Senior Modeling Lead

Location: Plano, TX and San Antonio, TX What you'll own: Lead the end-to-end model lifecycle (build, validate, monitor, document) across a portfolio of ML and quantitative models Set the modeling playbook — standards, explainability, bias testing — and keep the team accountable to it Be the go-to person when model risk, governance, or regulatory questions come up; work directly with risk/compliance Run model review/approval cycles and make sure everything clears internal and regulatory bars Turn dense technical results into a story execs can act on Scout and vet new AI/ML tools and platforms, then make the case to leadership Hire, coach, and grow a team of modelers — build a culture that values rigor without losing speed Set the team's analytics roadmap, balancing new builds with keeping the lights on Partner closely with data engineering, tech, ops, and business stakeholders What you bring: 9-10+ years building/leading quantitative or AI/ML models, including 3+ years managing a modeling or analytics team within banking Sector. Range across modeling types — predictive analytics, NLP, optimization, or AI platform evaluation Strong Python skills, plus working knowledge of MLOps tooling and large-scale data platforms Solid grasp of model risk management, validation frameworks, and what regulators expect Comfortable owning conversations with audit, compliance, and model risk teams Strong communicator who can flex between technical and executive audiences Master's or PhD in a quantitative field (Stats, CS, Math, Data Science, etc.) preferred Open to candidates who've led model governance and team delivery in a regulated banking setting. #J-18808-Ljbffr Appzlogic