Naukrijobs UK
Register
London Jobs
Manchester Jobs
Liverpool Jobs
Nottingham Jobs
Birmingham Jobs
Cambridge Jobs
Glasgow Jobs
Bristol Jobs
Wales Jobs
Oil & Gas Jobs
Banking Jobs
Construction Jobs
Top Management Jobs
IT - Software Jobs
Medical Healthcare Jobs
Purchase / Logistics Jobs
Sales
Ajax Jobs
Designing Jobs
ASP .NET Jobs
Java Jobs
MySQL Jobs
Sap hr Jobs
Software Testing Jobs
Html Jobs
IT Jobs
Logistics Jobs
Customer Service Jobs
Airport Jobs
Banking Jobs
Driver Jobs
Part Time Jobs
Civil Engineering Jobs
Accountant Jobs
Safety Officer Jobs
Nursing Jobs
Civil Engineering Jobs
Hospitality Jobs
Part Time Jobs
Security Jobs
Finance Jobs
Marketing Jobs
Shipping Jobs
Real Estate Jobs
Telecom Jobs

Decision Science Specialist

Job LocationLondon
EducationNot Mentioned
Salary50,000 - 65,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

Decision Science SpecialistUp to £65,000 + benefits + bonusLondonIm currently recruiting for a Lead Decision Science Analyst for a quantitative modelling role at an exciting lender. This is a chance to help a fast growing business use statistical modelling and machine learning to drive their lending decisions.There will be daily exposure to senior management and director level. The team are exploring new and innovative ways to use data to improve speed and precision of credit decisions and as such this is a great role for anyone with Credit Risk modelling experienceand advanced coding and mathematical skills.THE ROLEAs part of Decision Science team, you will be a key player in the development of IFRS9 Models and Scorecard models using SAS and Python. You will be actively encouraged to find new and inventive ways of answering questions using data and optimising the portfolio.YOUR SKILLS AND EXPERIENCE

  • Credit Risk Scorecard and IFRS9 model development experience required
  • Ability to apply progressive techniques to decision making models
  • Strong modelling or analytical skills utilising SAS, Python or R
  • Experience using SQL to manipulate data
  • Previous experience in analysing consumer behaviour in a Credit Risk environment
  • Proven stakeholder management examples
  • Educated to a degree level in a numerate discipline
HOW TO APPLY:Email your CV or use the apply feature on this pageKEYWORDS:Credit Risk Analytics, Credit Risk Models, Basel, AIRB, Scorecards, Decision Science, Machine Learning, Data ScienceSAS, SQL, PD, LGD, EAD, IFRS9, Logistic Regression, Decision Tree, Probability of Default, Exposure of Default, Loss Given Default, NEural Networks, FUzzy Logic, Python

APPLY NOW

© 2019 Naukrijobs All Rights Reserved