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.
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.
- 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.
Skills Required
- 10+ years of progressive experience in quantitative modeling, data science, or applied AI/ML
- At least 3 years in a team leadership or senior technical lead capacity
- Broad expertise across 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, model risk management, validation frameworks, and regulatory expectations
- Experience engaging with model risk, audit, compliance, or regulatory stakeholders
- Proven ability to lead and develop cross-functional modeling teams in a delivery-oriented environment
- Exceptional communication skills and ability to present complex technical concepts to non-technical 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 related field
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
