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Senior Modeling Lead

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Houston, Texas

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JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Banking Services, Big Data, Business Transformation, Cloud Computing, Communication Skills, Computer Science, Consulting, Continuous Improvement, Cross-Functional, Data Modeling, Data Science, Documentation, Financial Mathematics, Financial Modeling, Information Technology & Information Systems, Information Technology Consulting, Information/Data Security (InfoSec), Leadership, Machine Tool, Mathematics, Mentoring, Model Review, Natural Language Processing (NLP), Performance Analysis, Performance Tuning/Optimization, Predictive Modeling, Presentation/Verbal Skills, Process Improvement, Product Lifecycle, Python Programming/Scripting Language, Regulations, Regulatory Compliance, Risk, Risk Management Framework (RMF), Risk Modeling, Startup, Statistics, Team Lead/Manager, Technical Leadership, Technical Operations, Technical Presentation, Technical Strategy
LOCATION
Houston, Texas
POSTED
3 days ago
 
Position: SENIOR MODELING LEAD
YEARS OF EXPERIENCE: 9-10+ YEARS
Location: Plano, TX & San Antonio, TX
Salary range: $145k-$165K+12% Incentive & Benefits.
 
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.
 
  1. Relevant Team Lead experience (at least 3 years)in Banking domain
  2. Hands on experience in Model Development, Model Monitoring of advanced ML/quantitative/finance models
  3. Strong proficiency in Python; familiarity with modern AI/ML frameworks, ML-Ops, and large-scale data platforms.
 
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 platforms.
  • 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.




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