Senior Python Engineer – Data & ML Systems

🔥 31 minutes ago

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Finclude (fka. Verge.Capital)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

💳 Fintech

🏦 Banking

🔌 API

Fintech • Banking • API

Finclude (formerly Verge. Capital) is a Dublin-based fintech that provides PSD2-licensed Open Banking data and an API to generate creditworthiness and affordability scores from banking transactional data. Their platform uses smart categorization, adaptive learning for cash-flow projections, and plug-and-play API integration to help lenders and other businesses minimize defaults, manage risk, provide the right amount of credit, and offer early warnings for late payments — including for customers with little or no credit history. Finclude positions itself as a digital, instant credit decisioning solution based on transactional behavior and licensed Open Banking capabilities.

📋 Description

• Processing and transforming transactional data from multiple banking sources • Designing data pipelines tailored to real-world data inconsistencies and edge cases • Building systems for data normalization, categorization, and enrichment • Supporting the development and integration of scoring models and ML-driven features • Collaborating with R&D to bring experimental models into production • Designing scalable, event-driven processing workflows • Contributing to architecture decisions across data, pipelines, and system design

🎯 Requirements

• Strong experience with Python in production systems • Solid understanding of data pipelines and transformation workflows • Strong SQL skills and experience with PostgreSQL • Experience working with messy, real-world data • Experience integrating or deploying ML/analytics models into production • Familiarity with event-driven or distributed systems • Experience with Docker and Kubernetes • Ability to write clean, maintainable, well-structured code • Comfortable working in a small, high-ownership team • Nice to have • Experience with fintech or transaction data • Experience with cloud platforms (e.g. Amazon Web Services, Google Cloud Platform) • Familiarity with message queues and event-driven architectures • Exposure to applied machine learning workflows

🏖️ Benefits

• Enjoy a competitive salary • Work alongside exceptional and lovely people • Sharpen your technical skills on challenging projects, and through generous learning time • Have ownership of your role, enjoy the impact you create and the ability to steer the technology & culture of the company • Private Health Insurance • Training & Development • Laptop • Phone - Mobile Plan • Paid Time Off • Work From Home