Matrix USA

AI may be changing how we work. It’s not changing how we hire. We’re growing our teams and looking for talented people who want to build what’s next with us. And while the tools may be getting smarter, our hiring process stays human, transparent, and secure. Check out our career job openings: https://loom.ly/4Slci8w #Hiring #JoinOurTeam

Bringing together the expertise of a stellar team that work with financial institutions to navigate evolving model risk management requirements. Our advisory experts share insights on SR 26-02, what has changed and how financial institutions can operationalize a more judgment-based approach to model risk management. Read more>>https://lnkd.in/ewDGw_q8 Yury Sofman | Omesh Bhatt, CAMS® | Vishal Tyagi, CAMS | Ekta Kesaria | Syeda Ali #SR2602 #FinancialServices #RiskManagement #Banking #RegulatoryRisk

Enterprise data modernization isn't only about moving platforms. It's about creating a foundation that scales. Great webinar with Katy Moore and Tzur Turkenitz. They shared learnings from delivering large enterprise organizations modernize legacy reporting environments: 💎 What it takes to build a trusted data foundation 💎 Governed architectures and reusable data models 💎Practical delivery approaches that reduce risk and accelerate future initiatives Thank you to everyone who joined the discussion and shared their perspectives! Missed the conversation? Let's continue it over coffee. #DataModernization #DataStrategy #EnterpriseData #DataGovernance

Introducing the Enterprise Regulatory Response Framework. Our proprietary approach to large-scale remediation without losing sight of strategic priorities. When a bank receives a major regulatory enforcement action, everything changes. Attention and budgets shift from growth to remediation, all while continuing to run the bank and demonstrate measurable progress to regulators. Swipe through to learn how our framework strengthens enterprise visibility, governance, execution, evidence, and regulatory confidence.

Large Scale remediation programs can be more difficult to manage as they grow in scale. Regulatory confidence is built when an institution can demonstrate that its' remediation program is effective with clear ownership, timely decisions, coordinated execution, active management, and traceability from regulatory findings through validation and closure. Our Enterprise Regulatory Response Framework brings together capabilities that transform regulatory remediation from a collection of workstreams into a coordinated enterprise execution program. Read our new white paper by Yury Sofman, Vishal Tyagi, CAMS, Naveen Varma Datla, CAMS and Amit Kabra on how financial institutions can move from reactive stabilization to disciplined execution and sustainable regulatory readiness. 🔗 https://lnkd.in/eMy8DZEw #RegulatoryRemediation #RiskManagement #Compliance #Banking

Model Risk Management is entering a new phase. It moves beyond traditional model governance toward a broader, more dynamic focus on materiality, outcomes, applications, and enterprise-wide risk. In this video, Ekta Kesaria shares the key takeaways on how SR 26-02 reshapes the model risk management landscape and what financial institutions should consider as they adapt to this evolving framework. #ModelRiskManagement #Banking #RegulatoryRisk #ModelGovernance

"Can you tell me where this data came from, how it was transformed, and where it's being used?" For many organizations, finding these answers takes days of tracing databases, pipelines, business rules, and reports. Our Data Lineage AI Accelerator automatically maps how data moves across the enterprise, giving visibility in minutes. The result? • Greater confidence in AI and analytics • Stronger data governance • Reduced change risk • Trusted, AI-ready data

The checklist is gone but the accountability isn't. SR 26-02 shifts model risk management from prescriptive rules to defensible, risk-based decisions. For financial institutions, it means operationalizing this shift through governance, validation, and AI oversight that can withstand regulatory scrutiny. That's why we've published a new white paper: The Evolution of Model Risk Management Guidelines by Syeda Ali, Ekta Kesaria, Omesh Bhatt, CAMS® , Vishal Tyagi, CAMS, Yury Sofman. Read what's changed, what it means for banks, and practical steps to prepare for SR 26-02. ➡️https://loom.ly/z0RbhwU

The biggest opportunity for AI in compliance is redesigning how work flows between people, systems, and AI. Agentic AI can sit across existing systems to reduce manual work, accelerate investigations, and improve consistency without disrupting governance or replacing your system of record. Asaf Adri shares how we turn operational bottlenecks into opportunities.

This week we're joining #CDOIQ2026 in Boston to talk about data quality, governance, AI readiness, and regulatory resilience. Meet our experts: Shir Ben-Shushan – Data & AI Jorge Veron – Financial Crime We'll be sharing perspectives on building trusted data foundations that help organizations accelerate #AIadoption while meeting regulatory expectations. Because AI is only as powerful as the data behind it.