Job Description Position Title: Senior Credit Risk Strategy Analyst Openings: 1 Remote/Hybrid: Fully remote (if local to Chicago, 2-3 days in office) Duration: 6+ month contract with strong potential for extensions and perm Converting Salary: 150-190k Bill Rate: Open but 42% markup Pay Rate: $70-95/hour, depending on experience Interview Process: 2 rounds virtual via Microsoft Teams – 1st round with direct hiring manager, 2nd round with Head of Business Banking Credit Strategy Target Start Date: 1/12 Requirements: Minimum of 8-10 years of experience building and developing credit risk strategy Experience with Loss Forecasting / CCAR / Stress Testing Experience analyzing credit data and building credit models in SAS/Python Strong statistics knowledge and experience creating reporting with complex data structures – credit analytics, deep diving into data, pulling data etc. Strong understanding of the entire life of a loan and the financial implications (credit card, business loans, or commercial lending background) Working background at a large bank or financial institution Bachelor's Degree in Finance, Economics, Statistics, Data Science, or a related field Excellent written and verbal communication skills Job Description: Insight Global is seeking Credit Risk Strategy Analysts to work within our large banking client’s Business Banking division. This team is currently rebuilding their Credit Strategy and need help transforming loan performance data into an expected loss calculation so that they are positive that they’re within their risk appetite. Additional Details: Understanding the key drivers of losses and P&L, their relative importance and the current trends; apply this knowledge effectively to forecast losses meaningfully and accurately; Analyze underlying model outputs relative to other business, ensure that the models provide rational and logical output, Reconcile detailed financial data from disparate data sources, Assists in the development of strategic plans. Identifies emerging issues and trends to inform decision-making. Researches existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements. Conducts independent analysis and assessment to resolve strategic issues. Leads and integrates the monitoring, measurement & reporting on the status of the risk decision strategy performance Develops and maintains risk strategies using analytics, predictive modelling and business rules to optimize decisions and productivity. Supports the planning and execution of the change management process including simulation, validation testing and reporting requirements to evaluate the effectiveness of the new or modified strategies. Works with data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs. Works independently and regularly handles non-routine situations. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Minimum of 8-10 years of experience building and developing credit risk strategy Experience with Loss Forecasting / CCAR / Stress Testing Experience analyzing credit data and building credit models in SAS/Python Strong statistics knowledge and experience creating reporting with complex data structures – credit analytics, deep diving into data, pulling data etc. Strong understanding of the entire life of a loan and the financial implications (credit card, business loans, or commercial lending background) Working background at a large bank or financial institution Bachelor's Degree in Finance, Economics, Statistics, Data Science, or a related field Excellent written and verbal communication skills