Alexandra Beljakov

I work as a program and product leader, helping organizations structure, govern, and deliver their data and AI initiatives. My focus is on defining solid use cases, establishing the right data and governance foundations, and coordinating cross-functional teams so new capabilities can move safely and reliably into real operations. Key expertise: • Program & Portfolio Management • Applied AI Use Cases (LLM/RAG) • Product Leadership • Data Governance • Cross-Functional Delivery

HelloReg Regulatory Intelligence Hub I led the end-to-end product direction of a regulatory intelligence platform built for highly regulated environmental markets. The role required combining regulatory complexity, data modeling, AI experimentation, and product delivery into one coherent system — and aligning engineering, AI, and policy experts around it. I defined the product vision, structured the regulatory data architecture, and guided the development of the platform’s first AI-supported analysis engine using LLM/RAG and multi-agent components. I also established the governance, roadmap, and decision framework that allowed the team to move from concept to a validated working prototype. Key expertise: • Product Strategy for Complex, Data-Driven Systems • Applied AI (LLM/RAG prototyping, multi-agent design) • Regulatory Data Architecture & Knowledge Modeling • Cross-Functional Leadership (Engineering · AI · Regulatory) • Program Structure & Delivery Governance • User & Stakeholder Insight for Early Product-Market Fit

I led the risk management stream of a €9M European bank merger, with full responsibility for planning, resourcing, and delivery. My work focused on unifying risk, finance, and operational processes across markets and designing audit-ready systems that met German regulatory standards. I coordinated cross-functional teams to redevelop risk strategy, internal controls, and end-to-end processes, and drove the migration and integration of key risk data domains. This included standardizing data pipelines, harmonizing systems across entities, and ensuring operational readiness for the newly consolidated European bank. Key expertise: • Large-Scale Risk Transformation Programs • Cross-Entity Process & Data Harmonization • Audit-Ready System & Control Design • Data Migration & Integration Across Domains • Multi-Team Coordination & Delivery Leadership

I worked on portfolio-level risk analytics for a €25B asset base, designing data-intensive mathematical models that supported credit and operational risk steering. I built reporting capabilities for internal controls and regulatory compliance and coordinated enterprise-wide stress testing. I also represented the bank in supervisory reviews and internal audits, acting as a counterpart on model and data topics to regulators and external auditors. Key expertise: • Portfolio Risk Modeling & Quantitative Analysis • Data-Intensive Reporting & Control Frameworks • Stress Testing & Regulatory Interaction • Multi-System Data Processing • Model Governance & Audit Preparation

I developed and enhanced the bank’s automated credit decisioning tools, creating data-driven scorecards and quantitative risk models. My work included designing probability-of-default (PD) and loss-given-default (LGD) models to improve portfolio segmentation and strengthen risk assessment accuracy. Key expertise: • Credit Scorecard Development • PD/LGD Modeling • Data-Driven Credit Decisioning • Quantitative Risk Analysis