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Lead Business Analyst, Fraud Analytics

Blend360 / Artificial Intelligence
Jacksonville, Florida, United StatesUSD60 - USD70 / HOUROn-site
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AI Summary

The Lead Business Analyst will evaluate and compare analytical models to determine their priority for implementation into a production environment. They will manage the end-to-end deployment process, coordinate with cross-functional teams, and communicate model performance findings to stakeholders.

Candidates must have at least 3 years of experience in data science, data modeling, project management, and analytics. Preferred qualifications include specific experience with fraud analytics, payment industry standards, and financial services.

Job Details
Job Type: CONTRACTOR
Visa Sponsorship: No
Salary: USD60 - USD70 / HOUR
Work Arrangement: On-site
Experience Level: 2 - 5 years
Hours: 40 hrs/week
Language: English
Key Skills
Data ScienceData ModelingProject ManagementAnalyticsFraud AnalyticsModel ImplementationModel DeploymentModel EvaluationStakeholder CommunicationRequirements ManagementRisk AssessmentFinancial ServicesPayments IndustryData Analysis
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Company Description

Blend is a data, analytics, and AI services company that helps organizations solve complex business problems through strategy, technology, and specialized talent. We connect experienced professionals with meaningful projects at leading companies across a range of industries.

Job Description

We are seeking a Lead Business Analyst preferrably with Fraud Analytics experience to evaluate analytical models and coordinate their implementation into a production environment. This person will assess model performance, compare available models, help determine which models should be prioritized, and manage the work required to deploy them successfully.

This role combines data science, data modeling, project management, and analytics. It is not focused exclusively on building models from scratch or writing production code.

Responsibilities

  • Evaluate analytical models and assess their performance.
  • Compare models and help determine which should be prioritized for implementation.
  • Coordinate model implementation and deployment activities.
  • Manage timelines, requirements, deliverables, dependencies, and project progress.
  • Work with data science, modeling, technology, and business teams.
  • Analyze model results and translate findings into clear recommendations.
  • Track model performance before and after implementation.
  • Identify implementation issues and coordinate their resolution.
  • Prepare reports and communicate findings to stakeholders.

Qualifications

Required Qualifications

  • 3+ years of Data Science experience.
  • 3+ years of Data Modeling experience involving model implementation, deployment, and evaluation.
  • 3+ years of Project Management experience.
  • 3+ years of Analytics experience.

Preferred Qualifications

  • Experience with fraud analytics or fraud models.
  • Experience building or deploying fraud detection rules.
  • Payments or card-industry experience.
  • Familiarity with Mastercard products or models.
  • Financial services experience.
  • Experience with card-network mandates and issuer-side implementation.

Additional Information

This role does not offer sponsorship, visa transfers, or C2C arrangements now or at anytime in the future. 

  • Compensation: USD 60 - USD 70 - hourly
  • About Blend

    Blend is a leading AI services provider that empowers clients by merging data science, technology, and human expertise to drive innovation and impactful solutions.

    Artificial Intelligence
    1,032 employees
    Columbia, Maryland
    Most staff in USA
    $100M raised
    Employee ratings
    From Glassdoor · 360 reviews · View profile
    Diversity & inclusion4.3
    Culture & values4.2
    Career opportunities4.2
    Senior management4.1
    Work–life balance4.0
    Compensation & benefits3.8
    82%
    would recommend to a friend
    76%
    positive business outlook
    Categories
    Data GovernanceData IntegrationConsultingData ManagementProfessional ServicesBusiness Intelligence
    Specialties
    Digital TalentTechnologyArtificial IntelligenceData ScienceData ScienceData Engineeringand Business Intelligence