Data Analyst I

LexisNexis Risk Solutions
Mumbai, Chennai
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Attention to detail","Observational skills","Accuracy","Communication"]

Support the development of secure and fair identity verification systems by annotating and validating datasets used for document fraud detection, deepfake detection, presentation attack detection (PAD), and face recognition. Label document elements, flag tampering, apply liveness/spoof tags, and draw bounding boxes and landmarks. Maintain quality by reviewing peer annotations, documenting edge cases, and collaborating with ML engineers and data scientists to improve dataset quality and tools.

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FursaFursa
LexisNexis Risk Solutions
LexisNexis Risk Solutions
1 month ago

Data Analyst I

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 days agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Support the development of secure and fair identity verification systems by annotating and validating datasets used for document fraud detection, deepfake detection, presentation attack detection (PAD), and face recognition. Label document elements, flag tampering, apply liveness/spoof tags, and draw bounding boxes and landmarks. Maintain quality by reviewing peer annotations, documenting edge cases, and collaborating with ML engineers and data scientists to improve dataset quality and tools.
Location: Mumbai, Chennai
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Entry level

Key Responsibilities

  • •Annotate data across multiple formats (documents, images, video, audio) following project guidelines.
  • •Identify and label document elements and flag potential tampering.
  • •Annotate deepfake/image tamper regions and tag liveness indicators and spoof artifacts for PAD datasets.
  • •Create face recognition annotations including bounding boxes, facial landmarks, and expression labels; apply time-based frame-level labels in video.
  • •Review peer annotations for consistency, ensure quality standards, document edge cases, and collaborate with ML engineers/data scientists to improve datasets and tools.

Key Requirements

  • •Attention to detail and strong observational skills.
  • •Ability to focus on repetitive tasks while maintaining accuracy.
  • •Basic understanding of computer vision/ML concepts (training provided).
  • •Comfortable using web-based annotation tools (training provided).
  • •Clear written and verbal communication skills to describe edge cases.
Skills:Attention to detailObservational skillsAccuracyCommunication

Company Brief

LexisNexis Risk Solutions
Provides data, analytics, and technology solutions to help businesses manage risk, detect fraud, comply with regulations, and make decisions across insurance, financial services, government, and commercial sectors.
Industry: RegTech
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Public Company
Headquarters: Alpharetta, United States
WebsiteLinkedIn