The Senior ML Engineer will spearhead the end-to-end development, deployment, and
stewardship of machine-learning solutions that power credit-risk, collections-strategy,
conversion-optimisation, and fraud-detection processes in MD Finance. Working hand-
in-hand with Risk, Product, Operational and other teams, the role will translate business
goals into robust models, ensure their ongoing performance, and identify new AI/ML
opportunities that raise the company’s bottom line.
Professional qualifications * 7+ years’ experience in Machine Learning / Data Science, with 3+ years in credit- * lending organisations. * Demonstrated delivery and productionisation of Probability-of-Default (PD)models, credit-limit strategies, fraud-detection, conversion-uplift, and collections- * optimisation models. * Advanced Python proficiency and solid grasp of modern ML algorithms, feature * engineering, and model-evaluation best practices. * Ability to write, structure, and optimise complex SQL queries. * Deep understanding of the credit lifecycle, especially online lending workflows. * Proven skill in sourcing, cleansing, and generating features from data sets. * Comfortable setting up and maintaining modelling environments (local, cloud, or * on-prem). * Detail-oriented, accountable, and committed to both team and individual targets. * English B1 or higher.
Preferred / bonus qualifications * Practical experience with LLM solutions. * Experience with Computer Vision models for document or image processing. * Building ML pipelines and deploying models to production. * Creating executive dashboards and model reports in Power BI.
Main responsibilities * Design, train, and deploy probability of default models. * Build credit-limit strategies. * Discover and scope AI/ML opportunities that boost efficiency and revenue of the company, including collections optimisation, fraud control, conversion lift, etc. * Analyse data sources and engineer features for modelling. * Produce and update internal model documentation. * Implement model monitoring. * Plan and execute A/B tests. * Build Computer Vision pipelines to automate lending workflows. * Develop LLM-based solutions that streamline internal processes or enhance customer experience.
Expected results * Implemented probability of default models and credit-limit strategies. * Launched A/B tests for models that potentially can boost the efficiency and/or revenue of the company. * Thorough, audit-ready documentation for models
What We Offer * Join a fast-scaling FinTech company where your decisions shape the business and your contributions truly matter. * Attractive salary package aligned with your experience and performance, plus performance-based incentives. * Enjoy 20 vacation days, full 100% sick leave compensation, and a supportive, people-first culture. * Learning, sports and medical insurance compensation. * Work in an international, agile team with ambitious goals, modern tools, and a strong sense of purpose.
