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Senior Risk Data Analyst Jobs (NOW HIRING)

Risk Manager / Senior Risk Analyst Location: Atlanta, Orlando or Tampa (Hybrid) - Remote ... Pursue external data sources and incorporate into analysis of sales and loss performance. * Analyze ...

Risk Manager / Senior Risk Analyst

Tampa, FL · On-site

$120K - $150K/yr

Risk Manager / Senior Risk Analyst Location: Atlanta, Orlando or Tampa (Hybrid) - Remote ... Pursue external data sources and incorporate into analysis of sales and loss performance. * Analyze ...

Risk Manager / Senior Risk Analyst Location: Remote flexibility available for the right candidate ... Pursue external data sources and incorporate into analysis of sales and loss performance. * Analyze ...

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Senior Risk Data Analyst information

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$53.5K

$109.8K

$142.5K

How much do senior risk data analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for senior risk data analyst in the United States is $109,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $137,000.00 per year, depending on experience, location, and employer.

How does a senior risk data analyst typically collaborate with other departments within an organization?

As a Senior Risk Data Analyst, you will regularly collaborate with teams such as compliance, finance, operations, and IT to gather data, validate risk models, and communicate findings. Your insights help inform decision-making across the business, so strong cross-functional communication skills are essential. You may participate in risk assessment meetings, support audits, and provide data-driven recommendations to improve risk management strategies. This collaborative environment not only enhances your analytical impact but also provides opportunities for professional growth and learning from other subject matter experts.

What are the key skills and qualifications needed to thrive as a senior risk data analyst, and why are they important?

To thrive as a Senior Risk Data Analyst, you need strong analytical skills, expertise in statistical modeling, and a background in finance, mathematics, or related fields, often supported by a relevant degree. Proficiency in data analysis tools like SQL, Python, R, and familiarity with risk management systems or certifications such as FRM or CFA is typical. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately identifying, assessing, and mitigating risks to support sound decision-making within an organization.

What does a senior risk data analyst do?

A Senior Risk Data Analyst is responsible for analyzing data to identify, assess, and help mitigate risks that could impact an organization. They use statistical methods and data modeling to uncover trends, evaluate the effectiveness of risk management strategies, and provide actionable insights to decision-makers. Their work often involves collaborating with other departments, preparing reports, and ensuring compliance with relevant regulations. Senior analysts also mentor junior team members and contribute to the development of risk assessment frameworks.

What is the difference between Senior Risk Data Analyst vs Risk Data Analyst?

AspectSenior Risk Data AnalystRisk Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Finance, or related field; certifications like FRM or CFABachelor's degree in related field; certifications are a plus but not mandatory
Work EnvironmentTypically in financial institutions, insurance companies, or consulting firms; involves complex data analysis and risk modelingSimilar environments, focusing on data collection, analysis, and reporting of risk metrics
Employer & Industry UsageUsed in banking, insurance, investment firms, and risk management departmentsCommon in finance, insurance, and corporate risk teams

The main difference between a Senior Risk Data Analyst and a Risk Data Analyst lies in experience level, responsibilities, and expertise. Senior Risk Data Analysts usually handle more complex risk models, mentor junior staff, and contribute to strategic decision-making, whereas Risk Data Analysts focus on data collection, analysis, and reporting. Both roles are vital in risk management but differ in scope and seniority.

More about Senior Risk Data Analyst jobs
What cities are hiring for Senior Risk Data Analyst jobs? Cities with the most Senior Risk Data Analyst job openings:
What states have the most Senior Risk Data Analyst jobs? States with the most job openings for Senior Risk Data Analyst jobs include:
What job categories do people searching Senior Risk Data Analyst jobs look for? The top searched job categories for Senior Risk Data Analyst jobs are:
Infographic showing various Senior Risk Data Analyst job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $109,846 per year, or $52.8 per hour.

Risk Analyst III - (Program Strategy)

Credit One Bank

Las Vegas, NV

Full-time

Re-posted 21 days ago


Job description

Position Summary
Credit One Bank is seeking a Risk Analyst III to join the Credit Risk team.  The Risk Customer team is responsible for leveraging data, credit thinking, and analytics to improve the quality of decisions made, drive tangible business impact, and set the strategy in our journey to holistically know our customers.  

As a Risk Analyst III you will be directly responsible for supporting and overseeing the Bank’s customer Retention and Reinstatement programs.  You will apply strategic and analytical skills to major company challenges and objectives.  You will team with world-class professionals to develop and test strategies that ultimately impact the bottom line.  And you'll do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.
 
Summary of Essential Job Functions
  • Drive business strategies that will facilitate growth, profitability, and competitive success for Credit One Bank in the face of shifting consumer and regulatory demands
  • Sound decision making and problem solving based on data driven analysis.  Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytics & credit risk management
  • Use analytical techniques and models to optimize risk strategies, segment customer populations, perform risk based prediction of customer or operational outcomes and increase program performance and efficiency
  • Apply statistical techniques to deliver accretive strategies across targeting, universe expansion, cutoff analysis, product mix optimization, and score utilization
  • Drive step-change improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior and testing hypotheses using rigorous monitoring and analysis
  • Perform complex analyses to maximize profits and asset returns while minimizing credit losses and other risk exposures
  • Identify business challenges and opportunities for improvement and solve for them using analysis to make strategic or tactical recommendations
  • Execute delivery of business intent, build business requirements and execute against program strategy.  Oversee multiple projects and programs concurrently
  • Draft and maintain formal process documentation (e.g. program strategy and procedures) and flowcharts/diagrams to visualize program workflows
  • Impeccable written and oral communication skills to influence and drive agreement among colleagues
  • Collaborate with colleagues across Credit One Bank including:  IT, Operations, Customer Experience, Finance and others to facilitate improvement in quality, volume, service, and profitability
  • Display an intense focus on achieving both short and long term goals. 
  • Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment
  • Communicate policy changes and test recommendations, program approvals, MIS and performance trends with key stakeholders
 
Position Requirements
  • Bachelor’s degree in a technical field such as mathematics, computer science, finance, economics, statistic or related field
  • 4+ years of strategy development and analytical experience in Credit, Operational Risk, Fraud, or similar strategy environment
  • Advanced capability with at least one of the following: Python, R, SAS, SQL
 
Preferred 
  • Advanced degree or comparable experience in a technical field such as mathematics, computer science, finance, economics, statistic or related field
  • 6+ years of strategy development and analytical experience in Credit, Operational Risk, Fraud, or similar strategy environment
  • Direct experience in Credit, Operational Risk, Fraud, or similar strategy environment
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.