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Senior Modeling Jobs in Dallas, TX (NOW HIRING)

Orion180

Sr Predictive Modeling Scientist

Irving, TX · On-site

JOIN OUR TEAM AS A SENIOR PREDICTIVE MODELING SCIENTIST At Orion180, we believe the future of insurance belongs to organizations that can transform data into a deeper understanding of risk.

Embtel Inc

Sr Data Modeler

Dallas, TX · On-site

The job details are given below - &geoId=92000000 Job Title: Sr Data Modeler Role: Dallas, USA ... Define and govern data modeling and design standards, tools, best practices, and related ...

AAA

Senior Actuarial Predictive Modeler

Coppell, TX · On-site

Senior Actuarial Predictive Modeler The Senior Actuarial Predictive Modeler creates predictive ... Actively work on personal development, including enhancing modeling prowess and/or working towards ...

AAA

Senior Actuarial Predictive Modeler

Coppell, TX · On-site

Senior Actuarial Predictive Modeler The Senior Actuarial Predictive Modeler creates predictive ... Actively work on personal development, including enhancing modeling prowess and/or working towards ...

sydata

Sr Data Modeler

Irving, TX · On-site

Role: Sr Data Modeler Location: Dallas/Irving Area, TX Duration: 6+ Months Minimum 8 -10 years ... in Database and Data Modeling Minimum 4 years of experience in No SQL DB Minimum 2 years ...

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All JobsModeling JobsSenior Modeling JobsSenior Modeling Jobs in Dallas, TX

Senior Modeling information

See Dallas, TX salary details

$24.7K

$79.4K

$161.7K

How much do senior modeling jobs pay per year?

As of Aug 13, 2026, the average yearly pay for senior modeling in Dallas, TX is $79,423.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,100.00 and $101,900.00 per year, depending on experience, location, and employer.

What are some common challenges senior modelers face when working on complex projects, and how can they be addressed?

Senior Modeling professionals often encounter challenges such as integrating large and diverse datasets, ensuring model accuracy, and effectively communicating technical findings to non-technical stakeholders. Addressing these challenges requires strong collaboration with data engineers, subject matter experts, and decision-makers, as well as a commitment to continuous learning and validation of models. Utilizing robust model validation techniques, staying updated on industry best practices, and fostering open communication within cross-functional teams can help overcome these hurdles and drive project success.

What is the difference between Senior Modeling vs Data Analyst?

AspectSenior ModelingData Analyst
Required CredentialsBachelor's or Master's in Mathematics, Statistics, or related field; experience with modeling softwareBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentFinancial institutions, consulting firms, or tech companies focusing on predictive modelsBusiness, marketing, or operations teams analyzing data sets
Employer & Industry UsageUsed in finance, insurance, and tech for predictive modelingCommon across industries for data interpretation and reporting

Senior Modeling professionals focus on developing complex predictive models and algorithms, often requiring advanced quantitative skills. Data Analysts interpret data, generate reports, and support decision-making. While both roles work with data, Senior Modeling emphasizes model creation and validation, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as a senior modeler?

To thrive as a Senior Modeler, you need advanced expertise in quantitative analysis, statistical modeling, and a relevant degree in mathematics, statistics, finance, or a related field. Mastery of tools such as Python, R, SAS, and familiarity with data visualization and modeling software are typically required, along with certifications like FRM or CFA being advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are crucial for developing accurate models, interpreting complex data, and providing actionable insights to guide business or research decisions.

What is a senior modeler?

Senior Modeling professionals are experts who create, manage, and analyze complex mathematical, statistical, or computational models to solve business or scientific problems. They often work in industries like finance, engineering, data science, and environmental science, using advanced modeling techniques to forecast outcomes, optimize processes, or simulate scenarios. These professionals typically have extensive experience and may also lead teams, mentor junior staff, and contribute to strategy development within their organizations.
What are the most commonly searched types of Modeling jobs in Dallas, TX? The most popular types of Modeling jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Senior Modeling jobs? Cities near Dallas, TX with the most Senior Modeling job openings:
Senior Modeling jobs near you
Infographic showing various Senior Modeling job openings in Dallas, TX 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, with an average salary of $79,423 per year, or $38.2 per hour.

Senior Modeling Lead - Banking

Inizio Partners

Dallas, TX • On-site

Full-time

Re-posted 24 days ago

Job description

Position: SENIOR MODELING LEAD

YEARS OF EXPERIENCE: 9-10+ YEARS

Location: Plano, TX & 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 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.