Sr Director - Card Risk Solutions
About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
We're looking for an outstanding leader for our North America Analytics team. Your future team produces industry leading machine learning models and decision systems whose actions protect hundreds of millions of cardholders and accountholders from fraud and financial crime every day across the North America Region. You'll lead an energetic group that thrive on achieving great customer outcomes every day. They are empowered to produce the best results for our customers and motivated by the opportunity to level up the fraud detection systems in the region. As Featurespace continues to grow worldwide, this position will see you significantly grow the high-performing Analytics team during an exciting period of expansion in the region.
Day to Day
Away from leading the team and managing customer delivery work, you'll guide new commercial opportunities towards signature and contribute valuable insight towards the next generation of our fraud and financial crime prevention products. Our ideal candidate has built then deployed machine-learning models and complex data driven systems in fast moving environments, and well versed in the software engineering and ML Ops practices required to achieve this at scale. Beyond the technology, we're looking for someone who is comfortable consulting directly with customers to shape their problems into defined solutions and can gracefully lead and manage a team of managers and individuals.
Qualifications
Basic Qualifications: 10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD
Preferred Qualifications: 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
Majority of your work is related to analytics/ business/ data science
Subject matter expertise in the banking and payments industry
A track record in developing future leaders from within your organisation
Experience managing geographically disperse or remote teams
Ph.D. or other postgraduate level qualification with good mathematical background and knowledge of statistics
Leadership of a talented and high-performing Analytics or Data Science team
Passion for managing people and solving organizational challenges
Willingness to share expertise to help grow the people the people around you
Commitment to satisfying customer's requirements by producing class leading analytics
Experience leading the deployment of machine learning models into high throughput, real-time prediction contexts
Extensive commercial experience implementing statistical models and analytical algorithms in software
Ability to lead system architecture/design discussions from an analytical and business impact perspective
Strong, clear, concise written and verbal communication skills
Ability to manage and prioritise personal workload