Open to permanent or contract roles in credit, analytics, product or data strategy – remote or hybrid (North West UK-based).
BigQuery, Spark, Athena, Azure SQL, Cosmos, Netezza, Microsoft SQL Server and Teradata.
15+ years writing production SQL across platforms for analysis, dashboards and decision systems.
GCP (BigQuery, Google Storage, Data Studio),
AWS (Athena, S3, Glue, QuickSight),
Azure (Azure SQL, Cosmos),
Salesforce and Databricks.
Looker, Power BI, Data Studio and QuickSight.
Built dashboards for underwriting, collections and AML, turning raw data into operational insight.
Deep expertise in credit risk modelling, affordability assessment and responsible lending practices. Specialist knowledge of credit reference agency data.
Comprehensive understanding of FCA CONC, SCOR PoR, GDPR, CCA and Consumer Duty regulations, ensuring robust compliance frameworks.
Specialist in HCSTC, BNPL, and green energy leasing markets with experience implementing solutions across diverse financial services.
I’ve built predictive models across marketing, collections, and credit risk using a mix of statistical and machine learning techniques. Tools used include Python, R, SAS, Weka, Logical Glue, and DataRobot.
NBrown
Built logistic regression, decision trees & neural networks in SAS
Focus: Propensity to buy and customer targeting
Arrow Global
Used R and Weka to build:
Logistic regression, decision trees & neural networks for propensity to pay and value of payment
A rules-based tracing model to predict correct address likelihood
Integrated CRA and public data across a large, noisy portfolio
Auden
Led development of credit risk, affordability & appropriateness models across HCSTC loans
Used R, Python, Weka, Logical Glue & DataRobot
Created thousands of features for ML
Led the transition to automated model deployment
Riverty
Commissioned Experian to build a custom credit risk model
Defined target variable & sample design
Oversaw development, validation & deployment readiness
Hometree Finance
Refined a rules-based underwriting model
Introduced affordability logic & enhanced credit decisioning policy
Increase in Approval Rate
At Hometree, rebuilt credit & affordability strategy — boosting approval rate from 46% to 80% (a 74% relative uplift) without compromising credit quality.
Loans Modelled
At Auden, developed a proprietary retrospective dataset of over one million HCSTC loans with over 10k features used to build ML models for risk, affordability, and appropriateness.
Solutions Delivered
At Experian, led delivery of the Mini Bureau product for major debt purchasers, managing multiple migrations and client onboarding worth £1m+ each.
I’ve consistently taken the lead on credit strategy, model development, and data-driven decisioning. That includes building functions from scratch, mentoring junior analysts, and owning risk policy as a sole contributor.
At Auden, I grew the credit risk and analytics capability from the ground up, building a team of six data scientists and two analysts. I led all aspects of the work throughout, from hands-on model development to shaping team direction.
At NBrown and Experian, I supported and mentored junior analysts, helping them develop skills in SQL, SAS and problem-solving. At Arrow Global, I stepped into a leadership role within a flat team structure, taking ownership of modelling strategy and credit bureau data.
More recently, I have been the sole credit risk lead at both Riverty and Hometree, responsible for credit strategy, affordability, and regulatory alignment.