Senior Modeling Lead (AI/ML)

Locations: Plano, TX / San Antonio, TX (Onsite 3 days/week) Needed: Banking / Financial Services Domain Position Overview We are seeking a Senior Modeling Lead to provide strategic and technical oversight across multiple AI/ML workstreams. The ideal candidate will have strong experience in Banking or Financial Services , with expertise in model development, quantitative modeling, model operations/monitoring, and credit risk analytics . The role requires a strong Data Science background, hands‑on proficiency in Python , and experience leading end‑to‑end model development initiatives. Exposure to AI/ML models, model governance, validation frameworks, and stakeholder management is highly preferred. Key Responsibilities Provide strategic and technical leadership across multiple AI/ML modeling workstreams, ensuring alignment with business objectives. Oversee the full model lifecycle, 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. Act as the primary escalation point for model risk, governance issues, and technical challenges while partnering with risk and compliance teams. Lead model review and approval processes, ensuring compliance with internal governance requirements and regulatory standards. Translate complex modeling outcomes and technical findings into actionable insights for executive and non-technical stakeholders. Drive evaluation and adoption of emerging AI/ML tools, platforms, and methodologies. Recruit, mentor, and develop a high-performing team of data scientists and modelers. Define and execute the team's long-term analytical roadmap while balancing innovation and business‑as‑usual delivery. Collaborate with data engineering, technology, operations, and business teams to align modeling solutions with organizational objectives. Required Qualifications 10+ years of progressive experience in quantitative modeling, data science, or applied AI/ML. Minimum 3 years of Team Lead or Senior Technical Lead experience within the Banking domain. Strong hands‑on experience in model development and model monitoring of advanced ML, quantitative, or financial models. Strong proficiency in Python. Experience with modern AI/ML frameworks, MLOps tooling, and large‑scale data platforms. Deep understanding of the end‑to‑end model lifecycle, including model risk management, validation frameworks, and regulatory expectations. Experience engaging with model risk, audit, compliance, and regulatory stakeholders. Excellent communication and stakeholder management skills. Proven ability to lead cross‑functional modeling teams in a fast‑paced, delivery‑oriented environment. Preferred Qualifications Experience with Machine Learning, Generative AI, NLP, call center optimization, and marketing models. Track record of evaluating and implementing emerging AI/ML technologies. Advanced degree (Master’s or PhD) in Statistics, Computer Science, Mathematics, Data Science, or a related quantitative discipline. #J-18808-Ljbffr Infojini Inc