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Data Risk Analyst Jobs in Illinois (NOW HIRING)

... Operations, and Data teams to remediate root causes and document resolutions • Assist in ... Prepare analysis and materials for portfolio reviews, risk forums, and governance routines ...

... data driven solutions, and automation. We specialize in providing liquidity as an options market ... What you'll do as a Junior Quantitative Risk Analyst at Akuna: We are looking for a motivated and ...

FINRA is seeking a Senior Risk Monitoring Analyst to play a pivotal role in safeguarding the ... Intermediate-to-Advanced ability to analyze diverse data sources to assess member firm risks and ...

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Data Risk Analyst information

See Illinois salary details

$32.9K

$80.1K

$131.8K

How much do data risk analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data risk analyst in Illinois is $80,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,000.00 per year, depending on experience, location, and employer.

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.

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.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. Entry-level positions may start lower, but experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher wages, especially in tech and finance sectors.

Is 40 too late for data science?

A Data Risk Analyst can enter data science at any age, as the field values skills like programming, statistics, and domain knowledge. Many professionals transition into data science later in their careers by gaining relevant certifications, such as in Python or machine learning, and building a portfolio of projects. Age is less important than skills, experience, and continuous learning in this field.

Will AI replace a data analyst?

AI is expected to automate routine data processing tasks, but the role of a data analyst involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Data analysts will increasingly work alongside AI tools, focusing on analysis, storytelling, and decision support rather than manual data handling.

What does a data risk analyst do?

A data risk analyst evaluates and manages risks related to data security, privacy, and compliance within an organization. They analyze data processes, identify vulnerabilities, and implement controls using tools like data governance frameworks and risk assessment methodologies to protect sensitive information.
What are the most commonly searched types of Data Risk Analyst jobs in Illinois? The most popular types of Data Risk Analyst jobs in Illinois are:
Sr. Risk Analyst, Credit

Sr. Risk Analyst, Credit

Federal Home Loan Bank of Chicago

Chicago, IL • On-site, Remote

$110K - $115K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

At the Federal Home Loan Bank of Chicago, employees come first - that's why we offer a highly competitive compensation and bonus package, and access to a comprehensive benefits program designed to meet the needs of our employees.

  • Collaborative, in-office operating model

  • Retirement program (401k and Pension)

  • Medical, dental and vision insurance

  • Lifestyle Spending Account

  • Competitive PTO plan

  • 11 paid holidays per year

      Responsibilities

      • Operate and maintain credit risk models for mortgage loan portfolios
      • Lead the development and implementation of alternative credit risk strategies
      • Build algorithmic solutions and design strategies for model assumption setting and performance monitoring
      • Conduct scenario analysis and stress testing to assess portfolio risks under macroeconomic and climate risk scenarios
      • Research risk management frameworks to assess environmental and regulatory risk drivers on mortgage portfolios in accordance with regulatory requirements and industry best practices and report to senior management
      • Perform credit reviews for member institutions based on financial performance and credit worthiness
      • Collaborate with validators, auditors and regulators to improve model accuracy and ensure regulatory compliance
      • Optimize business processes through the use of data management and programing tools
      • Research, diagnoses and identify solutions to issues on data anomalies and portfolio performance and create dashboards for senior management and risk committees
      • Support business on MPF product design with business analytics

      Position Requirements

      • Master's degree in Mathematics, Finance, Quantitative Finance or related field and 2 years of related experience, or, a Bachelor's degree in Mathematics, Finance, Quantitative Finance or related field and 4 years of related experience
      • Any amount of experience operating and maintaining credit risk models for mortgage loan portfolios
      • Any amount of experience building algorithmic solutions and design strategies for model assumption setting and performance monitoring
      • Any amount of experience conducting scenario analysis and stress testing to assess portfolio risks under macroeconomic and climate risk scenarios
      • Any amount of experience conducting business analysis using statistics methodology and tools of aggregated data from databases via SQL

      Must live within normal commuting distance of worksite. Remote work allowed up to 50 days per year.

      Salary range $110,150 to $115,000

      Salary Range:

      $90,400.00 - $150,700.00

      The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors. In addition to the base salary, we offer a comprehensive benefits package which can be found here: https://hrportal.ehr.com/fhlbc