Risk Analyst Specialist - Risk Intelligence
Global Payments Inc. · Atlanta, GA · 1 mo ago
FinanceFull-time
About the role
Make your mark at one of the biggest names in payments. Join the Commercial Risk team and help shape the future of global commerce.
Responsibilities
- Provide decision support for new verticals/markets/partners with clear guardrails to enable responsible revenue growth.
- Identify process bottlenecks; implement automation and policy simplification to reduce friction and improve time-to-decision.
- Ensure strategic objectives of the Commercial Risk Management program are met, including execution of risk assessment activities, coordination of risk response, and program testing and validation, augmented by AI-driven analytics and automation where appropriate.
- Lead the integration of AI solutions into risk operations to improve detection, triage, and prevention (e.g., anomaly detection, segmentation, scoring models), with clear performance baselines, target outcomes, and governance.
- Review significant events and loss drivers; advise business owners on remediation and preventive controls, including opportunities for AI-enabled root-cause analysis, early-warning indicators, and predictive risk signals.
- Perform risk assessments across Data Protection, Supplier Management, and Enterprise Risk Management programs; identify potential issues, control gaps, data quality risks, model risks, and process efficiencies, leveraging advanced analytics and AI-assisted testing where applicable.
- Document risk analyses and controls; evaluate control design and drive continuous control improvement, including the use of AI/ML-enabled control monitoring and continuous control testing.
- Track, coordinate, and resolve issues identified in control, compliance, audit, or risk work; implement dashboards and alerts for ongoing AI model and process performance monitoring.
- Develop and maintain knowledge of regulatory requirements, with emphasis on emerging AI/ML regulations, standards, and guidance relevant to financial services and payments (e.g., model risk management, data governance, AI ethics).
- Produce executive-ready reporting that supports decision making and future investment cases, including business cases, ROI analyses, and total cost of ownership for AI and data capabilities.
- Provide training and change management to upskill staff on AI-enabled risk practices, tools, and responsible AI principles.
- Other related duties as needed.
Requirements
- Strong analytical, organizational, and communication skills; excellent interpersonal skills with the ability to influence across functions and levels.
- Proven experience translating risk problems into data/AI solutions and turning insights into operationalized controls or workflows.
- Understanding of model risk management, responsible AI, data governance, privacy, and security practices in a regulated environment.
- Experience with risk analytics, KPI/KRI frameworks, dashboarding, and experimentation to quantify impact and efficiency.
- Project-oriented and able to manage multiple complex initiatives; may require overtime at critical times.
- Ability to establish and maintain effective working relationships with employees, vendors, clients, and regulators.
Qualifications
- Familiarity with AI/ML concepts and lifecycle (problem framing, data sourcing, feature engineering, model training/validation, monitoring, drift detection, and retraining).
- Tools exposure: data visualization (e.g., Power BI/Tableau), query languages (SQL), and collaboration with data scientists/engineers on Python/ML workflows; experience with case management and alerting platforms is a plus.
Benefits
Our inclusive and global teams win together every day. We're proud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections – it's unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.
Pay
Details on pay will be communicated during the interview process.
Schedule
The schedule for this role will be discussed during the interview process.