Functional Description
 

Accertify is a wholly owned subsidiary of American Express and a leading provider of fraud prevention, chargeback management, and payment gateway solutions to online merchants spanning diverse industries worldwide.

As part of the Accertify Fraud Decision Sciences team in CFR, the incumbent will be primarily responsible for building and providing industry leading Decision Science Solutions and Data Products for Accertify's clients. Successful solutions will improve the efficiency of Accertify fraud solutions to merchants – more automatic decision and fewer manual review – while maintaining or improving fraud prevention and opening new revenue streams

Key Responsibilities:
 

• Deliver fraud prevention solutions for Accertify’ s clients
• Understand the key drivers / behaviors associated with different types of Fraud
• Being abreast of the latest fraud trends and problems being faced by the industry and Accertify clients
• Drive Modeling innovation: Develop new and enhance existing models by utilizing the best-in-class machine learning / AI techniques
• Elevate Data Science: Perform Feature Engineering using data from clients spanning various industries across the globe to improve model's risk discrimination or improve economics over and above existing framework
• Partner and collaborate with multiple Accertify colleagues to implement models & develop Capabilities that will help in more optimal decision and drive revenue

Critical Factors to Success:

• Business Outcomes: Drive Revenue growth and profitability through advanced analytical techniques; Innovation in use of Modeling Techniques and Variable creation.
• Leadership Outcomes: Put enterprise thinking first - connect the role's agenda to enterprise priorities and balance the needs of customers, partners, colleagues.
• Lead with an external perspective - challenge status quo and bring continuous innovation to our existing offerings while keeping a keen eye on industry/competition
• Build the Best Team - nurture and enhance team's ML/AI skills, data expertise and Consulting skills
• Demonstrate Learning Agility - make decisions quickly with highest level of integrity

Minimum Qualifications:

• 0-3 years with relevant experience in the Analytics/ Modelling/ Decision Science domain
• Postgraduate in Statistics/Mathematics/Economics/ Engineering/Management
• Data Science/Machine Learning/Artificial Intelligence: Gradient Boosting Machines, Deep Learning, Unsupervised Techniques, Decision Trees etc.
• Understanding of Advanced Statistical Techniques and Key model performance metrics ex. Data Correlation; AUC/GINI, Precision, Recall
• Knowledge of R, Python, PySpark, SAS, SQL; Advanced Excel and PowerPoint

Behavioral Skills/Capabilities

• Set the Agenda- Strong quantitative skills with demonstrated ability to lead and perform analysis
• Ability to connect and utilize a wide array of seemingly unstructured data attributes
• Bring Others with You - Building trusting relationships and a strong collaborator with the ability to influence others
• Drives Results - Attention to detail and high-quality execution and ability to manage multiple projects concurrently in an environment of tight deadlines
• Communicate Frequently, Candidly and Clearly
• Make Decisions Quickly & Effectively

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being.