snappi

Data Scientist

• End-to-end data platform: ingestion, pipelines, architecture, quality, and governance
• Business intelligence and management reporting
• Regulatory data reporting to the Bank of Greece and ECB
• Data Governance framework: policies, lineage, stewardship, and GDPR alignment
• Credit scoring models, AI/ML underwriting capabilities, and financial resilience metrics
• Data team performance, development, and professional standards

Head of Data

Architect

• - Lead architectural definition and delivery of domain projects from concept to production handover.
• - Translate business, compliance, and legal requirements into clear technical solutions and target architectures.
• - Act as the lead technical counterpart for third-party providers (SaaS vendors, integration and specialist partners), managing dependencies, risks and escalations.
• - Coordinate across multiple development teams to ensure consistent implementation and serve as the primary technical contact for Project Managers, Engineering Managers and Product Owners.
• - Partner with product to balance business value, time-to-market, cost and maintainability.
• - Engage compliance, legal, security and infrastructure teams to align solutions with regulatory, security and enterprise standards.
• - Facilitate architecture review boards and design forums; communicate complex concepts clearly to technical and non-technical audiences.
• - Ensure adherence to enterprise architecture principles, security standards and infrastructure guidelines.
• - Embed security- and privacy-by-design (IAM, encryption, secrets management, logging, monitoring) and validate that integrations meet authentication, authorization and audit requirements.
• - Contribute to the evolution of architecture standards, patterns and reference designs.
• - Produce and maintain high- and low-level designs, integration specs, data flows, API contracts and architecture diagrams (logical, deployment, network, data, security).
• - Author runbooks, operational handbooks and SOPs; document NFRs, SLOs, capacity assumptions and known limitations.
• - Keep all artefacts version-controlled and accessible in agreed knowledge repositories.
• - Drive operational readiness (monitoring, alerting, backup, DR, support tooling) before go-live.
• - Lead handover to production/support teams, run knowledge-transfer sessions, and define go-live checklists, hypercare and post-implementation reviews.
• - Provide architectural support during early life in production and feed lessons learned into future designs.

IT Domain Architect

Full-stack Engineer

• You’ll design and build the systems that turn data and models into products.
• Building and maintaining APIs and services that connect our data, models, and downstream consumers
• Designing data pipelines that reliably deliver data on time and are straightforward to operate
• Owning services end-to-end: containerized, deployed on Kubernetes, and properly instrumented
• Helping build the MLOps foundations — training pipelines, feature stores, model serving, monitoring — alongside the analytics team
• Working alongside the predictive analytics team as engineering peers — translating their prototypes into systems that scale and last

Software Engineer – Predictive Analytics

Data Analyst

• - Implement, maintain and govern IFRS 9 Expected Credit Loss models (PD/LGD/EAD), ensuring model integrity and documentation.
• - Perform exploratory and advanced data analysis to support the Risk Management monitoring needs.
• - Automate routine analyses and reporting using Python/SQL/R to improve efficiency and controls.
• - Monitoring New Production and Lending Portfolio Quality.
• - Prepare and contribute to regulatory reporting packages (COREP, FINREP), ad‑hoc supervisory request and Business Plan preparation.
• - Liaise with IT, Data Management and Analytics teams.
• - Support ICAAP and ILAAP inputs, scenario analysis and capital/liquidity impact assessments.
• - Participates in On-site Inspections performed by the regulator.

Head of Data

IT Domain Architect

Software Engineer – Predictive Analytics

Quantitative Analytics Manager – Risk