Strategic Analytics Senior Manager
£65,000 - £75,000
Our client an international bank based in London urgently require a Strategic Analytics Senior Manager, to join their analytics team on a permanent basis.
They require a candidate with previous analytics experience in credit cards, retail banking or other mass customer focused business to drive profit growth or manage risk/costs in the business.
Responsibilities of the Strategic Analytics Senior Manager will include:
Ownership of analytics for business decisions to deepening relationship with customers by analysing product policies, experience and conduct risk management initiatives.
Applying new financial modelling approaches and introduce machine learning methods in order to bring transformation to decision management.
Committed to going much further in harnessing power of our enormous data assets to create amazing customer experiences, deliver digital services, inform strategic asset growth options and optimise risk-reward trade-offs in our business decisions.
Developing new growth opportunities by analysing patterns in vast collections of existing and new data sources.
Collecting data records every day from customer’s Account Management; Card Transactions; Servicing & Marketing interactions through Website, Call center, Direct & Digital Marketing; Credit Reference Agencies & Banking Relationships.
A Successful Strategic Analytics Senior Manager will have:
Previous analytics experience.
Previous hands on programming experience.
The ability to analyse complex information in order to identify creative new ways of working and innovative solutions to problems.
Degree in a quantitative field (Mathematics, Statistics, Physics, Engineering, Machine Learning, Computer Science etc.) or equivalent.
Previous experience of using supervised or unsupervised modelling methods.
Expertise of using supervised or unsupervised modelling methods (such as Logistic Regression, Decision Trees, Clustering, Time Series Modelling) in business environment for customer segmentation & proposition enhancements.
Solid hands on programming experience with following standard data science tools: SAS, SQL, Python, R, Scala/Spark
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