Job Title: AVP, Advanced Analytics
Location: 125 West Street, Wilmington DE
Barclays is a transatlantic consumer, corporate and investment bank offering products and services across personal, corporate and investment banking, credit cards and wealth management, with a strong presence in our two home markets of the UK and the US. Our goal is to become the bank of choice by providing superior services to customers and clients and supporting our stakeholders via a commercially successful business that generates long-term sustainable returns.
About Barclays in the US
Barclays offers corporate and investment banking and credit card services in the US. Our 10,000 US colleagues are located in offices across the country, with headquarters in New York City. In 2017, Barclays announced plans to create a world-class campus in Whippany, New Jersey, for our Technology, Operations and Functional teams in the US. Other principal locations include Delaware, Nevada, Ohio and Maine.
About CX & SA
The goal of this area is to create value and to exceed customer expectations with every interaction by providing the best actionable decision leveraging information, tools, analytics and feedback from our customers and colleagues. The area comprises three distinct areas: strategic analytics, customer experience, and business analytics.
Overall purpose of role
Responsible for leading Data Science, Machine Learning and Advanced Analytics initiatives across Strategic Analytics
Lead key advanced analytics initiatives starting from design, model development, summarizing findings to presenting recommendations to senior management team.
Build predictive models using traditional statistical methods (Logistic/Linear Regression, Decision Trees) as well as able to leverage Machine Learning algorithms (Cluster Analysis, SVM, Boosting, Random Forest etc.)
Work with various business stakeholders within Strategic Analytics to identify new opportunities to help improve existing business process with statistical models and segmentation schemes
Manage relationships with external vendors such as Experian to leverage alternative data sources and external scores
Develop actionable consumer insights for Barclays US cards, loans and deposits portfolio
Research on the latest trends in Big Data, Deep Learning and Data Science
Stakeholder Management and Leadership
Ability to work independently and in a team environment
Proactively Work with appropriate Strategic Analytics, Credit Risk and Finance colleagues
Good presentation and interpersonal skills
Decision-making and Problem Solving
Proficiency in SAS, SQL, EXCEL
Master's degree or foreign equivalent in Mathematics, Statistics, Engineering, Finance, Economics, Operations Research, Computer Science
Deep understanding of Machine Learning algorithms
Proficiency in R, Python
6-10 years of experience in credit card modeling or analytics
3 5 years people management experience
Experience with using Machine Learning techniques to solve complex business problems
Familiarity with Hadoop, Hive, Pig, Spark
Risk and Control Objective
All Barclays colleagues have to ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards.
To be considered for this role, click on the apply button now.
Barclays Values & Diversity
Dynamic working gives everyone at Barclays the opportunity to integrate professional and personal lives, if you have a need for flexibility then please discuss this with the hiring manager. We are an equal opportunity employer and we are opposed to discrimination on any grounds. It is the policy of Barclays to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, creed, religion, national origin, alienage or citizenship status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law.