HP Inc. is a fortune 100 company, the market leader in commercial personal systems and printing, driving innovation that empowers people to create, interact, and inspire like never before.

HP Payment Fraud, Credit, and Collections (PFCC) is a global resource shared by all parts of our business to help them become better managed and control payment risk. We are a valued advisor and business partner while influencing and ensuring fiduciary control and delivering payment risk management excellence within Treasury and Finance.

Position Summary:

Assists with HP Fraud Prevention directives to include the risk model, analytics, internal systems, external solutions, and reporting. Provides data analytics support for the fraud detection and prevention of existing business. Supports implementation of new businesses or solutions into HP’s Payment Gateway solution or equivalent. Responsible for assisting in all enhancements for HP’s Fraud systems and solutions. Works directly with IT to drive quick resolution to system issues affecting HP’s Fraud system and solutions.  Actively engages in the research, testing, and implementation of Fraud systems and solutions enhancements. 

Knowledge:

Applies developed subject matter knowledge to solve common and complex business issues within established guidelines and recommends appropriate alternatives.

Complexity and scope:

Works on problems of diverse complexity and scope. May act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process. Exercises independent judgment within generally defined policies and practices to identify and select a solution.

Supervision:

Ability to handle most unique situations. May seek advice to make decisions on complex business issues.

Main Responsibilities:

Data Analysis and Reporting

• Performs data analysis and applies developed data mining techniques to identify suspicious behavior trends, outliers, anomalies and other issues that represent fraud risk
• Detects and defines fraud trends through quantitative data analysis and recommends solutions to deter fraud attacks and communicates those trends to designated leads
• Performs ad-hoc investigative and statistical analytics to facilitate risk investigations and assists external stakeholders in their investigation of risk events
• Perform link analysis of known patterns of fraud and anomalies where known patterns are violated to uncover new fraud patterns
• Develops operational metrics and benchmarking analysis and comparisons through reporting and trending for designated regional or country fraud prevention
• Prepares and develops daily, weekly and monthly reports, maintains key performance indicators towards global consistency to align to business expectations and business drivers
• Analyzes performance and results and their underlying causes and recommends solutions to ensure goal attainment

Risk and fraud detection models

• Adjusts and maintains fraud detection models to prevent losses on real time on-line customer transactions
• Applies developed skills and knowledge in designated regional or country fraud detection models to provide the greatest efficiency and effectiveness balancing PFCC and partner KPI’s
• Optimizes the fraud risk model by removing rules with low loss rate but keeping the structure to ensure that fraud attempts can be quickly identified; improves decline rate in outsort rules and loss rate in approve rules
• Assist in validation of the risk model frequently and in-depth when encountering a fraud attack
• Run reports to validate the model periodically
• Ensure fraud detection methods offered comply with financial industry security regulations and consumer privacy laws as they relate to the Company's operations
• Maintains user access to fraud prevention systems for designated regional or country fraud prevention
• Recommends system enhancement requests, evaluates new tools, applications and services

Monitoring operations and industry trends

• Provides successful coordination with other Company departments, including Sales Operations, AR, OM, and Call Centers to ensure efforts are effective, successful and reflect the Company's strategy
• Awareness of store policy & procedure changes that might impact the model and adjust accordingly
• Awareness of industry trends in any fraud prevention related areas, including new fraud patterns, services, detection tools or any new technology
• Analyze system declined suspected fraud orders, fraud chargebacks and customer reported fraud tracker data regularly and propose adjustments to the risk model

Projects and Process Improvement

• Participates in projects as an engaged team member and takes responsibility for assigned tasks
• Communicates with stakeholders within PFCC to solve problems
• Recommends new procedures for fraud analysis based on current trends
• Recommends process changes and system updates to ensure attaining operational goals
• Recommends approaches for screening system approved orders against fraud 

Miscellaneous

• Takes over the essential responsibilities of other team members (back-up) when necessary
• Shares experience and relevant information regarding work procedures with team members
• Participates in trainings, holds and participates in presentations and reviews

Qualifications:

• Very Fluent English (oral and written) – 90% plus required
• First level degree in statistics, mathematics industrial engineering or related area of study, or equivalent experience required
• Relevant experience in data analytics, and/or statistics, and/or risk modeling, and/or fraud detection, and/or development of technical solutions for fraud prevention required
• Strong proficiency in MS Excel, MS Access, MS PowerPoint required
• Firm understanding of statistics and a proven background identifying, understanding, solving, and communicating complex problems
• Relative financial industry experience and understanding of risk mitigation principles & practices preferred
• Excellent business writing and verbal communication skills
• Must have excellent interpersonal skills with the ability to work with peers and personnel at all both higher and lower job levels
• Ability to work flexible hours including overtime as required 
• Proven ability to deal with ambiguity
• Demonstrates ability to perform independently and show initiative
• Proven ability to manage and deliver on multiple tasks and projects that overlap
• Proven ability to manage and deliver multiple tasks and projects in a fast, paced and changing environment 
• Self-starter, innovative, creative thinking, real-world achievement, passion with data are highly coveted attributes for successful candidate