Fraud and Abuse Operations Lead
At a glance
AI generatedTL;DR
We are seeking a Senior Risk Engineer to join our dynamic and innovative team in San Francisco. This role involves conducting comprehensive risk assessments, developing mitigation strategies, and implementing robust security measures to protect our digital assets. Day-to-day responsibilities include analyzing complex data sets, identifying potential vulnerabilities, and collaborating with cross-functional teams to enhance overall system resilience. The ideal candidate should possess strong data analysis skills, proficiency in Python or R for data manipulation, and experience with cybersecurity frameworks such as NIST or ISO 27001. Familiarity with cloud security tools like AWS IAM and Azure Security Center is highly desirable. This role plays a crucial part in safeguarding our scalable platform against emerging threats, ensuring the integrity and reliability of our services for millions of users worldwide.
Skills
What you'll do
- Analyze complex data sets to identify potential risks.
- Develop risk assessment models using statistical methods.
- Monitor market trends for early risk detection.
- Implement mitigation strategies based on risk assessments.
- Prepare detailed reports on identified risks and recommendations.
What we're looking for
- Minimum 5 years of experience in risk management or related field.
- Proficient in data analysis and statistical tools for risk assessment.
- Strong understanding of regulatory requirements and compliance standards.
- Experience with risk modeling and quantitative analysis techniques.
- Excellent communication and problem-solving skills for stakeholder engagement.
Employer
About Plaid
Plaid is a financial technology company that builds a data network powering digital finance applications, enabling consumers to securely connect their financial accounts to apps and services. Industry: Financial Technology & Data Infrastructure
Plaid currently has 58 open roles on FindRole.
Listed pay typically runs $204,156–$281,196 across 58 roles with salary data.
Most-posted roles
- Account Executive - Fintech Named 4
- Fraud and Abuse Operations Lead 4
- Experienced Engineering Manager, Network Enablement and Access (NEA) 3
- Senior Data Scientist - Credit 3
- Senior Data Scientist - Network Value 3