Supporting the build, implementation, and ongoing refinements of the full suite of impairment accounting models under IFRS9.
Using automation and build robust controls as key pillars on which we build and deploy models.
Document models to a high standard and support the independent review process.
Regular evaluation and ongoing model monitoring.
Drive data improvement initiatives to support future model development.
Support ongoing development and optimisation of models as the portfolio grows and more data becomes available to drive improvements in models.
Liaise with teams like risk, finance, underwriting and collections to continually track model requirements and continuously enhance model performance.
Complying with all mandatory policies and develop and adhere to operational procedures to maintain a strong internal control environment.

You have at least 4 years’ hands-on risk modelling experience.
You have very good knowledge of statistical modelling techniques such as logistic and linear regression as well as machine learning modelling.
You are comfortable with large data sets, and data extraction and manipulation using Excel, SQL, Python & BI tools.
You have a proven track record with Python coding, and are comfortable using GenAI tools to increase coding productivity.
You have a good understanding of IFRS9, credit and lending concepts, preferably in commercial lending.
You are driven, self-motivated and passionate about building great solutions for the bank.
You can work independently and are flexible to adapt quickly to changing priorities within a very dynamic environment.
You work well with stakeholders across the business, and collaboratively within the team.
You have strong skills in writing technical documents as well as business focussed documents to get buy in from various stakeholders.
Experience of implementation of models into software applications is highly desirable.

Lending Models Analyst

Key skills