Payment Fraud Data Analyst

Description -

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 Reporting

• Performs 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 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, and also daily, weekly and monthly reports, maintains key performance indicators towards global consistency to align to business expectations and business drivers

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 out sort 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
• 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
• Analyse system declined suspected fraud orders, fraud chargebacks and customer reported fraud tracker data regularly and propose adjustments to the risk model

Requirements

• Passionate about working with numbers and data
• Very Fluent English (oral and written) – 90% plus required
• Degree in statistics, mathematics industrial engineering or related area of study, or equivalent experience preferred
• Relevant experience in data analytics, and/or statistics, and/or risk modelling, and/or fraud detection, and/or development of technical solutions for fraud prevention preferred
• Strong proficiency in MS Excel, MS Access, MS PowerPoint required
• Python expertise desired
• Good understanding of statistics and a proven background identifying, understanding, solving, and communicating complex problems
• Relative understanding of risk mitigation principles & practices preferred
• Good business writing and verbal communication skills
• Must have good 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 occasional 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

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Equal 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