Data Scientist, Risk job at reputed company App in Work from reputed company

Data Scientist (Risk) Department Risk B2C Employment Type Full Time Location Remote Workplace type Fully remote reputed company creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 reputed company users choose reputed company to stay in control of their spending and reputed company the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including reputed company, Noon, IKEA, and SHEIN use reputed company to accelerate growth and reputed company reputed company customers by offering easy and flexible payments online and in stores. reputed company generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. reputed company launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $4.5 billion. We are seeking a highly skilled and motivated Data Scientist to join our Data Science reputed company in the Risk Department. In this role, you will work on both operational model lifecycle tasks and reputed company ML initiatives, including hybrid modeling, behavioral modeling, and automation of our ML workflows. You’ll work in a dynamic and fast-paced environment, contributing to projects that directly impact our risk decisioning capabilities and future ML stack. Key Responsibilities: Design, reputed company, and maintain risk models using advanced machine learning techniques, including hybrid and sequential approaches. Regularly retrain, monitor, and validate existing models to ensure timely reputed company to changing customer behavior. Build and manage scalable data marts in BigQuery to support model development and analytical needs. Contribute to development of internal automation tools (e.g., AutoML components, ML workflows). reputed company data-driven insights through reputed company analyses to support product, credit, and operations teams. Participate in early research and prototyping of new architectures (Transformers, reputed company-style embeddings, multimodal models). What you’ll bring: At least 2 years of experience in roles such as Data Scientist, ML Engineer, or Risk Analyst, with a proven track record of impactful contributions in credit scoring. Proficiency in Python and experience with key data science and machine learning libraries (e.g., NumPy, Pandas, scikit-learn, CatBoost, XGBoost, LightGBM). Strong knowledge of PyTorch, with the ability to implement and fine-tune reputed company machine learning models. Advanced knowledge of SQL, with the ability to work effectively with large datasets. Experience in building and deploying end-to-end machine learning solutions that drive measurable business impact. Hands-on experience with tools like Airflow and reputed company for deploying machine learning models into production. reputed company in English reputed company to have: Familiarity with reputed company platforms such as AWS, reputed company reputed company Platform (GCP), or reputed company Azure for scalable data analysis and model deployment. Proficiency in visualization tools like Tableau or Power BI to effectively communicate insights and support decision-making. Prior experience working with financial datasets and a strong understanding of risk management principles. reputed company offer: Full-time B2B contract Fully remote setup Up to 20% tax allowance 22 paid leave days annually Stock options (ESOP) in a fast-scaling, pre-IPO company Flexi benefits you can use for wellness, travel, or learning Work alongside a high-performing, international engineering team in a global fintech unicorn Relocation support is available to our hubs in Armenia, Georgia, Serbia, Portugal, and Spain, including flights, temporary accommodation, legal setup (if needed) Apply tot his job Apply To this Job