AI/ML Engineer (Fintech)

Location: Hybrid, Athens, Attica, Greece

Company

QUALCO delivers software, analytics, artificial intelligence, and digital solutions for banks and financial institutions across the credit and lending lifecycle. The role supports the development of a new non-bank lending entity in Greece, currently undergoing licensing with the Bank of Greece and targeting launch in H1 2027.

What you will do

• Design, implement, and maintain ML flows in Qualco ML Studio, covering data ingestion, feature engineering, model scoring, and decision outputs for the credit decision engine.
• Build and own integrations with application databases, the D3E data layer, external credit bureaus, APIs, and other data sources while maintaining data quality, latency, and reliability.
• Implement end-to-end ML pipelines for application scoring, limit setting, fraud detection, and behavioral monitoring using Workflow Canvas and AutoML capabilities.
• Translate model specifications into production-ready flows with Data Scientists and embed model outputs into credit decisioning workflows with Product and Engineering.
• Build and maintain CI/CD pipelines for model deployment, versioning, monitoring, traceability, and governance.
• Implement MLOps practices including model drift monitoring, retraining triggers, performance logging, audit trails, and integration across Qualco’s AI and non-AI suites.

Requirements

• 4+ years of professional experience in ML engineering or a closely related Data Engineering role.
• Proven experience building and deploying production ML pipelines, not only prototypes.
• Strong Python skills and proficiency with ML libraries such as scikit-learn, XGBoost, LightGBM, or equivalent.
• Familiarity with SQL and data pipeline tooling.
• Experience with CI/CD practices, Git, Docker, Kubernetes, and MLOps tooling for model delivery and monitoring.
• Hands-on experience integrating data from multiple sources, including APIs, databases, third-party bureaus, or equivalent systems.
• Understanding of model interpretability and explainability requirements in a regulated credit context.
• Fluency in Greek and English, both oral and written.

Nice to have

• Experience in financial services, fintech, banking, or another regulated environment involving model governance and audit trails.
• Familiarity with credit risk use cases such as application scoring, behavioral models, PD/LGD, or collections prioritization.
• Knowledge of Teiresias or equivalent credit bureau integrations, or open banking data sources.
• Experience with cloud platforms, preferably Azure, and understanding of data lake or data warehouse architecture.
• Exposure to Qualco ML Studio or similar low-code and AutoML platforms for financial ML.

Culture & Benefits

• Teamwork, integrity, client focus, agility, innovation, quality, and excellence in a human-centered environment.
• Competitive compensation, meal vouchers, and annual bonus programs.
• IT equipment, mobile phone, data plan, modern facilities, free refreshments, indoor parking, and an in-house restaurant.
• Private health insurance, occupational doctor, workplace counselor, nutritionist, onsite gym, and wellness facilities.
• Career development tools, mentoring, coaching, and a personalized annual learning and development plan.
• Employee referral bonuses and regular wellbeing, ESG, and volunteering activities.

Hiring process

• Submit the CV and application materials in English.