• Optimize inference and response quality

• 4+ years in AI/ML systems
• Python, PyTorch, Transformers; LLMs and NLP
• RAG architectures and vector databases
• Production services and APIs
• Docker and cloud infrastructure

• Open-source LLMs; LangChain or similar
• GPU inference optimization
• ML/AI platform design or technical project leadership

• Develop and maintain React 19 + TypeScript web applications
• Implement new features and improve existing solutions
• Build data-dense tables, virtualization, dashboards and map interfaces
• Integrate REST APIs and realtime communication via SignalR/WebSocket
• Optimize rendering and heavy computations using profiling, virtualization and Web Workers

• 3+ years of commercial React development
• Strong TypeScript and React API knowledge
• Server state management with TanStack Query or RTK Query/SWR
• Client state management with Zustand, Redux or equivalent
• REST API, Tailwind CSS, shadcn/ui or Radix UI experience

Optional requirements:
• TanStack Query / Router / Table / Form, Zod and type-safe forms
• GIS MapGL, Leaflet or Mapbox
• PWA or video streaming
• Node.js back-office services and Web Workers