Senior Fraud Strategist

Remote $116k–$155k senior 1 month ago full-time quality 8.8/10

Role in brief

Gemini, a global crypto platform, seeks a Senior Fraud Strategist to design and implement fraud prevention strategies. This role involves extensive data analysis, collaboration with various teams, and continuous optimization of fraud detection systems. Candidates with strong analytical skills, experience in risk management, and proficiency in SQL and Python should apply to protect users from financial crime.

SQLPythonLookerdata analysisdata visualization

About the role

This role focuses on safeguarding users on a global crypto and Web3 platform by developing and enhancing fraud prevention and detection strategies. The work involves designing procedures, creating fraud rules, and establishing controls to mitigate risks. Success in this position means continuously improving the effectiveness of fraud prevention systems and reducing false positives through data-driven enhancements.

The Senior Fraud Strategist will conduct in-depth data analysis on large datasets to identify new fraud trends and potential vulnerabilities. This requires monitoring system performance and measuring key risk metrics to inform strategy adjustments. The role also involves overseeing projects aimed at advancing fraud detection capabilities and streamlining operational processes within the company.

Collaboration is central to this position, requiring partnerships with data science, risk operations, product, engineering, and customer support teams. The strategist will integrate fraud prevention measures into products and services, ensuring a cohesive approach to security. Clear communication of fraud risk exposure and strategy effectiveness to leadership and stakeholders is also a key responsibility.

The base salary for this role in New York, California, and Washington ranges from $116,250 to $155,000, not including bonuses or equity.

Skills that matter here

  • SQL: Used for advanced analytical tasks on large datasets to identify fraud trends and patterns.
  • Python: Applied in sophisticated data analysis for fraud detection and risk assessment.
  • Looker: Utilized for data analysis and visualization to monitor fraud prevention system performance and communicate insights.
  • data analysis: Essential for identifying emerging fraud trends, patterns, and potential risks from structured and unstructured data.
  • data visualization: Required for developing clear reports and insights for leadership and stakeholders on fraud risk and strategy effectiveness.

Who this role suits

  • A person with a background in fraud strategy or risk management, possessing at least five years of experience.
  • Someone who thrives in ambiguous or rapidly changing environments, making decisions based on data.
  • An individual with strong critical-thinking skills who can remain composed under pressure to resolve complex issues.
  • A collaborative professional capable of leading projects across multiple teams and balancing priorities effectively.

From the employer

Responsibilities

  • Program Development: Design and lead the development of end-to-end fraud prevention and detection strategies, including procedures, fraud rules, and controls.
  • Risk Analysis: Conduct sophisticated data analysis on large datasets (structured and unstructured) to identify emerging fraud trends, patterns, and potential risks.
  • Monitoring & Optimization: Continuously monitor fraud prevention system performance, measure key risk metrics, and implement data-driven enhancements to improve accuracy and reduce false positives.
  • Cross-Functional Collaboration: Partner with data science, risk operations, product, engineering, and customer support teams to integrate fraud prevention into products and services.
  • Project Management: Oversee initiatives aimed at advancing fraud detection systems and optimizing operational processes.
  • Reporting & Communication: Develop and deliver clear, actionable reports and insights for leadership and stakeholders, highlighting fraud risk exposure and the effectiveness of strategies and controls.

Minimum Qualifications

  • 5+ years in fraud strategy, program management, or related risk management roles.
  • Advanced analytical skills with proficiency in SQL, Python, Looker, and other data analysis and visualization tools.
  • Hands-on experience with fraud detection and monitoring platforms, with the ability to analyze data and identify emerging fraud patterns.
  • Strong verbal, written, and interpersonal skills with the ability to convey complex ideas clearly to both technical and non-technical audiences.
  • Track record of working effectively across cross-functional teams (e.g., product, engineering, operations, compliance) to achieve shared goals.
  • Comfortable making sound decisions in ambiguous or rapidly changing environments; skilled at using data to drive informed choices.
  • Demonstrated ability to lead and execute projects spanning multiple teams, balancing priorities and driving results.
  • Strong critical-thinking skills with the ability to stay composed under pressure and resolve complex issues.

It Pays to Work Here

The compensation & benefits package for this role includes:

  • Competitive starting pay
  • A discretionary annual bonus
  • Long-term incentive in the form of a new hire equity grant
  • Comprehensive health plans
  • 401K with company matching
  • Paid Parental Leave
  • Flexible time off

Salary Range: The base salary range for this role is between $116,250 - $155,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

Questions about this role

What is the remote work policy for this position?

This is a fully remote position.

What is the seniority level of this role?

This is a senior-level position.

What technical skills are required for this role?

Proficiency in SQL, Python, Looker, data analysis, and data visualization tools is required.

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Before you apply

  • Legitimate employers never ask you to pay anything to apply or get hired.
  • Never share seed phrases or private keys. No real job needs them.
  • Do not install software ("test tasks", "trading tools", "video call clients") sent during hiring.
  • Check that the application page's domain really belongs to Gemini.