Job Information
HP Inc. Data Risk Analyst in Bucharest, Romania
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 Protection division.
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
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).