Risk Analyst Specialist - Risk Intelligence

Worldpay•Cincinnati, OH

About The Position

Ready to take your career global? Make your mark at one of the biggest names in payments. We’re looking for a Risk Analyst Specialist to join our ever evolving Commercial Risk team and help shape the future of global commerce. As a Risk Analyst on the Commercial Risk Team with a focus on Risk Intelligence, you’ll work on the cutting edge of risk management with the largest FinTech company in the world. While using your advanced technical skills to protect Worldpay from threats, you will partner with business leaders to identify risks, evaluate the effectiveness of controls, and promote continuous improvement.

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.

Nice To Haves

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.

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.
Participate in and often lead cross-functional projects to mitigate risks, generating actionable remediation plans and embedding AI-enabled monitoring to sustain risk reduction.
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.