Jobs at Kemper

Performs independent quality assurance and validation across enterprise data platforms, warehouses, integrations, reporting solutions, and business processes. Responsibilities include data quality analysis, test strategy and automation, regression and release validation, incident investigation, root cause analysis, requirements traceability, governance, regulatory validation, and monitoring data quality metrics. The role partners with engineering, business, compliance, and operational teams while improving enterprise data integrity, reliability, and governance.

Designs, develops, validates, implements, and monitors statistical and machine-learning solutions for insurance pricing, product development, and profitable growth. Owns analytical workstreams from problem definition through delivery, builds scalable workflows using Python and cloud technologies, collaborates with data and business teams, participates in model and code reviews, communicates recommendations to stakeholders, and provides technical guidance to less experienced data scientists.

Leads enterprise cybersecurity programs from strategy through operational acceptance within an Agile/SAFe model. Manages integrated delivery plans, dependencies, risks, governance, financial controls, vendors, testing, change management, executive reporting, and operational readiness across security initiatives including IAM, GRC, SOC, vulnerability management, application security, cloud security, and data protection.

The IGA Analyst is responsible for managing identity governance operations, audit compliance, access reviews, stakeholder engagement, and continuous improvement within IAM processes.

Senior manager responsible for overseeing the financial close and consolidation process, ensuring accurate, timely month-end and quarter-end close activities, reconciliations, and consolidated financial reporting in a hybrid Chicago-based role.

Validate and assure enterprise data quality across source systems, ETL/ELT pipelines, data warehouses, and reporting. Investigate production incidents, design test strategies and automated validation, perform regression and non-functional testing, analyze data quality metrics, support compliance/audit activities, and collaborate with engineering and business stakeholders to improve data governance and controls.

Prepare and review journal entries and account reconciliations, consolidate operating information, support auditors, produce quarterly and annual financial statements (GAAP and statutory), analyze variances, and lead process improvement projects within P&C accounting.

Manage and mature identity security posture by continuously discovering identity exposures, prioritizing and orchestrating remediation, producing audit-ready evidence and metrics, integrating ISPM with tooling, and advising stakeholders to reduce identity attack paths and privileged access risk across enterprise systems.

Support audit team by executing data-driven testing, documenting results, evaluating data quality and internal controls, and recommending improvements. Build analytical skills, communicate testing strategies, and collaborate with stakeholders while gaining foundational audit experience.

The role requires designing scalable solutions, influencing system architecture, and providing technical guidance within Guidewire ClaimCenter and related technologies.

Designs, develops, and updates statistical and machine learning models; automates analytical processes; documents assumptions and code; extracts data via SQL; participates in model/code reviews and communicates results to stakeholders.

Lead a team to integrate data engineering practices within actuarial processes, developing scalable solutions for insurance pricing and analytics.

Design, implement, and maintain automated data testing and validation frameworks to ensure data integrity across ETL/ELT pipelines and reporting. Develop reconciliation, profiling, and automated test scripts; embed quality controls into Snowflake, Oracle, and AWS pipelines; support test environment strategy and governance; collaborate with engineers, QA, and stakeholders to improve DataOps, monitoring, and reporting validation while mentoring junior team members.