[Hiring] Manager, Enterprise Risk Management @Brim

Role Description

The Manager, Enterprise Risk Management plays a pivotal role in safeguarding our customers, our brand, and our organization from fraudulent activities across our credit card processing ecosystem. You will lead efforts to monitor, detect, analyze, and investigate fraud-related events while ensuring strong controls and proactive risk mitigation. This role requires superior analytical skills, keen attention to detail, strong knowledge of fraud schemes, and hands-on experience with modern fraud detection tools and platforms.

You will also provide leadership in fraud analytics, partner with cross-functional teams, and design strategies to reduce financial losses while maintaining a frictionless customer experience. A deep understanding of regional fraud trends and emerging modus operandi will be essential for success.

What You’ll Do

• Fraud Monitoring & Detection
  • Continuously monitor credit card and payments transactions for unusual or suspicious activity using advanced fraud detection tools and platforms, including TSYS / Falcon / VRM / PRM etc Fraud Solutions.
  • Configure and optimize fraud detection rules, thresholds, and scoring models to improve detection accuracy and reduce false positives.
  • Conduct real-time and post-transaction analysis to identify potentially fraudulent behaviors.
• Fraud Investigation & Analysis
  • Investigate fraud alerts, queues, and case escalations to determine the legitimacy of flagged transactions.
  • Analyze transaction patterns to identify emerging fraud trends, typologies, and regional modus operandi.
  • Prepare comprehensive investigative reports highlighting findings, financial exposure, and recommended actions.
  • Assist with recovery efforts and support any collections-related activities linked to fraud cases.
• Fraud Prevention Strategy & Governance
  • Develop, implement, and continuously improve fraud prevention strategies, controls, and procedures.
  • Assess the effectiveness of existing fraud risk frameworks and propose enhancements based on analytical insights and industry evolution.
  • Stay updated on the latest developments in fraud trends, technologies, and regulatory requirements within the region.
• Stakeholder Collaboration & Communication
  • Work closely with risk management, customer service, operations, compliance, legal, and technology teams to address and resolve fraud-related issues.
  • Coordinate with external partners, including banks, processors, law enforcement agencies, and fraud networks when necessary.
  • Communicate with customers to verify suspicious transactions and provide guidance on fraud-related concerns or disputes.
• Reporting & Analytics
  • Generate detailed fraud analytics reports highlighting key metrics, trend analyses, incident summaries, and actionable insights.
  • Present findings and recommendations to management and cross-functional stakeholders.
  • Support risk modeling, data mining, and automation initiatives aimed at strengthening fraud detection capabilities.

Qualifications

• Bachelor’s degree in Finance, Criminal Justice, Business Administration, Information Technology, or a related field. A Master’s degree is preferred.
• Minimum of 5+ years of experience in fraud prevention and risk management within the fintech or financial services industry.
• Proven ability to implement effective fraud prevention strategies.
• Advanced knowledge of fraud detection tools and technologies.
• Advanced knowledge of SQL / Python program for data mining.
• Strong analytical and problem-solving skills, excellent communication and interpersonal skills, and the ability to work effectively in a fast-paced environment.

Bonus if You Have

• Relevant certifications such as Certified Fraud Examiner (CFE) or Certified Anti-Money Laundering Specialist (CAMS).
• Experience in card processing and payment systems (e.g., TSYS).

Other Information

• Remote (US/Canada)
• Compensation: CA $80,000-$100,000
• Base salary range: For this role, candidates can expect a base salary range, described in the posting. Actual compensation is determined based on skills, experience, and role level. Exceptional candidates may be considered above the top of the range, and pay can increase quickly for those who make a big impact in the role.