Top Tech Jobs & Startup Jobs in Chicago, IL

Build and implement machine learning models for personal loan acquisition, including customer selection, campaign optimization, underwriting, pricing, and verification. Partner with data scientists, engineers, and product managers; analyze large-scale numeric and textual datasets using Python, Spark, AWS, and related tools; validate and backtest models; and translate statistical insights into customer-focused business outcomes.

Designs and delivers cloud and on-premises security platforms, automated controls, IAM, endpoint, network, and data protection systems. Develops automation for vulnerability management, detection, and compliance monitoring; advises on incident response and forensics; integrates security into enterprise platforms; evaluates security technologies; establishes engineering standards; and supports security tools. Requires at least five years of cybersecurity or IT experience, cloud experience, and experience implementing automated security solutions.

Build and architect scalable cloud data platforms, pipelines, and applications using Python, Spark, SQL, Databricks, Snowflake, and relational and NoSQL databases. Collaborate with engineering, product, analytics, and data science teams; implement secure and resilient data solutions; enforce reusable engineering patterns; communicate technical outcomes; mentor colleagues; and support distributed, real-time, and cloud-based workloads.

Lead the strategy and roadmap for secure, governed third-party AI agent access to Google Workspace. Drive development of an API and MCP broker layer, establish safe usage patterns and guardrails, increase adoption of live Workspace data, and partner with Risk and Cyber teams to ensure agent actions are authenticated, authorized, and audited. The role also requires cross-functional leadership, user-focused product development, and organizational behavior change.

Manages enterprise risk initiatives across business lines, standardizing risk processes, developing metrics, overseeing controls and guidance, analyzing operational data, and delivering executive reporting. Partners with first- and second-line stakeholders, technology, product, and data teams to implement risk and process improvements. Leads training and supports internal audit, regulatory interaction, and special projects.

Lead model validation and risk quantification across business domains. Partner with data scientists, engineers, and PMs to build and challenge production models using Python, Spark, H2O, and cloud tools. Drive model governance, backtesting, and present identified model risks to executives while mentoring teams and advancing validation frameworks.

Analyze complex data, develop self-service data solutions, build business intelligence tools and dashboards, deliver strategic insights, and manage data quality, metadata, lineage, security, and access governance. The role requires scripting, querying, visualization, Snowflake development, and collaboration with business and technology teams.

Design and scale resilient, cloud-native payment systems and distributed microservices. Lead technical architecture, technology roadmaps, and cross-team engineering initiatives while mentoring developers. Build full-stack solutions using Java, AWS, Kafka, multiple programming languages, databases, containers, and modern AI coding tools. Drive reliability, performance, observability, security, regulatory support, coding standards, and enterprise technology strategy.

Leads product management for Capital One’s Global Payments Network, improving payment experience consistency, scalability, adoption, and customer value. Partners cross-functionally across authorizations, settlement, disputes, back-office operations, pricing, and go-to-market. Uses customer insights, business strategy, data, technology, and integrated problem-solving to develop reliable digital payment products, mitigate risks, and drive organizational alignment and transformation.

Leads engineering projects and developers building large-scale, distributed, cloud-native full-stack systems for Capital One Card Technology. Responsibilities include architecture, implementation, technical strategy, platform roadmaps, mentoring, regulatory solutions, reliability and performance optimization, observability, and collaboration with product and architecture teams. The role uses modern programming languages, microservices, databases, containers, cloud platforms, APIs, CI/CD, and automated testing.