Top Tech Jobs & Startup Jobs in Chicago, IL

Performs claims file audits, quality and compliance reviews, dashboard development, and trend analysis to improve auto and casualty claims handling. Collaborates with claims leadership and internal stakeholders to establish best practices, develop corrective action plans, monitor regulatory compliance, and support training. The role also implements automated quality-review processes, analyzes quantitative and qualitative data, and makes recommendations for continuous improvement in a fully remote environment.

Participate in an eight-month strategic sales training program before managing dealer relationships across an assigned U.S. territory. Responsibilities include supporting automotive finance initiatives, analyzing dealer data, resolving credit and portfolio issues, coordinating with internal teams, marketing programs, and representing GM Financial. The role requires relocation, overnight territory travel, a valid driver’s license, weekend availability during training, and communication with dealers outside normal business hours.

Sells and services General Motors Insurance policies through consultative quoting, sales, policy changes, billing support, renewals, and endorsements. Resolves customer complaints, provides multichannel support, follows up on customer requests, analyzes service data, and collaborates with internal teams to improve retention and loyalty. The role requires bilingual English and Spanish communication, a property and casualty or personal lines license, and strong customer service and problem-solving skills.

The Privacy Engineer supports GM Financial’s Privacy Office by developing privacy controls, policies, standards, and scalable technical solutions. Responsibilities include advising stakeholders on privacy requirements, implementing consent and cookie compliance workflows, supporting marketing and ad tech strategy, conducting privacy process reviews, automating audits with Python, and applying anonymization and pseudonymization techniques. The role requires translating legal and regulatory requirements into technical solutions and managing multiple privacy projects.

Actuarial Manager developing and validating pricing, reserving, predictive, and prescriptive models for insurance and protection products. The role analyzes complex data using SQL, Python, R, and actuarial software; performs exploratory analysis, data mining, simulations, and visualization; provides business recommendations; and coaches actuarial team members. Requires collaboration across finance, accounting, engineering, IT, and other departments.

Leads GM Insurance’s regulatory and statistical reporting processes, including reporting inventories, filing calendars, data analysis, validation, reconciliation, controls, documentation, and submissions. Partners with Legal, Accounting, Actuarial, Claims, Product, Operations, Technology, and Data teams to resolve data issues, support audits and regulatory inquiries, improve data quality, and automate reporting processes. Requires advanced SQL, Python experience, insurance reporting knowledge, and strong analytical and stakeholder-management skills.

Apply advanced actuarial methods, predictive modeling, and data analytics to support reserving, ratemaking, and business decisions. Build and validate models, perform EDA, query and transform data, create visualizations, mentor junior analysts, lead projects, and collaborate with cross-functional teams to drive performance and perform periodic reserve reviews.