Risk Analysts - Hybrid - Temp to perm

Job Description

Job Description

Risk Analyst / Sr. Risk Analyst – Business Analytics & Forecasting

Automotive Lending Industry | Contract-to-Hire | Atlanta or Dallas

CC Pace is seeking Risk Analysts on behalf of a longstanding client within the automotive lending industry. These are contract-to-hire opportunities supporting a growing Risk Management and Analytics organization focused on portfolio analytics, forecasting, predictive modeling, and strategic risk initiatives balancing growth, risk, and capture rate in a high growth environment.

We are open to candidates ranging from emerging analysts to experienced mid-level professionals. Mid-level candidates will typically possess 3–10 years of relevant experience in analytics, forecasting, quantitative modeling, risk management, or related disciplines.

This team values intellectual curiosity, enthusiasm, collaboration, and individuals who genuinely enjoy solving complex business problems with data. Candidates should be prepared to speak in depth about prior project work, including the business challenge, analytical methodology, tools used, tradeoffs considered, and measurable outcomes delivered.

Key Responsibilities

• Mine, process, and analyze large datasets using advanced analytical techniques and tools
• Build, recalibrate, validate, and maintain predictive and forecasting models
• Develop recurring and ad-hoc reporting related to portfolio performance, forecasting, risk trends, and business operations
• Analyze portfolio trends, KPIs, loss performance, residual values, depreciation trends, and economic factors
• Present actionable insights and analytical findings to leadership and business stakeholders
• Collaborate closely with Risk, IT, Finance, and business teams to support strategic decision making
• Assist in troubleshooting data quality issues and improving analytical/reporting processes
• Support ongoing enhancement of reporting frameworks, business intelligence capabilities, and forecasting methodologies

Required Qualifications

• Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, Finance, Accounting, or another quantitative discipline
• Strong experience in analytics, forecasting, business intelligence, quantitative analysis, or risk management
• Advanced Python skills are required and will be tested in the screening process.
• Strong SQL skills required
• Strong experience with analytical and statistical tools such as Python, R, SAS, Power BI, Fabric, or similar technologies.
• Ability to work with statistical concepts and apply analytical findings to practical business situations
• Strong verbal and written communication skills, you will present your findings to management
• Proficiency with Microsoft Excel and related reporting tools

Preferred Qualifications

• Experience within automotive lending, consumer lending, banking, captive finance, or financial services
• Experience with predictive modeling, forecasting, or portfolio analytics
• Experience with Power BI, or enterprise BI/data platforms

What We’re Looking For

We value candidates who are:

• Intellectually curious and eager to continuously learn
• Strong team players who collaborate well across technical and business teams
• Enthusiastic, proactive, and highly engaged
• Comfortable explaining technical work in detail
• Detail oriented with strong critical thinking and problem-solving abilities
• Able to balance analytical rigor with practical business judgment

Additional Information

• Contract-to-hire opportunity after 6 months
• We have a strong track record of conversions to permanent at this client
• Hybrid work schedule