Senior Manager, Payment Intelligence

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

The Anomaly Detections Platforms (ADP) is a global team tasked with the role of developing data driven fraud detection solutions to identify abnormal transaction trends and work closely with Risk Operations Center (ROC) to support in fraud mitigation.

Essential Functions

This position will support the Anomaly Detection Platforms team drive several of Visa’s most important and high-visibility fraud deterrence projects within Global Risk’s Payment Fraud Disruption (PFD) team. This fast-paced team of technology experts identifies and supports mitigating attacks targeting the global payment ecosystem. Key measures of success for this position include the ability to develop and automate key attack intelligence capabilities that optimize detection of fraudulent anomalies. The primary responsibilities for this role will include:

• Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning, data mining and statistical techniques.
• Develop predictive and prescriptive solutions, leveraging AI/ML and SPC, that monitor and detect various fraud schemes and abnormal transaction activity.
• Lead global team of analytical professionals to write the next chapter of Visa’s fraud detection capabilities. 
• Be an expert at getting to the root of a problem, defining business objectives and formalizing data requirements – especially in a fast paced, fluid environment.
• Develop real-time and batch processed customized monitoring solutions to enable clients take proactive action to fraud threats.
• Analyze complex financial data to uncover patterns, anomalies, and insights that support risk assessment and fraud identification.
• Collaborate with Technology partners to enhance fraud detection capabilities for improved insights and pattern detection.
• Mentor and train other team members on key solutions
• Ability to work on multiple projects and initiatives with different/competing timelines and demands.
• Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems.
• Provide guidance in modern analytic techniques and business applications to unlock the value of Visa’s unique data set, in keeping with market trends, client needs and emerging techniques.

SECONDARY RESPONSIBILITIES:

• Collaborate with Payment Systems Intelligence and Risk Operations Center (ROC) teams to recognize and implement measures to identify and disrupt new fraud and cybercrime threats to the clients enrolled in the Fraud Services program.
• Provide intelligence and technical analysis support to the Global Risk organization to further protect the payment ecosystem.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications

• 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD

Preferred Qualifications

• 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
• Ability to conduct complex analytical functions by performing fraud assessments and analyzing criminal methods.
• Knowledge of transactions, systems processing transactions and overall transaction process.
• Proficiency in Python, SQL and Splunk for data manipulation, analysis, and visualization.
• Extensive experience with data preprocessing, feature engineering, and model optimization for risk and fraud detection.
• Adaptable and able to work well in a fast paced, team-oriented environment.
• 6 years exper