HP

Fraud Detection Data Analyst (BB-F024D)

Encontrado en: Neuvoo CR

Descripción:

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

    • calendar_todayhace 13 horas

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    location_onHeredia, Costa Rica

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