Data Science AVP Temp Role
Company Name:-
OakNorth Bank
Job Location:-
Bengaluru, Karnataka
Job Summary:-
OakNorths (ON) Credit Intelligence Suite 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.
Credit Intelligence is a data-driven technology that gives lenders a forward-looking view of the borrower based on expansive and dynamic data sets and scenarios specific to that business, using automated, continuous analysis of multiple drivers across the business, its peer group and the wider economy.
This provides an independent, consistent, detailed framework offering deep contextual insight that enables rapid underwriting, immediate stress-testing and more agile and targeted strategic lending.
Built over five years by an engineering and credit science team of over 250 people, the ON Credit Intelligence Suite has propelled OakNorth Bank in the UK into the top 1% of banks in developed markets in terms of RORE and efficiency, enabling it to profitably manage a multi-billion-dollar commercial lending portfolio – benefits that banks across the world can now realize.
In addition to OakNorths own bank in the UK, the software is also being deployed by banks around the world, including: Capital One, Fifth Third, PNC, SMBC, Customers Bank, Old National Bank, Modern Bank, and Lafayette Square in the US, and ABN Amro, NIBC and OIMIO in Europe.
Our investors
OakNorth Holdings (the group which includes OakNorth Bank plc and the various OakNorth software entities around the world) has raised over $1bn from leading investors, including: Clermont Group, Coltrane, EDBI of Singapore, GIC, NIBC, SMBC, Toscafund, and SoftBanks Vision Fund.
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
Hands on experience of using R or Python with focus on statistical packages and working with databases such as SQL
Extensively use statistical techniques including time series analysis, multivariate regr
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