Top Tech Jobs & Startup Jobs in Chicago, IL

Provides second-line non-financial risk oversight for Asset Management, advising leaders on governance, risk assessments, controls, operational resilience, cybersecurity, third-party risk, privacy, monitoring, reporting, and business change. The role challenges risk inventories and metrics, supports committees and regulatory engagements, monitors internal and external developments, and partners with stakeholders on technology, processes, and controls. Requires 7+ years of financial-services risk management experience, strong risk framework expertise, judgment, communication, and relationship-management skills.

Leads U.S. Wealth Management Middle Office operations supporting banking, trust, investment, client servicing, onboarding, money movement, and account reviews. Manages multiple operational units and subordinate managers, oversees performance and career development, drives process analysis, automation, reengineering, and integration of new workflows, and serves as a change agent. Partners cross-functionally to improve efficiency, productivity, and service quality while handling staffing and disciplinary decisions.

Reviews wealth-management client files for AML, CIP, KYC, EDD, sanctions, and regulatory compliance during new account openings. Collaborates with front-office teams, identifies and escalates compliance risks, supports resolution of audit and regulatory findings, and documents review results. The role requires financial institution regulatory knowledge, analytical and communication skills, and strong organization.

Lead development and architectural evolution of an AI-powered code security scanning platform. Build React interfaces, Python orchestration services, Azure AI and cloud integrations, CI/CD automation, vulnerability analysis workflows, and secure authentication systems. Improve scalability, reliability, observability, reporting, and AI-powered detection capabilities while supporting enterprise applications in regulated environments. The role combines full-stack engineering, DevOps, cloud architecture, AI/LLM integration, and application security ownership.

Partners with senior leaders to align workforce strategy, organization design, talent planning, succession, culture, change initiatives, employee relations, and HR solutions with business goals. Uses people analytics and AI-enabled insights to inform decisions, coaches leaders, facilitates talent discussions, manages risk, and integrates HR Centers of Excellence. Requires strong consulting, communication, judgment, and change leadership capabilities.

Lead global client marketing strategy for asset management across institutional, wealth, and intermediary segments. Own annual marketing plans, integrated campaigns, messaging, sales enablement, custom content, events, lead scoring, nurture programs, campaign optimization, budgets, and cross-functional stakeholder relationships. Partner with sales, investment, product, compliance, digital, and creative teams to drive client acquisition, retention, engagement, and revenue growth. Manage, mentor, and develop a global team while applying industry insights and emerging technologies.

Design, develop, and implement Java Spring Boot APIs and microservices for fraud technology. Apply microservices architecture, API security, authentication, authorization, and data protection. Collaborate with architecture, product, QA, and DevOps teams; monitor and troubleshoot services; maintain technical documentation; and build CI/CD automation. The role requires Azure, Terraform, OAuth2, JWT, API management, OpenAPI, and related development tools, with banking or fraud experience preferred.

Lead the design, development, and operation of enterprise Master Data Management data pipelines. Own data ingestion, transformation, quality validation, batch processing, SLA adherence, and downstream distribution. Modernize ETL capabilities using Azure technologies while improving scalability, performance, automation, and operational efficiency. Provide technical leadership, mentorship, and oversight to the ETL engineering team.

Serves as the technical and functional lead for enterprise Master Data Management. Translates business needs into MDM requirements, data models, business rules, and processes across party, account, and reference data domains. Oversees data ingestion, transformation, quality assurance, governance compliance, and master-data distribution. Defines data-quality KPIs and collaborates with stakeholders, data stewards, owners, architecture, and governance teams to support regulatory, client lifecycle, and enterprise data strategies.

Leads automated testing and production stability validation across infrastructure and application environments. Designs automation strategies and frameworks, oversees infrastructure change testing, reviews code quality, manages incident and root-cause analysis, and ensures resiliency, SLA compliance, and ITIL alignment. Coordinates cross-functional and USA-India teams, supports disaster recovery testing, manages test identities and auditability, reports quality metrics, and drives continuous improvement through CI/CD, monitoring, and unattended automation solutions.