Jobber - Director, Fintech & Risk Analytics

• Extensive experience in analytics, risk management, or financial services, with a proven track record leading and growing analytics or data science teams • Deep expertise in portfolio risk modeling, including hands-on experience applying IFRS 9 frameworks (PD, LGD, EAD, ECL staging) in a financial services or Fintech environment, and strong command of ROA/ROE and yield management frameworks • Past experience designing data-driven credit strategies — including credit line management, loan underwriting, and deposit or savings product analytics — alongside familiarity with SaaS-based Fintech products such as payment processing and lending • A demonstrated track record as an AI advocate and change agent, with experience leading or accelerating the adoption of machine learning or AI-powered decision systems in a risk or financial services context • Strong proficiency in analytical tools (SQL, Python, or R) and modern data stacks (e.g., Snowflake, dbt, Databricks), comfortable working across both raw financial data and curated semantic layers • The ability to translate complex quantitative findings into clear, compelling strategic narratives for executive and non-technical audiences alike • A natural instinct for balancing rigour with speed — you know when to go deep and when to move decisively • A bachelor's degree in a quantitative discipline (Mathematics, Statistics, Economics, Finance, or Engineering); a graduate degree (MBA, MSc, or equivalent) is an asset