Bachelor’s or Master’s in Data Science, Computer Science, Applied Mathematics, or related field 3+ years of experience in data science, machine learning, or risk modeling, ideally in fintech or banking Strong command of Python, SQL, and big data tools (e.g., Spark, Airflow, Hadoop, AWS/GCP/Databricks) Experience leading end-to-end model development in production environments Solid understanding of credit risk, fraud analytics, or financial modelling