Data Science Risk Analyst

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:

Data Science Risk Analyst helps develop HP fraud prevention strategies for a designated region to include the risk model rules engine, data analytics, internal or external fraud systems, external solutions, and reporting. Provides data science risk analytics expertise for the fraud detection and prevention of existing businesses. Acts as an expert in the implementation of new businesses or solutions into HP's Payment Gateway solution or equivalent, including, but not limited to, providing data element requirements, solutions guidance, costs associated to tool usage, risk strategy design, and testing. Works directly with IT to drive quick resolution to system issues affecting HP's Fraud systems and solutions. Actively engages in the design, testing, and implementation of Fraud Portal enhancements.

Main Responsibilities:

Data Science Analytics and Reporting

  • Performs data analysis and applies SME level data science techniques to identify suspicious behavior trends, outliers, anomalies and other issues that represent fraud risk
  • 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
  • Prepares and develops daily, weekly and monthly reports

Risk and fraud detection models
  • Detects and defines fraud trends through quantitative data analysis and provides direction on solutions to deter fraud attacks and communicates those trends to designated lead
  • Applies expertise in designated regional or country fraud detection models to provide the greatest efficiency and effectiveness balancing PFCC and partner KPI's
  • Validates and optimizes the fraud risk model
  • Ensures fraud detection methods offered comply with financial industry security regulations and consumer privacy laws as they relate to the Company's operations
  • Oversees user access to fraud prevention systems for designated regional or country fraud prevention

Monitoring operations and industry trends
  • Monitors operations for PCI and cybersecurity compliance
  • Ensures 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
  • Immediate familiarity of industry trends in any fraud prevention related areas, including new fraud patterns, services, detection tools or any new technology
  • Acts as escalation point between the designated regional fraud analyst team and IT
  • Provide guidance and direction on 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
  • Provides expertise in projects affecting PFCC and acts as a leader or key representative of PFCC on internal and external projects
  • Gives guidance on new procedures for manual review and fraud analysis based on current trends
  • Lends insight on methods for screening system approved orders against fraud

  • First level degree in statistics, mathematics, industrial engineering or related area of study, or equivalent experience required, second level degree in relevant area is a plus
  • 5+ years of relevant experience in data science analytics, and/or statistics, and/or risk modeling, and/or fraud detection, and/or development of technical solutions for fraud prevention
  • Relative financial industry experience is a must, understanding of risk mitigation principles & practices
  • Fluent English (oral and written) - C1 level minimum
  • Strong proficiency in MS Excel, MS Access, MS PowerPoint required with analytics software experience a plus
  • Firm understanding of statistics and a proven background identifying, understanding, solving, and communicating complex problems
  • Excellent business writing and verbal communication skills
  • Must have excellent interpersonal skills
  • Ability to work flexible hours including overtime as required
  • Proven ability to manage and deliver on multiple tasks and projects that overlap
  • Self-starter, innovative, creative thinking, real-world achievement, passion with data are highly coveted attributes for successful candidate

Benefits Package
  • Medical services subscription
  • 24 paid holiday days
  • Lunch tickets
  • Other flexible benefits (Medical services for family, Dental Plan, Fitness Programs, Kindergarten)
  • Wellness program, Multisport card and free coffee, tea and fruits
  • Vendors discount program (Restaurants, cinema, clothing, and other)


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