Senior Machine Learning Engineer
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Summary
Senior ML engineer at Finom (a European fintech for SMB banking) who owns the Dynamic Risk Score end-to-end: building, deploying, monitoring, and improving production ML models for financial crime detection in transactions and client onboarding. Core stack is Python, SQL, FastAPI, and cloud data platforms like Databricks.
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. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat.
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
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
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.
Skills
As published by lever · 9 questions · 2 written answers
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL
Short answers (2)
- How soon are you available to start a new role?
- What are your salary expectations per annum (EUR Gross)?
Pick from a list (5)
- Please select the level that most accurately describes your professional English communication skills (written and verbal) optional
- Do you have 5 years of experience shipping ML solutions to production? optional
- Do you have hands-on experience with cloud platforms like Databricks? optional
- Are you skilled in deploying ML models and APIs (FastAPI or similar) in real-world systems? optional
- Are you fluent in English and ready to collaborate with global teams? optional
Written answers (2)
- What is your current work authorization status for the country where you plan to be primarily based? Please specify the type of document/visa and its validity
- What is your country of residence?