at Barclays in Wilmington, Delaware, United States
Fraud Modelling Analyst Wilmington, DEBarclays Services Corp. What will you be doing? • Develop and maintain machine learning models used for fraud detection and business financial planning. • Develop best in class decision tools using Anaconda Server, H2O, Hadoop, Hive, Impala and Spark. • Formulate and apply statistical modelling, and use statistical and quantitative analysis and techniques to develop models used to mitigate loss of credit card business. • Work with team members in the Global Fraud Management and Technology teams to understand objectives, issues, and develop solutions contributing to model related decisions. • Plan and deliver fraud detection models for portfolios, meeting agreed deadlines and ensuring implementation of models in production systems. • Deliver insights and recommendations to improve business strategy and process. • Perform annual reviews, performance monitoring reviews, retrains, and remediation activity on models as required. • Ensure all deliveries conform to Model Risk Governance Framework and regulatory requirements, and produce robust, clear documentation. • Keep abreast of machine learning and fraud detection industry developments, conducting R&D to incorporate best in class modelling methodologies and disseminating learnings within the team. • Identify and evaluate the incremental value of additional information sources. What we’re looking for: Requires Master’s degree or foreign equivalent in Statistics, Mathematics, or closely related quantitative field plus two (2) years of experience in position offered or in a related Statistical Analyst, Modeling Analyst, or Model Developer role for a global financial services firm Full term (2 years) of experience must include: • Analyzing data, developing and implementing quantitative models using SAS, Python and H2O; • Utilizing statistical analysis to manipulate and prepare/process data for model development; • Using machine learning techniques to develop fraud detection models; • Using big data skillsets including Anaconda server, H2O, Hadoop, Spark, Hive, and Impala to create features and develop models from datasets in Hadoop Cluster. Must have knowledge of: mathematical and theoretical modeling, historical back-testing, statistical analysis with statistical inference, data clustering, regression and classification, and machine learning tools including Oracle. Where will you be working? Barclays’ Wilmington campus includes two beautiful buildings located along the historic Wilmington, DE Riverfront. A glance out our windows reveal a scenic look at the Christiana River, along with a growing riverfront community of luxury apartments, shops, and restaurants. Additionally, the Wilmington train station is a short walk away making travel from New York and Washington, DC convenient. Interested and want to know more about Barclays? Visit home.barclays/who-we-are/ for more details. Our Values Everything we do is shaped by the five values of Respect, Integrity, Service, Excellence and Stewardship. Our values inform the foundations of our relationships with customers and clients, but they also shape how we measure and reward the performance of our colleagues. Simply put, success is not just about what you achieve, but about how you achieve it. Our Diversity We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to our vision and goals. 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. 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. Our Benefits Our customers are unique. The same goes for our colleagues. That’s why at Barclays we offer a range of benefits, allowing every colleague to choose the best options for their personal circumstances. These include a competitive salary and pension, health care and all the tools, technology and support to help you become the very best you can be. We are proud of our dynamic working options for colleagues. If you have a need for flexibility then please discuss this with us. This position is eligible for incentives pursuant to Barclays’ Employee Referral Program.