Senior Modeling Lead - Banking

Dallas-Fort Worth Metroplex

**Position: SENIOR MODELING LEAD (Banking)** **YEARS OF EXPERIENCE: 9-10 YEARS** **Location: Plano, TX OR San Antonio, TX** **Position Overview** We are seeking a Senior Modeling Lead to provide strategic and technical oversight across multiple AI/ML workstreams. In this role, you will direct a team of data scientists / modelers through full model development lifecycle, ensure consistency in modeling standards and governance practices, and serve as primary liaison between technical teams and senior stakeholders. Ideal candidate brings 9-10 years of modeling experience and a proven ability to operate effectively at both strategic and technical levels**.** **Key Responsibilities** * Provide strategic and technical leadership across multiple AI/ML modeling workstreams, ensuring alignment with business * Oversee full model lifecycle across all workstreams --- including development, validation, independent assessment, performance optimization, monitoring, documentation, and governance. * Establish and enforce consistent modeling standards, methodology frameworks, explainability practices, and bias testing protocols across team. * Act as a primary escalation point for model risk, governance issues, technical challenges, partnering with risk, compliance as needed. * Lead model review and approval processes, ensuring all models meet internal governance requirements and applicable regulatory standards. * Translate complex modeling outcomes and technical findings into clear, actionable insights for executive and non-technical stakeholders. * Drive evaluation and adoption of emerging AI/ML tools, platforms, and methodologies, providing evidence-based recommendations to leadership. * Recruit, mentor, and develop a high-performing team of senior and mid-level modelers, fostering a culture of technical rigor and continuous improvement. * Define team's long-term analytical roadmap, balancing innovation with BAU delivery. * Collaborate cross-functionally with data engineering, technology, operations, and business teams to align modeling solutions with broader organizational objectives. **Qualifications \& Experience** * 10 years of progressive experience in quantitative modeling, data science, or applied AI/ML, with at least 3 years in a team leadership or senior technical lead capacity. * Broad expertise across multiple modeling domains, such as predictive analytics, NLP, optimization, or AI platform evaluation. * Strong proficiency in Python; familiarity with modern AI/ML frameworks, MLOps tooling, and large-scale data platform. * Deep understanding of end-to-end model lifecycle, including model risk management, validation frameworks, and regulatory expectations. * Proven ability to lead and develop cross-functional modeling teams in a fast-paced, delivery-oriented environment. * Experience engaging with model risk, audit, compliance, or regulatory stakeholders, and navigating governance and approval processes. * Exceptional communication skills \& ability to present complex technical concepts clearly to stakeholders. * Track record of driving adoption of emerging AI/ML technologies in a structured manner. * Advanced degree (Master's or PhD) in Statistics, Computer Science, Mathematics, Data Science, or a related quantitative discipline preferred.