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Hourly Data Risk Analyst Jobs in Chicago, IL (NOW HIRING)

Aon

Technology Risk & Governance Analyst

Chicago, IL · On-site

Technology Risk & Governance Analyst Want to help develop how a global organization handles its ... In this role, you will drive enterprise governance processes, improve data quality, coordinate ...

Akuna Capital

Junior Quantitative Risk Analyst

Chicago, IL · On-site

$90K/yr

... 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 ...

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All JobsHourly Data Risk Analyst JobsHourly Data Risk Analyst Jobs in Chicago, IL

Hourly Data Risk Analyst information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

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

As of Sep 10, 2026, the average yearly pay for hourly data risk analyst in Chicago, IL is $85,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 per year, depending on experience, location, and employer.

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

AspectHourly Data Risk AnalystData Analyst
CredentialsRelevant certifications (e.g., CRISC, CISA), degree in data, finance, or risk managementDegree in data science, statistics, or related field; certifications like CAP or Microsoft Data certifications
Work EnvironmentFinancial institutions, risk management firms, or compliance departmentsBusiness, marketing, finance, or technology sectors
Employer & Industry UsageUsed in industries with high data security and risk assessment needsCommon across various industries for data analysis and reporting

The Hourly Data Risk Analyst focuses on assessing and mitigating data-related risks, often within financial or compliance settings, while Data Analysts primarily interpret data to support business decisions across diverse industries. Both roles require strong analytical skills and relevant certifications, but their focus areas and work environments differ.

What are the most commonly searched types of Data Risk Analyst jobs in Chicago, IL?

The most popular types of Data Risk Analyst jobs in Chicago, IL are:

Hourly Data Risk Analyst jobs near you

Sr Credit Risk Analyst - Credit Card Strategy

Chicago, IL • Remote

Tiger Analytics Inc.
Business Management Consulting • 201 - 500 employees
Learn more about Tiger Analytics Inc.external

Full-time

Re-posted 5 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for experienced Credit Risk Analyst to join its credit risk strategy team. This role will focus on credit card portfolio management, credit line strategies, and developing data-driven risk policies to optimize portfolio performance while effectively managing credit exposure. The ideal candidate will have strong hands-on experience with Credit Line Increase (CLI) strategies, credit card risk management, portfolio analytics, and credit policy development.

Responsibilities:

  • Develop, enhance, and manage credit card credit line and CLI strategies.
  • Analyze portfolio performance, customer behavior, credit risk, utilization, exposure, and profitability.
  • Develop customer eligibility criteria and line-assignment strategies based on risk and business objectives.
  • Analyze credit bureau, customer, and portfolio data to identify opportunities for improving credit strategies.
  • Design and evaluate strategy tests, experiments, and champion/challenger approaches.
  • Partner with Risk, Product, Analytics, and other stakeholders to implement new and enhanced credit policies.
  • Monitor the performance of existing credit strategies and recommend improvements based on portfolio trends.
  • Use SQL, SAS, Python, or similar tools to perform portfolio analysis and generate actionable insights.
  • Assess the impact of credit strategies on key metrics such as credit losses, utilization, exposure, revenue, and customer performance.
  • Translate complex analytical findings into clear recommendations for business and executive stakeholders.
  • Prepare presentations, analysis, and recommendations for senior management.
  • Ensure credit strategies align with risk appetite, business objectives, and applicable policies.
  • Support ongoing portfolio monitoring and identify emerging credit risk trends.

Requirements

  • 6 to 9 years of experience in credit card risk strategy, credit line management, or portfolio management.
  • Direct experience designing, developing, or materially enhancing Credit Line Increase (CLI) strategies and policies.
  • Strong understanding of: Credit card economics, Customer behavior, Credit bureau data, Affordability, Credit exposure management, Credit risk.
  • Experience developing and managing eligibility rules, decision waterfalls, and line-assignment strategies.
  • Experience designing, executing, or evaluating strategy tests and experiments.
  • Strong hands-on experience with SQL, SAS, Python, or similar analytical tools for portfolio analysis.
  • Ability to analyze large datasets and translate analytical findings into actionable business recommendations.
  • Strong stakeholder management and executive communication skills.
  • Experience working with cross-functional teams such as Risk, Product, Analytics, Compliance, and Operations.
  • Strong understanding of credit risk policies and the ability to translate analytical insights into implementable credit strategies and policies.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.