Data Scientist (SAS, SQL, Hadoop, Hive, Python, R, Matlab)
Our client is a global bank, who is achieving fantastic growth and success. Due to this growth they are searching for a Data Scientist to join their highly skilled analytics function in London.The Data Scientist will sit within the customer conduct team within Regulatory Compliance Analytics. The Data Scientist is responsible for developing descriptive analytics and predictive models to support the Regulatory Compliance function in the management and monitoring of customer conduct risks across the business lines and sites.This Analyst level role offers a chance to play a significant part in delivering the conduct risk management agenda through data management and statistical analysis, establishing clear and robust conduct governance and oversight.Key Accountabilities
The Data Scientist will be required to:o Support the definition and build out of the conduct risk frameworko Extract and analyse data through the use of SAS software (or other data management tools) from core systemso Provide assurance, through quality analysis, that staff performance is being achieved using well-intended means to deliver good customer outcomeso Identify and understand the root cause of complaints, poor staff behaviour and other conduct issueso Develop predictive models using traditional statistical modelling or machine learning techniqueso Ensure the provision and adoption, of high quality insight and recommendations to further enhance the customer experience and the management of conducto Define compliance metrics and design / deploy MI dashboards to provide insight into customer conduct issueso Execute the assigned projects/ analysis as per the agreed timelines and with accuracy and qualityo Complete analysis as required and document results and formally present findings to managementKnowledge & Experience / Qualifications Graduate / Post Graduate degree (or equivalent) in quantitative subject, including Statistics, Mathematics, Economics (with focus on Econometrics), Signal Processing Extensive working experience in relevant Analytics field. Knowledge and understanding of financial services preferred. Knowledge of statistical techniques and working experience in tools like SQL, SAS, Hadoop, R, Python, Excel / VBA Development, Tableau Data Interpretation Modelling and Data Analysis Project based business knowledge. Ability to diagnose issues and resolve simple to moderately complex issues. Good analytical thought process and aptitude for problem solving. Should be adept in using MS Office with exceptional MS Excel Skills, knowledge of VBA is preferable. Experience and Exposure to visualization technologies such as Qlikview/ Spotfire will be an added advantage.This is an excellent opportunity for an experienced Data Scientist to work for an industry leading, dynamic and forward thinking organization, offering excellent progression and development opportunities.If you feel that you have the necessary skills and experience to succeed in the role of Data Scientist then please apply now for immediate consideration.