Fraud & Risk Analyst — Fintech (ML-Driven)

Talentify; New York (NY); On-site; USD 120,000 - 155,000; Full time

Job summary

Fin is hiring its first Fraud/Risk Analyst to join the Risk & Compliance team. The role focuses on identifying, analyzing, and mitigating risks in digital asset transactions, including AML/KYC compliance, and requires building a fraud detection framework from the ground up.

The ideal candidate has 5+ years in fraud/risk, experience with data analysis tools, and familiarity with fintech/digital assets. Reporting to the CEO, this is a pivotal startup-level role.

Qualifications

• Bachelor's degree in Finance, Economics, Computer Science, Data Science, or related field.
• 5+ years of experience in fraud analysis, risk management, or financial crime prevention.
• Experience with fraud detection systems, transaction monitoring tools, and data analysis platforms (SQL, Python, R).
• Strong knowledge of digital asset platforms, blockchain, and stablecoin ecosystems.

Responsibilities

• Develop and implement a comprehensive risk management strategy tailored to the evolving digital asset landscape.
• Analyze transaction data to detect fraud, anomalies, and emerging risk trends.
• File suspicious activity reports as required by regulations.
• Monitor and analyze data to detect potential fraud and security threats.
• Collaborate with engineering to design and implement fraud detection systems using ML and analytics.
• Ensure alignment with AML, KYC, and digital asset regulations.
• Draft detailed reports and dashboards for senior leadership on risk findings and mitigations.
• Lead cross-functional risk assessments for new product launches and regulatory compliance.

Skills

Fraud analysis

Risk management

Data analysis

Regulatory compliance

Education

Bachelor's degree in Finance, Economics, Computer Science, Data Science, or related field

Tools

SQL

Python

R

Job description

Fin is hiring its first Fraud/Risk Analyst to join the Risk & Compliance team. The role focuses on identifying, analyzing, and mitigating risks in digital asset transactions, including AML/KYC compliance, and requires building a fraud detection framework from the ground up.

The ideal candidate has 5+ years in fraud/risk, experience with data analysis tools, and familiarity with fintech/digital assets. Reporting to the CEO, this is a pivotal startup-level role.