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Model Risk Analyst Jobs in Texas (NOW HIRING)

This member of the FP&A team will not only play a key role in identifying and quantifying financial ... Support and provide model development for pricing, valuation, and risk metrics using historical and ...

Support development of risk models, reporting and CTRM/ETRM enhancements. * Maintain relationships ... Strong analytical and quantitative skills. * Experience with VaR, stress testing and market risk ...

Senior Analyst, Risk - Houston, Texas Company Information: Alpha Generation manages and operates ... Support and provide model development for pricing, valuation, and risk metrics using historical and ...

To conduct Cost / Schedule Risk Analysis Workshop sessions, facilitating workshops building bespoke models and interpreting associated outputs for communication / review. * To educate, encourage and ...

Senior Analyst, Risk - Houston, Texas Company Information: Alpha Generation manages and operates ... Support and provide model development for pricing, valuation, and risk metrics using historical and ...

Maintain risk and pricing model inputs covering all the product types. * Work closely with the ... Analyzing complex financial information and reports to provide accurate and timely financial ...

Maintain risk and pricing model inputs covering all the product types. * Work closely with the ... Analyzing complex financial information and reports to provide accurate and timely financial ...

Maintain risk and pricing model inputs covering all the product types. * Work closely with the ... Analyzing complex financial information and reports to provide accurate and timely financial ...

Showing results 21-40

Model Risk Analyst information

See Texas salary details

$14

$37

$61

How much do model risk analyst jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for model risk analyst in Texas is $37.72, according to ZipRecruiter salary data. Most workers in this role earn between $27.79 and $45.91 per hour, depending on experience, location, and employer.

What is a model risk analyst?

A Model Risk Analyst evaluates, validates, and monitors financial models to ensure they function correctly and comply with regulatory standards. They identify potential risks in model assumptions, data quality, and methodologies. Their work helps financial institutions mitigate model-related risks that could lead to inaccurate decision-making. Analysts collaborate with model developers, risk managers, and auditors to improve model performance and documentation. Strong analytical, statistical, and programming skills are essential for this role.

What skills and qualifications are needed to be a model risk analyst?

To thrive as a Model Risk Analyst, you need strong quantitative analysis skills, a background in mathematics, statistics, finance, or a related field, and experience in model validation practices. Familiarity with programming languages such as Python, R, SAS, and tools like Excel, along with knowledge of regulatory requirements such as SR 11-7, is typically essential; certifications like FRM or CFA can be advantageous. Excellent communication, attention to detail, and critical thinking are important soft skills for presenting findings and collaborating with cross-functional teams. Mastery of these skills ensures the integrity and reliability of risk models, supporting sound business decisions and regulatory compliance.

What challenges might a model risk analyst face in their daily work?

Model Risk Analysts often encounter challenges such as ensuring data quality, identifying model limitations, and keeping up with evolving regulatory standards. They must frequently balance the technical rigor needed to validate complex financial models with the need to communicate their findings clearly to stakeholders without a technical background. Additionally, adapting quickly to new modeling methodologies or changing business priorities is common. Overcoming these challenges requires ongoing learning, strong collaboration with model developers, and a proactive approach to risk management.

Do model risk analysts make good money?

Model risk analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions often start around $70,000 annually, with experienced professionals earning over $120,000, especially in financial services and banking sectors. Certifications like CFA or FRM and proficiency in programming tools such as Python or SAS can enhance earning potential.

What does a model risk analyst do?

A model risk analyst evaluates and monitors the risks associated with financial and operational models used by organizations. They review model assumptions, validate model accuracy, and ensure compliance with regulatory standards, often using statistical and analytical tools. Their work helps prevent financial loss and supports decision-making processes.
Infographic showing various Model Risk Analyst job openings in Texas as of September 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, 2% Temporary, and 6% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $78,454 per year, or $37.7 per hour.

Payments Risk Analyst

Westlake, TX

Certegy Payment Solutions, LLC
51 - 200 employees

Full-time

Re-posted 22 days ago


Job description

Role Overview

At Certegy, we enable secure, efficient payment acceptance by combining traditional and real-time risk controls across check, ACH, and emerging payment rails. Our clients range in size from locally owned small businesses to the largest retailers in America, many of which have relied on us for over fifty years to provide check verification and warranty services.

We are seeking a Payments Risk Analyst to help maintain our expertise in the industry.  This role will be responsible for the fraud and risk monitoring of multiple clients, balancing loss mitigation strategies while meeting customer SLAs in a high-volume real-time payments environment. This role requires close collaboration with finance, data science, and product teams, along with the ability to clearly communicate risk insights and performance metrics to both technical and non-technical stakeholders.

 

Key Responsibilities

  • Analyze transactional data for fraud, returns, and loss trends using exploratory data analysis techniques to identify emerging risks and systemic vulnerabilities.
  • Forecast client risk performance and proactively recommend control adjustments based on transactional trends.
  • Collaborate with data science teams to translate data, trends, and other investigative findings, into model enhancements for real-time decisioning strategies.
  • Design, implement, and maintain risk controls to balance loss reduction with transactional acceptance rates and customer experience.
  • Support incident response and escalation for significant fraud events by performing root cause analysis and coordinating with internal teams to mitigate impact.
  • Evaluate strategy performance by tracking key metrics such as fraud loss rates, acceptance rates, and client-specific risk thresholds.
  • Document risk strategies, findings, and outcomes to support operational consistency, audit readiness, and continuous improvement.
  • Partner directly with clients to review fraud trends, explain risk tradeoffs, and recommend best practices tailored to their business models.
  • Develop and maintain executive-level dashboards to communicate performance, trends, and risk exposure to internal leadership and external partners.
 

Skills & Qualifications

  • Strong analytical and problem-solving skills with the ability to identify patterns in large-scale transactional data.
  • Advanced proficiency in Microsoft Excel and working knowledge of data visualization tools (Oracle Analytics Cloud, Power BI, Tableau, or similar).
  • Experience applying statistical analysis techniques to fraud detection, loss analysis, and risk optimization.
  • Excellent written and verbal communication skills, with demonstrated ability to present complex risk concepts to clients, senior leadership, and cross-functional partners.
  • Ability to work independently while managing multiple client risk portfolios in a fast-paced, real-time environment.
  • Payments industry experience in ACH, real-time payments (RTP/FedNow), BNPL, checks, or alternative payment methods strongly preferred.
  • Bachelor’s degree in Mathematics, Statistics, Finance, Economics, or a related quantitative field.
  • 2–3+ years of experience in payments risk, fraud analytics, or financial analysis.
 

Work Environment

Onsite – Westlake, Texas or Clearwater, Florida
U.S. work authorization required (no visa sponsorship available)

Employment Type: FULL_TIME