Senior Machine Learning Engineer

Finom Inc

Lisboa

Vor Ort

EUR 60.000 - 90.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Stock options
Work in the EU
Professional growth
Work & Swim program
Cyprus apartment stay

Zusammenfassung

Finom Inc in Lisbon is seeking a Senior Machine Learning Engineer to develop full-stack ML models for fraud detection and risk scoring. You will gather requirements, prototype, and deploy in production.

You will own and evolve the Dynamic Risk Score across markets, optimize rule-based alerts, and help build scalable ML infrastructure with FastAPI and Databricks.

Qualifikationen

  • At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist with production deployment experience.
  • Strong in SQL and Python; experience with API services is required.
  • Experience with model monitoring and AB evaluation in production.

Aufgaben

  • Full-stack ML model development for detection and prevention of financial crime.
  • Own and evolve the Dynamic Risk Score across all markets.
  • Handle a portfolio of ML-driven rules and optimize alerts.
  • Set up monitoring and champion-challenger framework in production.
  • Contribute to ML infrastructure for deployment and inter-service interactions.

Kenntnisse

ML Engineer
Data Science
Python
SQL
API services

Ausbildung

Quantitative field (math, engineering, economics, CS)

Tools

FastAPI
Databricks
Cloud data platforms

Jobbeschreibung

About Finom

Finom is a European tech startup headquartered in Amsterdam, and we're on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform. We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million.

This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe. Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.

At Finom, we're not just redefining the entrepreneurial experience -- we're empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.

Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise.

What You Will Be Doing

Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets -- daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts.

Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred.

Who You Are

At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.G. Databricks). Strong architectural skills -- able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker -- proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English.

What You Will Get In Return
  • Make a genuine impact on the product
  • Work in the EU
  • Become a stock options holder
  • Receive unwavering support and care
  • Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture.
  • We offer constant support and care to ensure your Finom experience is successful and fulfilling.
  • Work & Swim program
  • Immerse yourself in our exclusive Work & Swim Program.
  • Spend one month in a comfortable corporate apartment in enchanting Cyprus.
  • It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement

At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Finom Inc Why Finom? At Finom, you'll be joining one of Europe's fastest-growing fintech scale-ups, where your work has a real impact from day one. We're building products that make life easier for entrepreneurs and SMEs, and we're doing it with talented people from all over the world. Our culture is collabor

Senior Machine Learning Engineer Lisbon, Portuguese Republic, PT

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