About the Role
The role involves building machine learning models to uncover financial crime in digital transactions, particularly within blockchain networks. The candidate will analyze large datasets, collaborate with engineering and product teams, and deliver insights that improve risk detection systems.
Responsibilities
- Design and implement machine learning models to detect suspicious financial behavior
- Analyze blockchain transaction data to identify patterns linked to illicit activity
- Collaborate with engineers to integrate models into production systems
- Evaluate model performance using statistical and empirical methods
- Work with compliance teams to align detection strategies with regulatory standards
- Develop data pipelines for processing high-volume transaction data
- Produce clear technical documentation for models and workflows
- Communicate findings to non-technical stakeholders through reports and presentations
- Stay current with trends in cryptocurrency, fraud, and financial crime
- Optimize detection accuracy while minimizing false positives
- Support investigations by providing data-driven insights
- Contribute to the design of monitoring dashboards and alerting systems
- Validate third-party data sources for reliability and coverage
- Participate in peer reviews of analytical methods and code
- Assist in defining metrics for risk exposure and detection efficacy
- Use statistical techniques to assess the significance of transaction anomalies
- Work cross-functionally with legal and policy teams on emerging threats
- Help prioritize data collection efforts based on risk models
- Improve model interpretability for audit and compliance purposes
- Support incident response with rapid data analysis
Nice to Have
- Experience with real-time streaming data architectures
- Prior work in fintech or cryptocurrency companies
- Publications or contributions in data science or security domains
- Hands-on experience with blockchain analysis tools
- Knowledge of privacy-preserving data techniques
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid
Team
Part of the data science team focused on financial crime detection
About Us
- The company builds technology to track and analyze financial activity across blockchains, helping institutions and governments combat fraud, money laundering, and sanctions evasion.
- It combines data science, cryptography, and policy expertise to create transparency in digital finance.
Impact
- Work directly on cases involving ransomware, terrorist financing, and darknet markets.
- Models developed in this role are used by law enforcement and financial regulators worldwide.
