Job description
Key Responsibilities / Deliverables
Develop market leading statistical models for the credit reference agency part of the Equifax UK business e.g. Risk Navigator credit bureau scores, collections scores, fraud models, other risk scores, affordability solutions, income verification products and solutions to identify consumer vulnerability
Utilise and blend all available data sources to ensure all models are highly predictive and market leading - consumer bureau, postcode insights, open source data & transactional insights
Apply traditional model development techniques and approaches (e.g. linear & logistic regression) as well as adopting new AI/ML techniques such as gradient boosting, random forests, clustering, etc.
Utilise the latest cloud based technologies and analytical tooling to support test and learn champion/challenger approaches towards new scores and models
Consider the creation of new characteristics/attributes to improve and maximise the predictive power of the model(s) as well as enhancing and creating other analytical products and services
Investigate and apply appropriate segmentation and sub-populations to maximise overall model & score performance
Liaise with internal stakeholders in a timely and effective manner towards the delivery of new scores and products e.g. Product Managers, Model Risk Management, Pre-Sales, Consultancy, Compliance, Technology, Data & Analytics, etc.
Work closely with Data Scientists and analytical teams globally across the Equifax business to share best practice and learnings
Adhere to relevant model development policies and procedures towards a successful deployment of scores and models e.g. sample design, good/bad definitions, rationale for exclusions, model development, model validation, implementation, etc.
Produce suitable documentation alongside the statistical development of the model(s)
Skills & Experiences - Essential
Extensive experience developing statistical models and scores across the consumer lending cycle e.g. application scores/models, behavioural scores, collections & recoveries models, fraud, etc.
Highly numerate with a relevant degree
Use of relevant analytical tooling on a day-to-day basis e.g. Python, BigQuery, Jupyter Notebook, SQL, etc.
Previous experience of developing regression models and scores - linear and logistic
Day to day exposure to large/complex datasets, analytical tools, spreadsheets, analytical platforms, etc.
Experience using credit bureau data in statistical models - raw and summarised data
Able to extract data from multiple platforms and create master datasets towards the development of statistical models
A team player, effective communicator with the ability to work unsupervised
Skills & Experiences - Desirable
Experience of developing AI/ML based solutions and models
Day to day use of G-Suite tooling, GCP and VertexAI
Experience of working in a credit reference agency and/or client environment e.g. Banking, Lending, Insurance, Public Sector, Utilities, etc.
Use of alternative data such as open banking transactional data in statistical models
Experience of working in a product development environment
Experience with standard product testing procedures (UAT, OAT, regression, etc.)
Adoption of champion/challenger approaches and techniques
Creative and innovative thinker
Strong track record of delivery
Team player with the ability to go above and beyond
