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Data Risk Analyst Jobs in Texas (NOW HIRING)

Toyota

Insider Risk Analyst

Plano, TX

Analyze system logs, network traffic, authentication records, and application data ... Strong understanding of the insider threat landscape, investigation and risk assessment ...

Regional Finance

Sr Credit Risk Analyst

Plano, TX · On-site

This positions will utilize advance skills to analyze data, portfolio level performance trends, custom scorecard analysis, and forecasting skills to support credit risk functions. Duties and ...

Regional Finance

Sr Credit Risk Analyst

Plano, TX · On-site

This positions will utilize advance skills to analyze data, portfolio level performance trends, custom scorecard analysis, and forecasting skills to support credit risk functions. Duties and ...

SHI

Sr. Risk Analyst

Dallas, TX

Job Summary A Senior Risk Analyst (SRA) analyzes data and documentation to assess risks, reviews current processes and controls, and recommends improvements to enhance efficiency and reduce risk. The ...

SHI

Sr. Risk Analyst

Austin, TX

Job Summary A Senior Risk Analyst (SRA) analyzes data and documentation to assess risks, reviews current processes and controls, and recommends improvements to enhance efficiency and reduce risk. The ...

RPM Living

Insurance and Risk Analyst

Austin, TX · On-site

Responsibilities • Analyze insurance, operational, portfolio, legal, and risk-related data to identify trends, emerging risks, cost drivers, operational issues, and opportunities to improve ...

RPM Living

Insurance and Risk Analyst

Austin, TX · On-site

Responsibilities Analyze insurance, operational, portfolio, legal, and risk-related data to identify trends, emerging risks, cost drivers, operational issues, and opportunities to improve insurance ...

RPM Living

Insurance and Risk Analyst

Austin, TX · On-site

Responsibilities Analyze insurance, operational, portfolio, legal, and risk-related data to identify trends, emerging risks, cost drivers, operational issues, and opportunities to improve insurance ...

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$31.7K

$77K

$126.7K

How much do data risk analyst jobs pay per year?

As of May 30, 2026, the average yearly pay for data risk analyst in Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What does a Data Risk Analyst do?

A Data Risk Analyst identifies, assesses, and mitigates risks related to data security, compliance, and integrity. They analyze data flows, detect vulnerabilities, and ensure regulatory requirements are met. Their role involves working with IT, compliance, and business teams to develop risk management strategies. They also monitor data usage, implement security controls, and provide recommendations to minimize potential threats.

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

To thrive as a Data Risk Analyst, you need strong analytical abilities, knowledge of risk assessment frameworks, proficiency in statistics, and a relevant degree in fields like finance, data science, or information security. Experience with data analytics tools (such as SQL, Python, R), risk management software, and certifications like CRISC or CISA is highly valuable. Strong attention to detail, problem-solving capability, and effective communication skills set outstanding candidates apart. These combined skills are essential for identifying, evaluating, and mitigating risk in data-driven environments, ensuring organizational data integrity and regulatory compliance.

What are the typical daily responsibilities of a Data Risk Analyst?

As a Data Risk Analyst, your typical day might involve monitoring data systems for vulnerabilities, conducting risk assessments, analyzing data usage trends, and preparing risk reports for management. You’ll collaborate frequently with IT teams, compliance officers, and business stakeholders to identify potential risks and ensure that risk mitigation strategies are being implemented correctly. Additionally, you may be involved in developing data governance policies and assisting with audits to ensure compliance with industry standards. This role offers a dynamic work environment where adaptability and continuous learning are key.
More about Data Risk Analyst jobs
What are the most commonly searched types of Data Risk Analyst jobs in Texas? The most popular types of Data Risk Analyst jobs in Texas are:
What are popular job titles related to Data Risk Analyst jobs in Texas? For Data Risk Analyst jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Risk Analyst jobs in Texas look for? The top searched job categories for Data Risk Analyst jobs in Texas are:
What cities in Texas are hiring for Data Risk Analyst jobs? Cities in Texas with the most Data Risk Analyst job openings:
Data Risk Analyst jobs near you
Infographic showing various Data Risk Analyst job openings in Texas as of May 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 100% In-person job distribution, with an average salary of $76,992 per year, or $37 per hour.

Risk Analyst II

Stellantis Financial Services

Addison, TX • On-site

Full-time

Posted 14 days ago

Stellantis Financial Services rating

8.2

Company rating: 8.2 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Stellantis Financial Services (SFS) is the new captive finance company for one of the world's leading automakers and a mobility provider with iconic brands including Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall, Free2move and Leasys.
Our exciting growth provides opportunities to advance your career as we successfully lead products and services from a small to midsize company in just a few years. Join our world class team and culture and contribute to our core mission which is enhancing our customer's experience.
Position Summary:
The Risk Analyst II, Economics and Residual Management (ERM) is a key contributor within the Risk Management Department at Stellantis Financial Services, US by applying advanced analytical techniques to assess and mitigate risks. The Risk Analyst II, ERM conducts complex data analysis, interprets economic and residual value models, and delivers actionable insights to guide strategic decisions. This role will collaborate cross-functionally to proactively address risks related economic trends and residual value performance, strengthening organizational growth, stability, and resilience.
Responsibilities:
  • Lead the design and execution of advanced data analyses using SQL, SAS, Python, R, Tableau, and other BI tools to support risk identification, assessment, and mitigation.
  • Conduct scenario and ad hoc analyses to evaluate portfolio performance, residual value risk, and macroeconomic impacts.
  • Prepare, present, and maintain high-impact reports and dashboards that translate complex data into actionable insights for senior management.
  • Monitor portfolio trends, market valuations, depreciation patterns, and residual forecasts, recommending adjustments to risk strategies as needed.
  • Collect, process, and validate data for analytical and reporting purposes, troubleshooting inconsistencies to ensure accuracy and reliability.
  • Collaborate with IT, data engineering, and business units to enhance data infrastructure, define analytical requirements, and implement risk initiatives.
  • Mentor and support junior analysts by reviewing work, sharing best practices, and contributing to professional development.
  • Support the development, refinement, and governance of risk policies, procedures, and assessment tools.
  • Ensure strict confidentiality and security of sensitive consumer data, including Social Security numbers and dates of birth.
  • Perform other duties and strategic projects as assigned.

Qualifications and Competencies Required 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 ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Required Experience:
  • Minimum three (3) years of experience in risk analysis or data analytics within the consumer finance or auto finance industry.

Education:
  • Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Engineering, Physics, Actuarial Science, Finance, Risk Management, Quantitative Finance, or a related quantitative field.

Skills Required:
  • Proficiency in mathematical and statistical concepts, with advanced experience using SQL, SAS, Python, R, or similar programming languages for data analysis and modeling.
  • Expertise in data querying, analysis, and visualization using tools such as Excel, Tableau, or Power BI.
  • Ability to synthesize complex or diverse datasets to provide actionable insights for business strategies.
  • Experience managing projects effectively, tracking progress, communicating updates, and ensuring timely completion.
  • Excellent verbal and written communication skills, with the ability to present technical findings to non-technical audiences and collaborate across departments.
  • Ability to interpret and follow written, oral, or diagrammed instructions, and make recommendations beyond standard guidelines.
  • Commitment to continuous learning and development of analytical and programming skills.
  • Ability to work independently and collaboratively across departments to achieve objectives.

Qualifications Preferred:
  • Master's Degree in: Computer Science, Information Technology, Mathematics, Statistics, Actuarial Sciences, Economics, Risk Management or Finance.
  • Experience with statistical/analytical software/languages.
  • Familiarity with modeling such as Random Forest, Gradient Boosted Trees, and other Machine Learning techniques is a plus!
  • Prior Auto finance or captive industry.

Physical Demands:
  • The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • While performing the duties of this Job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms and talk or hear. The employee is occasionally required to stand; walk and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision.

Work Environment:
  • The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.

Work Schedule:
  • Hybrid role that will be in the office two days per week.
  • This position requires the ability to work various shifts to accommodate business needs. Typically, between the hours of 8AM-6PM Monday through Friday and on weekends as needed.
  • Overtime required - required on an as needed basis.
  • Travel 0-10% - as required on an as needed basis.
  • Must have reliable transportation and live within a commutable distance to one of the following cities: Dallas, TX.

An applicant must be authorized to work in the United States to be eligible for this position. Stellantis Financial Services, Inc. will not sponsor applicants for work visas of any type for this position.
Stellantis Financial Services, Inc (SFS) is an equal opportunity employer and is committed to providing its employees an environment that is free of harassment, discrimination, and intimidation. It is the policy of SFS to comply with all applicable employment laws and regulations and to provide equal opportunity for all qualified persons and to not discriminate against any employee or applicant for employment because of race, color, religion, sex, age, national origin, disability, pregnancy, sexual orientation, veteran status, gender identity or expression, change of sex, and/or transgender status or any protected status. Candidates must possess authorization to work in the United States. This policy applies to recruitment and placement, promotion, training, transfer, retention, rate of pay and all other terms and conditions of employment. Employment and promotion decisions will be based solely on merit, ability, achievement, experience, conduct and other legitimate business reasons.

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