Top Tech Jobs & Startup Jobs in Chicago, IL

Lead and expand the Application Security program: define roadmap, embed security into SDLC, perform architecture and code reviews, manage vulnerability lifecycle and incident response, lead penetration testing strategy, deliver executive metrics, and mentor a small hands-on AppSec team.

Lead cloud security for GCP and Azure by operationalizing CNAPP tooling, embedding security-as-code with Terraform/CI-CD, driving vulnerability management, improving detection and response with Chronicle, hardening data and endpoint security, and mentoring engineers while serving as senior escalation during incidents.

Lead credit risk analytics for credit card and personal loan portfolios: develop ML-driven credit strategies, monitor portfolio performance, run A/B tests, forecast credit losses and stress tests, ensure regulatory compliance, and partner across Product, Engineering, Legal and Marketing.

Lead credit underwriting, pricing, verification, and portfolio performance for personal loans. Use data and ML/AI to design automated decisioning, manage credit/fraud risk, forecast losses, and present strategies to leadership and investors. Collaborate cross-functionally and build vendor/alternative-data strategies to drive profitable growth while keeping losses within risk appetite.

The VP of Marketing will lead the marketing ecosystem to drive growth, define competitive advantages, influence product design, and mentor a diverse team towards a mission-driven culture.

Build and deploy machine learning models for credit and fraud risk, analyze portfolio performance, monitor models in production, develop risk strategies, collaborate with engineering and cross-functional partners, and conduct high-impact ad-hoc analyses to inform business decisions.

Lead development of credit and fraud strategies using data, ML models, and advanced analytics. Design A/B tests, analyze portfolio performance, conduct root-cause and ad-hoc analyses, and partner with Data Science, Product, and Engineering to implement and validate risk and fraud prevention strategies while communicating findings to stakeholders.

Develop and test credit and fraud strategies using data, machine learning, and advanced analytics. Design A/B tests, analyze portfolio performance, identify trends, and partner with Data Science, Product, and Engineering to implement and validate risk decisions. Communicate findings and conduct ad-hoc analyses to optimize marketplace credit outcomes.