8 дней назад
Senior Machine Learning Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (Fintech): Building and operating production machine learning systems for financial crime detection, transaction processing, and client onboarding with an accent on end-to-end model ownership, risk scoring, and infrastructure for model serving. Focus on daily client-base scoring, continuous monitoring, champion-challenger evaluation, and optimizing ML-driven transaction rules and alerts.
Location: Spain; remote, with flexibility to work remotely or in a hybrid model across Europe.
Company
is a European fintech startup building an all-in-one financial platform for entrepreneurs, combining banking, accounting, financial management, and invoicing.
What you will do
- Develop, prototype, deploy, and improve binary classification and regression models for financial crime detection during transaction processing and client onboarding.
- Own and evolve the Dynamic Risk Score across all markets, scoring the full client base daily for client-lifecycle decisioning.
- Develop and optimize ML-driven transaction rules to improve detection performance and reduce unnecessary alerts.
- Build continuous monitoring for model and rule performance in production.
- Develop champion-challenger and A/B evaluation frameworks to keep the best-performing model live.
- Contribute to infrastructure for model operationalization, serving, inference, and inter-service interactions.
Requirements
- At least 5 years of experience as a Machine Learning Engineer or Full-stack Data Scientist.
- Production deployment experience, including API services such as FastAPI.
- Strong Python, SQL, and cloud data platform skills, including platforms such as Databricks.
- Strong architectural skills and experience designing infrastructure for models of varying complexity.
- Experience with production model monitoring and champion-challenger or A/B evaluation.
- Quantitative education in mathematics, engineering, economics, or computer science, plus full working proficiency in English.
Nice to have
- Experience with graph modeling.
- Experience with foundation models or embeddings.
Culture & Benefits
- Work remotely or in a hybrid model across Europe.
- Access to personal and professional development opportunities.
- Stock options available to all team members.
- Supportive, friendly, and eco-conscious work culture.
- Work & Swim program offering one month in a corporate apartment in Cyprus.
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