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Senior Python Engineer - Data & ML Systems

Finclude (fka. Verge.Capital)

Role overview

Qualifications

  • 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

Responsibilities

  • 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

About the company

Finclude (fka. Verge.Capital) logo

Finclude (fka. Verge.Capital)

At Finclude, we are redefining the landscape of credit scoring across Europe. With a deep commitment to innovation and financial inclusivity, we offer a unique pan-European credit scoring system that leverages transactional data to assess consumers’ creditworthiness – especially those without a traditional credit history. Our Mission: Democratizing credit scoring for the over 200 million people in Europe who are currently underserved by conventional credit systems. We aim to bridge the gap between financial institutions, fintechs, large retailers, and consumers who have been overlooked due to the absence of a universal credit score. Our Services: Finclude develops cutting-edge solutions tailored for a diverse range of clients including banks, fintechs, credit reference agencies, retailers, property renters, and betting companies. We offer: 1. Innovative Creditworthiness Assessment: Utilizing machine learning models, we provide forward-looking, inclusive assessments based on transactional behavior, irrespective of a consumer's credit history. 2. Regulatory Compliance: As a licensed Account Information Service Provider under PSD2, we ensure complete GDPR compliance and secure access to consumer banking data across the European Economic Area. 3. Comprehensive Consumer Insights: Our technology enables businesses to obtain a 360° view of their consumers' financial assets, enhancing decision-making processes and personalizing service offerings. 4. Digital Onboarding Acceleration: With our API suite, businesses can streamline their digital onboarding processes, expand their addressable markets, and foster upselling/cross-selling opportunities. We invite you to follow Finclude on our journey as we transform consumer credit assessments based on transactional behavior. Stay updated with our latest innovations, industry insights, and how we're contributing to a more inclusive financial ecosystem in Europe.

Company details

Company size11 - 50

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Job description

About us

Finclude is a Dublin-based fintech pioneer revolutionizing how creditworthiness is assessed across Europe. We are bridging the gap for over 200 million people who lack traditional credit access by replacing outdated history-based models with real-time, AI-driven transactional intelligence.

What you’ll be working on

You will work on a Python-based system responsible for:

  • 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

How we work

  • Small team, high ownership
  • Direct impact on architecture and product decisions
  • Pragmatic approach over over-engineering
  • Close collaboration between engineering and R&D

Why join

  • Work on non-trivial data problems with real-world impact
  • Build systems from the ground up, not just maintain them
  • Be part of a team where engineering decisions matter

Requirements

What we’re looking for

  • 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

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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