Credit Risk Analytics
Company Name:-
OakNorth Bank
Job Location:-
Gurgaon, Haryana
Job Summary:-
Launched in September 2015, OakNorth Bank provides fast, flexible and accessible debt finance (from £500k to £50m) to fast-growth businesses.
Through leveraging the ON Credit Intelligence Software, OakNorth Bank has become one of the fastest-growing business in Europe according to the Financial Times (FT 1000), and has performance metrics that place it amongst the top 1% of commercial banks globally in terms of ROE, efficiency ratio and Net Promoter Score.
It has lent several billion pounds to hundreds of businesses across the UK who have collectively gone on to create tens of thousands of new homes and jobs across the country.
Our investorsOakNorth 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:*Developing wholesale credit risk models PD/LGD for Real estate and Corporate portfolio as per IFRS9 requirementsExperienced in statistical modelling for low default portfoliosCoding in SAS/R/Python for data creation and modellingAnalyzing, explaining, validating and documenting the models and their results.
Assisting in research, modelling and development for refinement of the current credit risk frameworkCommunicating with stakeholders, internal audit, model validation, regulatory agencies and responding to their requests on a timely and accurate basis.
*Desired Skills: 4-8 years of relevant experience at a financial institution or a consulting firm, preferably on a Quant/ Data Science role in a data-rich environmentExperienced in modelling for Real estate and Corporate portfolioPreferably Masters degree in a quantitative field such as Statistics, Mathematics, Operations Research, Economics, or Finance, or equivalentExperienced in developing/validating credit risk – PD/LGD/EAD/Stress testing modelsExperienced in provisioning as per IFRS9 implementation for banksProficiency in programming and Advanced Statistical Techniques R/SAS/Advanced excelAnalytical thinking, quantitative abilities and problem solving skillsUnderstanding of risk management concepts like Stress-Testing, regu
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