Collect and analyse data to identify credit risk (IFRS9, CECL, ECL, delinquency, roll rate, charge-off and prepayment) trends and drive insights to further strengthen loss forecasting analytics.

Craft dashboards to track KPIs around portfolio performance, including deep diving into credit strategies and their impact on it.
Develop and maintain loss and prepayment forecasting processes for every consumer product fintech offers.
Extend analytical support to advance fintech collections strategy and build forecasting frameworks for key collections KPIs.
Use analytical techniques to mine loan characteristics/performance data to extract valuable insights for the business.
Use data visualization techniques to develop relevant reports for Senior Management.
Track industry environment and competitor landscape to support the business.
Correlate Macro-Economic conditions with fintech internal loan performance to support recession readiness and long-run planning.
Leverage forecasting outputs in the monthly allowance process (CECL) and identify areas where qualitative adjustment is needed.
Support planning and budgeting exercises within the company by leveraging forecasting assumptions and outputs.
Work closely with key partners to ensure forecast and allowance assumptions are accurate

Preferred candidate profile

5+ years of experience in credit, analytics, IFRS9, CECL, ECL, risk management, data science, or information management.
Bachelors or master's degree with a quantitative background (e.g. Statistics, Math, Engineering, Economics).
Strong technical skills such as SQL, SAS, R and Python.
Experience with BI/data visualization tools (like Tableau or Excel to create dashboards).
Excellent written and verbal communication skills, including the ability to communicate project scope in documentation and presentation format.
Experience in the Financial / FinTech industry is a plus.
Previous experience with loss forecasting and collections analytics, allowance and stress

Mandate:

IFRS9, CECL, ECL, SQL, Python is mandatorily required.

Loss Forecasting