Data Science Risk Analyst

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Employer: HP Inc.
  • Insurances - Financial Intermediaries
  • Accounting - Finance
  • Job type: full-time
    Job level: peste 5 years of experience
  • Updated at: 27.06.2019
    Short company description

    At HP, we believe in the power of ideas. We use ideas to put technology to work for everyone. And we believe that ideas thrive best in a culture of teamwork. That is why everyone - at every level in every function, is encouraged to have original ideas, to express them and to share them. We trust anything can be achieved if you really believe in it, and we will invest in your ideas to change lives and the way people work. This vision is what sets us apart as a company. At HP we work across borders, and without limits. Global virtual teams share resources and pool their big ideas to solve business issues and meet personal goals. Everyone is valued for the unique skills, experiences and perspective they bring. That’s how we work at HP. And this is how ideas and people grow.

    HP is a proven leader in personal systems and printing, delivering innovations that empower people to create, interact, and inspire like never before. We leverage our strong financial position to extend our leadership in traditional markets and invest in exciting new technologies.
    HP has an impressive portfolio and strong innovation pipeline across areas such as:
    • blended reality technology - our unique Sprout by HP will change the way people do things
    • 3D printing
    • multi-function printing
    • Ink in the office
    • tablets, phablets, notebooks
    • mobile workstations

    We’re looking for visionaries who are ready to make an impact on the way the world works. At HP, the future’s yours to create!


    - 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


    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

    Other info

    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)