Payment Fraud Data Analyst

Payment Fraud Data AnalystDescription -Business environment: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 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 HP Legal’s Brand Security division.Position Summary:The HP Payment Fraud Data Analyst will assist with HP Fraud Prevention directives to include the risk model, analytics, internal systems, external solutions, and reporting. HP Payment Fraud is a global resource shared by all parts of our business to help them become better managed and control payment risk.Main Responsibilities:Data Analysis and ReportingPerforms data analysis and applies developed data mining techniques to identify suspicious behavior trends, outliers, anomalies and other issues that represent fraud risk, recommends solutions to deter fraud attacks and communicates those trends to designated leadsPerforms ad-hoc investigative and statistical analytics to facilitate risk investigations and assists external stakeholders in their investigation of risk eventsPerform link analysis of known patterns of fraud and anomalies where known patterns are violated to uncover new fraud patternsDevelops operational metrics and benchmarking analysis and comparisons through reporting and trending for designated regional or country fraud prevention, and also daily, weekly and monthly reports, maintains key performance indicators towards global consistency to align to business expectations and business driversRisk and fraud detection modelsAdjusts and maintains fraud detection models to prevent losses on real time on-line customer transactionsApplies developed skills and knowledge in designated regional or country fraud detection models to provide the greatest efficiency and effectiveness balancing PFCC and partner KPI’sOptimizes 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 out sort rules and loss rate in approve rulesAssist in validation of the risk model frequently and in-depth when encountering a fraud attackRun reports to validate the model periodicallyEnsure fraud detection methods offered comply with financial industry security regulations and consumer privacy laws as they relate to the Company's operationsMaintains user access to fraud prevention systems for designated regional or country fraud preventionRecommends system enhancement requests, evaluates new tools, applications and servicesMonitoring operations and industry trendsProvides successful coordination with other Company departmentsAwareness of store policy & procedure changes that might impact the model and adjust accordinglyAwareness of industry trends in any fraud prevention related areas, including new fraud patterns, services, detection tools or any new technologyAnalyse system declined suspected fraud orders, fraud chargebacks and customer reported fraud tracker data regularly and propose adjustments to the risk modelRequirementsPassionate about working with numbers and dataVery Fluent English (oral and written) – 90% plus requiredDegree in statistics, mathematics industrial engineering or related area of study, or equivalent experience preferredRelevant experience in data analytics, and/or statistics, and/or risk modelling, and/or fraud detection, and/or development of technical solutions for fraud prevention preferredStrong proficiency in MS Excel, MS Access, MS PowerPoint requiredPython expertise desiredGood understanding of statistics and a proven background identifying, understanding, solving, and communicating complex problemsRelative understanding of risk mitigation principles & practices preferredGood business writing and verbal communication skillsMust have good interpersonal skills with the ability to work with peers and personnel at all both higher and lower job levelsAbility to work flexible hours including occasional overtime as required Proven ability to deal with ambiguityDemonstrates ability to perform independently and show initiativeProven ability to manage and deliver on multiple tasks and projects that overlapProven 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 candidateJob -FinanceSchedule -Full timeShift -No shift premium (Costa Rica)Travel -Relocation -NoEqual Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement