Top Tech Jobs & Startup Jobs in Chicago, IL

Lead development and refinement of machine learning models for pricing and profitability. Collaborate with various teams, synthesize insights, and improve business outcomes while adhering to agile methodologies.

The AML Technology Application Lead oversees AML & sanctions technology platforms, ensuring regulatory compliance and system stability while leading modernization and integration efforts in AWS cloud environments.

The Principal Data Engineer will design and implement enterprise data frameworks, mentor teams, and ensure data quality while collaborating with stakeholders.

Build and manage a branch-based wealth management practice by conducting client discoveries, creating tailored financial plans, growing relationships via referrals and partner engagement, and coordinating with internal specialists to deliver investment, insurance, estate, and financial planning services.

Drive measurable productivity, throughput, and workforce efficiency across the Global Capability Center. Use operational data to model capacity, identify bottlenecks, and implement process improvements. Lead cross-border collaboration with US and India teams, partner with engineering, finance, and risk to ensure scalable, compliant delivery, and provide leadership reporting and governance for sustained productivity gains.

The Mortgage Market Manager generates mortgage lending opportunities by maintaining relationships with realtors and managing a sales team, ensuring compliance and meeting sales goals.

The Compliance Manager will lead privacy risk assessments, ensure compliance with privacy regulations, and analyze privacy metrics to enhance the Privacy Program.

The Senior Data Engineer will design scalable data processing frameworks using Java and Apache Spark, manage data pipelines, and mentor junior engineers.

The Principal IT Risk Analyst oversees technology risks, engages with technical teams, responds to audits, analyzes risk data, and manages action plans to mitigate risks in cloud infrastructure and storage.

The role involves leading a team in infrastructure management, monitoring Kafka clusters, integrating various systems, automating setups, and ensuring operational excellence.