Director, Head of QA Fraud Detection US
New York, NY 
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Posted 1 month ago
Job Description
Director, Head of QA Fraud Detection US (90246964)

Head of QA Fraud Detection US
745 7th Avenue, New York, NY


The QA Fraud Detection team protects Barclays customers and shareholders from the adverse consequences of fraud using predictive models based on machine learning techniques.


These models are key components of Global Fraud Management's fraud prevention strategies and Fraud Detection and are responsible for both developing internal models and the oversight of vendor models. The models are used to predict application and transaction fraud on consumer and wholesale products across all Barclays business units.


The team uses a variety of modeling techniques such as linear regression, random forests and gradient boosted machines, primarily on Hadoop infrastructure with the latest tools and very large sets of data. The team is located in London, New York, Wilmington and Noida. The Head of QA Fraud Detection will lead a team delivering high performing fraud detection machine learning models for use by Global Fraud Management on the Barclays US portfolio.


What will you be doing?

*You will lead a team of Data Scientists developing and managing machine learning models for fraud detection, creating a culture of integrity, excellence and relentless team development and improvement.
*You will be a trusted consultant to Global Fraud Management (GFM) and Technology stakeholders on fraud detection modeling, influencing model related decisions to reach great solutions.
*You will plan and deliver high performing fraud detection models for the BUS portfolio, meeting agreed deadlines and ensuring accurate, efficient implementation of models in production systems.
*You will own the management of live Fraud Detection models delegated from model owners on the BUS portfolio, including annual reviews, performance monitoring reviews, retrains and remediation activity.
*You will enforce adherence to the Barclays Model Risk Governance Framework and regulatory requirements for all models, documented robustly and demonstrated at appropriate committees.
*You will keep abreast of machine learning and fraud detection industry developments, conducting R&D to incorporate best in class modeling methodologies and disseminating learnings to the wider QA team.


What we're looking for:

*A Bachelor's degree in a numerate subject (such as math, statistics, computer science or physics)
*5 years' experience of credit or fraud risk management practices in a Financial Services company, with understanding of model usage, technology and governance.
*5 years' experience developing and implementing predictive machine learning models on large data sets using tools such as R, Python and Spark.
*3 years' experience managing Data Scientists to deliver models, including project planning and relationship building with model owners and other stakeholders.


Skills that will help you in the role:

*Recent experience developing and implementing machine learning models (e.g. Random Forests, Gradient Boosted Machines and Deep Neural Networks) in a financial services company for fraud risk management.
*Ability to take cutting edge data science and machine learning research and translate it into value-adding business projects leveraging the newest algorithms and technology.
*Experience leading Data Scientist teams across multiple locations delivering several concurrent projects.
*PhD or Master's degree in a numerate subject and certificates in Machine Learning courses.


Where will you be working?

Barclays' U.S. headquarters is located at 745 Seventh Avenue in New York, NY. At Barclays, we offer you an engaging and challenging environment, giving you the opportunity to make the most of your unique set of skills. We also have an extensive range of learning and development initiatives designed to support you both personally and professionally. 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. The Whippany campus will play an important role in Barclays' future, bringing together a number of Chief Operating Office (COO) and Functions teams in a single state-of-the-art work environment and will become one of the flagship sites in our global footprint.


Interested and want to know more about Barclays? Visit 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.


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.


Qualifications

 

Job Summary
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Education
Bachelor's Degree
Required Experience
5+ years
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