Descripción del trabajo
We're working with a fast-growing financial technology company based in Abu Dhabi, UAE using AI and decision science to transform how businesses access and deploy growth capital.
They're looking for a Senior Data Scientist to work at the intersection of financial-product research, AI and decision intelligence. You'll tackle ambiguous commercial problems across credit, lending and investment, turning complex financial data into models, insights and practical AI-powered solutions.
You'll work closely with investment, credit, treasury, Data Science and Engineering teams, helping identify where data and AI can create meaningful commercial advantage.
What You’ll Do
Research new financial domains, products and commercial problems to understand where data and AI can create value
Identify, assess and structure relevant financial and alternative data sources
Develop models and analytical approaches across areas such as credit scoring, risk assessment, cash-flow forecasting and portfolio analysis
Take ambiguous problems from initial hypothesis through to MVP,
validation and iteration
Explore opportunities to automate financial and investment workflows using AI
Build practical AI solutions, including LLM, RAG and agent-based workflows, where they add genuine value
Translate complex quantitative analysis into clear recommendations, summaries and decision-support tools
Present findings and recommendations to investment, credit and business stakeholders
What We're Looking For
6+ years of experience in Data Science, Quantitative Modelling or AI/ML
Strong experience in a financial domain, ideally private credit, lending, underwriting, credit scoring, banking or risk
Experience with areas such as default modelling, LGD, model validation, credit risk or fixed-income products is highly valuable
Strong foundations in machine learning, statistics and data science
Advanced Python and strong SQL skills
Experience taking an ambiguous business probl
📌 Senior Data Scientist | Relocation To Uae (Madrid)
🏢 Umatr
📍 Madrid