
51 - 200 employees
Founded 2015
💳 Fintech
🤖 Artificial Intelligence
Fintech • Artificial Intelligence
MD Finance is a Cyprus-headquartered fintech company that builds fast, easy-to-use non-banking loan and financial products for consumers and businesses across Europe and Latin America. Since 2015 it has managed millions of credit applications via an AI-powered platform, combining risk assessment, collections, and marketing expertise with machine learning to deliver simple consumer and business loan solutions. The company operates globally with about 80 team members and focuses on rapid, low-friction lending experiences.
🕒 April 17
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51 - 200 employees
Founded 2015
💳 Fintech
🤖 Artificial Intelligence
Fintech • Artificial Intelligence
MD Finance is a Cyprus-headquartered fintech company that builds fast, easy-to-use non-banking loan and financial products for consumers and businesses across Europe and Latin America. Since 2015 it has managed millions of credit applications via an AI-powered platform, combining risk assessment, collections, and marketing expertise with machine learning to deliver simple consumer and business loan solutions. The company operates globally with about 80 team members and focuses on rapid, low-friction lending experiences.
• Spearhead the end-to-end development, deployment, and stewardship of machine-learning solutions • Collaborate with Risk, Product, Operational and other teams • Translate business goals into robust models • Ensure ongoing performance of models • Identify new AI/ML opportunities that raise the company’s bottom line • Design, train, and deploy probability of default models • Build credit-limit strategies • Discover and scope AI/ML opportunities that boost efficiency and revenue • Produce and update internal model documentation • Implement model monitoring • Plan and execute A/B tests • Build Computer Vision pipelines • Develop LLM-based solutions to enhance customer experience
• 7+ years’ experience in Machine Learning / Data Science • 3+ years in credit-lending organizations • Advanced Python proficiency • Solid grasp of modern ML algorithms • Feature engineering and model-evaluation best practices • Ability to write, structure, and optimize complex SQL queries • Deep understanding of the credit lifecycle • Proven skill in sourcing, cleansing, and generating features from data sets • Comfortable setting up and maintaining modelling environments
• 20 paid days off annually • flexible scheduling • supportive, people-first culture • Learning, sports and medical insurance compensation
Apply Now🕒 April 17
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