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Model Risk Analyst Jobs in Arkansas (NOW HIRING)

Simmons Bank

Credit Risk Analyst II

Little Rock, AR

Conduct comprehensive root cause analyses onloandata toidentifydrivers behindchanges in risk ... Perform reconciliations and data validation between the general ledger, source systems, models, and ...

Simmons Bank

Credit Risk Analyst II

Little Rock, AR · On-site

Conduct comprehensive root cause analyses on loan data to identify drivers behind changes in risk ... Perform reconciliations and data validation between the general ledger, source systems, models, and ...

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$12

$33

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How much do model risk analyst jobs pay per hour?

As of May 29, 2026, the average hourly pay for model risk analyst in Arkansas is $33.48, according to ZipRecruiter salary data. Most workers in this role earn between $24.66 and $40.77 per hour, depending on experience, location, and employer.

What is a Model Risk Analyst job?

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 are the key skills and qualifications needed to thrive in the Model Risk Analyst position, and why are they important?

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 are some typical challenges a Model Risk Analyst might 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.

How much do risk analysts get paid?

Risk analysts typically earn a median annual salary of around $70,000 to $90,000, depending on experience, industry, and location. Model risk analysts, a specialized role, often have salaries in this range but may earn more with advanced certifications or in financial sectors. Entry-level positions usually start lower, while senior roles can exceed $100,000 annually.
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Model Risk Analyst jobs near you
Infographic showing various Model Risk Analyst job openings in Arkansas as of May 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 66% Physical, 10% Hybrid, and 24% Remote job distribution, with an average salary of $69,633 per year, or $33.5 per hour.
Credit Risk Analyst II

Credit Risk Analyst II

Simmons Bank

Little Rock, AR

Full-time

Posted 27 days ago

Simmons Bank rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

80th of 141 rated banks

Job description

It's fun to work in a company where people truly BELIEVE in what they're doing!

We're committed to bringing passion and customer focus to the business.

**Onsite Requirement: Little Rock, AR (in-office full time)**

We areseekinga highly analytical, intellectually curious Data Analytics professional who thrives on uncovering the "why" behind complex problems.This position plays a key role in the department's goal ofidentifyingand measuring risk by using analytical tools to find anomalies, trends,and gaps in the bank's dual risk ratingsystem.Your insights will directly influence risk strategy, policy decisions, and process optimization across the organization.

Essential Duties and Responsibilities

  • Conduct comprehensive root cause analyses onloandata toidentifydrivers behindchanges in risk profiles,gaps, andanomaliesusing the Bank'sEnterprise Data Warehouseandtools such as SQL,Excel, and/orPython.

  • Create and manage dashboardsin Power BItoassistpersonnel across the Bank with reporting and portfolio management.

  • Perform reconciliations and data validation between the general ledger, source systems, models, and reports to ensure completeness and accuracy.

  • Collaborate with stakeholders across Portfolio Management, Underwriting, Loan Review,Bankers, andLoan Operations to understandcurrent procedures and chart a new path forwardfor any changes.

  • Transformdata insightsintoactionablerecommendationsusingdata visualizationsandconcise business writing.

  • Build repeatableprocedures and data sourceswith ITto ensure consistency of reported figuresand sound governanceprocedures.

  • Ensure data quality, lineage understanding, andappropriate model/codedocumentation.

  • Ensures all departmental documents and activities are performed in compliance with applicable laws, regulations,policiesand procedures as applicable to this position, including completion of required compliance training.

Qualifications

  • To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or abilityrequired.

Required Education and/or Experience

  • Bachelor's degree in Analytics, Finance, Economics, Statistics, Mathematics, Data Science, ora related field.

  • 2+years of experience in data analyticswithin the banking or commercial lending space. Will also considerexperience as an underwriter or portfolio managerwith significant exposure toSQL and/or dataanalytics.

  • Expertisein SQL;proficiencyin Python, R, or other analytical scripting languages.

  • AdvancedproficiencyinExcel, PowerBIand/or Tableau.

  • Critical thinkingskillsto break downcomplex andambiguous problems into clear analytical paths.

  • Ability to lead modest projects.

  • Ability to read, write, andcomprehendsimple instructions, procedures, business correspondence, reports, and memorandums.

  • Ability to speak effectively and present information, in one-on-one and small group situations tointernal stakeholders.

Preferred

  • Knowledge of default probability models such as Moody'sRiskCalcor CMM.

  • Familiarity withFRB guidance, credit policy concepts, or regulatoryframeworks.

  • Knowledge of statistical modeling, experimentation, or anomaly detection methods.

WhatWe'reLooking For (Beyond the Resume)

  • A natural investigator who enjoys exploring data with the same excitementassolving a puzzle.

  • A mindset that blends analytical rigor with creative problem-solvingwho bringsnew ideas,identifieshidden patterns, and challenges assumptions.

  • High intellectual curiosity-constantly asking questions like"Why is this happening?"and"What should happen next?".

  • A collaborator who builds strong cross-functional relationships and confidently drives conversations rooted in data.

Why Join Us?

  • Influence strategic decisions across credit risk and lending.

  • Work on highly visible analyses that shape the company's direction.

  • Engage with diverse problem setsby interacting with multiple lending verticals.

  • Be part of a team that values curiosity, innovation, and analytical excellence.

Equal Employment Opportunity Information: Simmons First National Corporation and its subsidiaries are committed to a policy of equal employment with respect to a person's race, color, religion, sex, ancestry, sexual orientation, gender identity, national origin, covered veterans, military status, physical or mental disability or any other legally protected classifications.

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