Fin

Risk Analyst

Fin

full-time

Posted on:

Location Type: Hybrid

Location: New York City • New York • 🇺🇸 United States

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Salary

💰 $100,000 - $175,000 per year

Job Level

Mid-LevelSenior

Tech Stack

PythonSQL

About the role

  • Develop and implement a comprehensive risk management strategy tailored to the evolving digital asset landscape.
  • Take action to resolve automatically flagged transactions and individuals
  • File suspicious activity reports as required
  • Monitor and analyze transaction data to detect potential fraud, suspicious activities, and emerging risk trends.
  • Utilize advanced data analysis techniques and fraud detection tools to identify anomalies and potential security threats.
  • Create and maintain risk assessment models to evaluate the financial and reputational impact of potential fraud incidents.
  • Partner with the engineering team to design and implement fraud detection systems, leveraging machine learning and predictive analytics.
  • Ensure alignment with regulatory requirements, including AML, KYC, and digital asset regulations.
  • Draft detailed reports and dashboards on risk findings, fraud incidents, and risk mitigation strategies for senior leadership and stakeholders.
  • Lead cross-functional risk assessments for new product launches, ensuring security and fraud prevention measures are integrated into product design.
  • Stay abreast of emerging risks in the digital asset space, including regulatory changes and new fraud tactics.
  • Develop incident response plans for fraud detection and participate in incident response drills to assess and enhance our risk management framework.

Requirements

  • 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, ideally within fintech, digital assets, or blockchain environments.
  • Demonstrated experience with fraud detection systems, transaction monitoring tools, and data analysis platforms (SQL, Python, R).
  • Strong knowledge of digital asset platforms, blockchain technology, and stablecoin ecosystems.
  • Experience with regulatory compliance, particularly regarding AML, KYC, and financial crime prevention.
  • Exceptional analytical and problem-solving skills with a data-driven approach to decision-making.
  • Strong written and verbal communication skills, with the ability to clearly articulate complex risk findings to non-technical stakeholders.
Benefits
  • Offers Equity 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
fraud analysisrisk managementdata analysismachine learningpredictive analyticsSQLPythonRrisk assessment modelstransaction monitoring
Soft skills
analytical skillsproblem-solving skillswritten communicationverbal communicationstakeholder engagement