Lead relationship between strategy and treasury teams with data-science, including line-managing and mentoring three other data scientists
Fixed Term and Non-Maturing Deposit analytics. Statistical (kruskal-wallace, pearson chi^2 etc) test used in combination with novel performance metrics such as cannibalisation to inform management on interest rate decisions
Architect use of DBT pipelines as both an ETL step as well as an auditable execution framework for regulatory models
Starling Bank
Data Scientist, Data
February 2022 - February 2023
Financial calculation development, such as EIR, in Python
Probability of Default / Loss Given Default and Exposure at Default model development for IFRS9 classifying credit risk for c£3bn of assets
Redevelopment of consultancy R default model into Python
Starling Bank
Credit Risk Analyst, CEOs Office
March 2021 - February 2022
Acted as lead credit analyst for portfolio acquisitions in excess of £1bn
Presented findings to exec team during monthy Credit Risk Committee meetings
Developed ongoing MI using Looker on default profiles by vintage etc
Zopa
Credit Risk Analyst, Credit Cards
September 2019 - March 2021
Developed a Credit Card risk and control framework. Implemented via SQL stored procedures / AWS Lambda + SNS. Resolution of triggers lead to a 15% increase in customer acquisition
Analytics and subsequent monitoring for pricing and customer tartgeting campaigns using Python and SQL/Tableau
education
University of Warwick
MEng, Computer Science
September 2015 - July 2019
Masters Thesis: Using Blockchain for Supply Chain Management
Final year module focus on; Machine Learning, Game Theory, Mathematical Optimisation Methods