X AI

3 months ago

Senior Data Analyst- Fraud & AML

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Senior Data Analyst will design, build, and optimize AML/fraud transaction monitoring models and coverage frameworks, develop dashboards and reporting for executives and regulators, and drive cross-functional improvements in compliance analytics across multiple products and jurisdictions. The role supports regulatory examinations and utilizes Python and SQL to translate complex regulatory requirements into scalable data solutions.

Location: New York, Palo Alto

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Design, develop, and enhance AML and fraud models, rules, and heuristics using Python, SQL, and AI-enabled tooling; partner with the Compliance Machine Learning team on model reviews to improve detection rates and reduce false positives.
•Build and maintain interactive performance dashboards and automated reporting solutions that track key risk, productivity, and capacity metrics for senior leadership and regulators.
•Architect and implement enterprise-wide Transaction Monitoring Coverage Assessment frameworks, including standardized methodologies for gap identification, root-cause analysis, remediation planning, and ongoing sustainability monitoring.
•Lead complex data initiatives, including extraction of SAR filing metrics with product-level breakdowns and development of jurisdiction- and typology-specific SAR narrative generator tools.
•Embed data science best practices into product launches and feature rollouts to proactively identify and close monitoring coverage gaps.

Pay and Benefits

Salary: USD 148,000 - 220,000 annually

Equity and Bonus:Equity

Perks:MedicalVisionDental401kDisabilityLife InsuranceEquity

Key Requirements

•7+ years of hands-on data science / advanced analytics experience in financial services, with at least 4 years focused on fraud and financial crime compliance
•Master’s degree (or higher) in Applied Mathematics, Statistics, Data Science, Actuarial Science, or a related quantitative field
•Proven track record of building and optimizing transaction monitoring models, coverage frameworks, or compliance analytics programs in a regulated environment (fintech, bank, or payment company preferred)
•Deep understanding of BSA/AML regulations, suspicious activity reporting, customer due diligence, sanctions screening, and model risk management principles
•Certified Anti-Money Laundering Specialist (CAMS) or equivalent compliance certification is strongly preferred

Experience:FintechFinancial servicesFraudAML

Education:Master's in Applied Mathematics, Statistics, Data Science

Skills:CommunicationPrioritizationProblem-solvingStakeholder management

Certifications:CAMS

Languages:English

Tech Stack:PythonSQLMachine LearningDashboarding

Company Brief

X AI

Develops advanced artificial intelligence models and research aimed at building safe, general AI and understanding the fundamental nature of the universe. Focuses on large-scale AI systems, research publications, and building foundational AI capabilities.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Headquarters: San Francisco, United States

Founded: 2023

Website

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X AI

3 months ago

Senior Data Analyst- Fraud & AML

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: New York, Palo Alto

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Design, develop, and enhance AML and fraud models, rules, and heuristics using Python, SQL, and AI-enabled tooling; partner with the Compliance Machine Learning team on model reviews to improve detection rates and reduce false positives.
•Build and maintain interactive performance dashboards and automated reporting solutions that track key risk, productivity, and capacity metrics for senior leadership and regulators.
•Architect and implement enterprise-wide Transaction Monitoring Coverage Assessment frameworks, including standardized methodologies for gap identification, root-cause analysis, remediation planning, and ongoing sustainability monitoring.
•Lead complex data initiatives, including extraction of SAR filing metrics with product-level breakdowns and development of jurisdiction- and typology-specific SAR narrative generator tools.
•Embed data science best practices into product launches and feature rollouts to proactively identify and close monitoring coverage gaps.

Pay and Benefits

Salary: USD 148,000 - 220,000 annually

Equity and Bonus:Equity

Perks:MedicalVisionDental401kDisabilityLife InsuranceEquity

Key Requirements

•7+ years of hands-on data science / advanced analytics experience in financial services, with at least 4 years focused on fraud and financial crime compliance
•Master’s degree (or higher) in Applied Mathematics, Statistics, Data Science, Actuarial Science, or a related quantitative field
•Proven track record of building and optimizing transaction monitoring models, coverage frameworks, or compliance analytics programs in a regulated environment (fintech, bank, or payment company preferred)
•Deep understanding of BSA/AML regulations, suspicious activity reporting, customer due diligence, sanctions screening, and model risk management principles
•Certified Anti-Money Laundering Specialist (CAMS) or equivalent compliance certification is strongly preferred

Experience:FintechFinancial servicesFraudAML

Education:Master's in Applied Mathematics, Statistics, Data Science

Skills:CommunicationPrioritizationProblem-solvingStakeholder management

Certifications:CAMS

Languages:English

Tech Stack:PythonSQLMachine LearningDashboarding

Company Brief

X AI

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Headquarters: San Francisco, United States

Founded: 2023

Website