1

In Modeling Jobs in Texas (NOW HIRING)

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 ...

SENIOR MODELING LEAD

Houston, TX · On-site

$145K - $165K/yr

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 ...

Architecture Modeling Engineer

Austin, TX · On-site

$120K - $225K/yr

We're hiring experienced Architecture Modeling Engineers from junior to senior levels to play a key role in developing the designs that will bring our next-generation AI processors to life. About Us:

We're hiring experienced Architecture Modeling Engineers from junior to senior levels to play a key role in developing the designs that will bring our next-generation AI processors to life. About Us:

Architecture Modeling Engineer

Austin, TX · On-site

$120K - $225K/yr

We're hiring experienced Architecture Modeling Engineers from junior to senior levels to play a key role in developing the designs that will bring our next-generation AI processors to life. About Us:

Water Hydraulic Modeling Intern

Houston, TX · On-site

$16 - $20.75/hr

This intern will gain real-world experience in modeling and planning for water and wastewater systems while working in a fast-paced, professional setting. Join our group of professionals who are ...

Water Hydraulic Modeling Intern

Austin, TX · On-site

$16.50 - $21.50/hr

This intern will gain real-world experience in modeling and planning for water and wastewater systems while working in a fast-paced, professional setting. Join our group of professionals who are ...

Water Hydraulic Modeling Intern

Houston, TX · On-site

$16 - $20.75/hr

This intern will gain real-world experience in modeling and planning for water and wastewater systems while working in a fast-paced, professional setting. Join our group of ...

Water Hydraulic Modeling Intern

Austin, TX · On-site

$16.50 - $21.50/hr

This intern will gain real-world experience in modeling and planning for water and wastewater systems while working in a fast-paced, professional setting. Join our group of ...

... in order to provide expert guidance to the Synchrony Financial functions. * Support regulatory examinations and internal audits of the modeling process and selected models samples. * Provide ...

Will need to efficiently take part in and supervise modeling and documenting the project. WHAT YOU'LL DO: * Work with Family Development Team for the revised standards or for a project's needs.

Will need to efficiently take part in and supervise modeling and documenting the project. WHAT YOU'LL DO: * Work with Family Development Team for the revised standards or for a project's needs.

... in order to provide expert guidance to the Synchrony Financial functions. * Support regulatory examinations and internal audits of the modeling process and selected models samples. * Provide ...

Will need to efficiently take part in and supervise modeling and documenting the project. WHAT YOU'LL DO: * Work with Family Development Team for the revised standards or for a project's needs.

next page

Showing results 1-20

In Modeling information

What is the difference between In Modeling vs Fashion Modeling?

AspectIn ModelingFashion Modeling
Required CredentialsPortfolio, agency representation, sometimes a modeling schoolPortfolio, agency representation, often fashion-specific training
Work EnvironmentPhoto shoots, runway shows, commercial shootsRunway shows, editorial shoots, fashion campaigns
Industry UsageBroadly used in various modeling sectorsPrimarily in fashion industry
Search & Comparison IntentUnderstanding different types of modeling careersFocusing on fashion-specific modeling roles

In Modeling refers to a broad category of modeling careers, including commercial, runway, and promotional work. Fashion Modeling is a specialized subset focused on runway shows, editorial shoots, and fashion campaigns. While both require portfolios and agency representation, fashion modeling often emphasizes industry-specific training and experience. Understanding these differences helps aspiring models choose the right path based on their goals and skills.

What cities in Texas are hiring for In Modeling jobs? Cities in Texas with the most In Modeling job openings:
Infographic showing various In Modeling job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

SENIOR MODELING LEAD

iShare Inc

Houston, TX • On-site

Full-time

Re-posted 19 days ago


Job description

 
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.