LexisNexis Risk Solutions

1 month ago

Senior Data Scientist II

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Strategic data science leader driving Fraud Prevention Score initiatives across Brazil, LATAM, EMEA, and APAC by designing and deploying production-grade ML models and analytics frameworks that influence product, technology, and business decisions; leads cross-functional collaboration, governance, and Responsible AI alignment to deliver measurable fraud prevention outcomes.

Location: São Paulo

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Lead the design, development, validation, and monitoring of fraud prevention models, machine learning solutions, and analytical frameworks.
•Drive analytical initiatives supporting Fraud Next Generation strategies, aligning data science capabilities with product, technology, and commercial objectives.
•Partner cross-functionally with Product, Technology, Sales, Pre-Sales, Content Acquisition, and Global Analytics teams to deliver scalable business solutions.
•Identify opportunities to enhance fraud detection, entity resolution, identity verification, and data intelligence capabilities.
•Support the expansion of Decision Trust solutions through customized analytics, proof of concepts, customer engagements, and production-ready implementations.

Key Requirements

•Advanced experience in Data Science, Advanced Analytics, Machine Learning, or related quantitative fields.
•Strong background in fraud analytics, digital identity, risk modeling, or financial crime prevention.
•Expertise in predictive modeling, machine learning, statistical analysis, and large-scale data environments.
•Experience developing and deploying analytical solutions in production environments.
•Strong stakeholder management and communication skills, with the ability to influence decision-making across technical and business teams.

Experience:Fraud analyticsDigital identityRisk modelingFinancial crime preventionData science

Skills:Data scienceMachine learningLeadershipCommunicationStakeholder management

Languages:English

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

Website LinkedIn

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LexisNexis Risk Solutions

1 month ago

Senior Data Scientist II

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: São Paulo

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Lead the design, development, validation, and monitoring of fraud prevention models, machine learning solutions, and analytical frameworks.
•Drive analytical initiatives supporting Fraud Next Generation strategies, aligning data science capabilities with product, technology, and commercial objectives.
•Partner cross-functionally with Product, Technology, Sales, Pre-Sales, Content Acquisition, and Global Analytics teams to deliver scalable business solutions.
•Identify opportunities to enhance fraud detection, entity resolution, identity verification, and data intelligence capabilities.
•Support the expansion of Decision Trust solutions through customized analytics, proof of concepts, customer engagements, and production-ready implementations.

Key Requirements

•Advanced experience in Data Science, Advanced Analytics, Machine Learning, or related quantitative fields.
•Strong background in fraud analytics, digital identity, risk modeling, or financial crime prevention.
•Expertise in predictive modeling, machine learning, statistical analysis, and large-scale data environments.
•Experience developing and deploying analytical solutions in production environments.
•Strong stakeholder management and communication skills, with the ability to influence decision-making across technical and business teams.

Experience:Fraud analyticsDigital identityRisk modelingFinancial crime preventionData science

Skills:Data scienceMachine learningLeadershipCommunicationStakeholder management

Languages:English

Company Brief

LexisNexis Risk Solutions

Industry: RegTech

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Public Company

Headquarters: Alpharetta, United States

Website LinkedIn