Small and medium-size enterprises (SME) are one of the biggest drivers of growth and innovation in economies all over the world. Despite these companies being a powerful force in the economy, many SMEs find it difficult to raise capital during critical stages of their company growth. Traditional commercial lending is optimised to make loans that are either too small to be effective or too large and expensive to be practical. At OakNorth, our mission is to help lenders fill this gap which we refer to as the “Missing Middle.” We are building a SaaS platform called the Credit Intelligence Suite which transforms commercial lending by helping banks build deeper relationships with their clients, open new, more profitable opportunities, whilst delivering credit decisions up to ten times faster than traditional models, with lower risk and greater efficiency.
AVP - Data Science will develop Statistical Models using statistical techniques including time series analysis, multivariate regression, test of significance etc.
This will help us to analyze large financial/market/high-frequency data sets and provide business performance conclusions for companies across multiple sectors e.g. linking macroeconomic data with specific sector performance, linking cost with revenue performance.
Job Responsibilities
Develop statistical models to analyze large financial/market/high-frequency data sets and provide business performance conclusions for companies across multiple sectors e.g. linking macroeconomic data with specific sector performance, linking cost with revenue performance
Desired Skills
SHORTDESCRIPTION
You will develop Statistical Models using statistical techniques including time series analysis, multivariate regression, test of significance etc. This will help us to analyze large financial/market/high-frequency data sets and provide business performance conclusions for companies across multiple sectors e.g. linking macroeconomic data with specific sector performance, linking cost with revenue performance.
OakNorth is the creator of the ON Credit Intelligence Suite, the industry’s first ML-powered, data-driven technology that gives commercial lenders a forward looking, 360-degree view of their borrowers. These deep sector insights mean that Relationship, Portfolio, and Risk Managers can now truly engage with their clients, make better credit decisions, anticipate challenges and propose solutions.