Top Tech Jobs & Startup Jobs in Chicago, IL

Reposted 4 Days AgoSaved
Hybrid
Chicago, IL, USA
138K-189K Annually
Mid level
138K-189K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead and inspire a creative team to develop insight-driven marketing campaigns for Capital One's Retail Bank, collaborating with strategists and partners to enhance customer experience and brand strategy.
Top Skills: Adobe Creative SuiteAdobe XdFigma
Reposted 4 Days AgoSaved
Hybrid
Chicago, IL, USA
147K-185K Annually
Mid level
147K-185K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
The role involves developing and deploying machine learning models for anti-money laundering, leveraging advanced analytics, statistics, and large datasets while collaborating with cross-functional teams.
Top Skills: AWSCondaH2OPythonSparkSQL
Reposted 4 Days AgoSaved
Hybrid
Chicago, IL, USA
179K-225K Annually
Senior level
179K-225K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The Lead Software Engineer will lead diverse technology projects, mentor developers, and deliver cloud-based solutions to meet regulatory needs.
Top Skills: AWSCSSDockerGoHTMLJavaJavaScriptKubernetesPythonSQLTypescript
Reposted 4 Days AgoSaved
Hybrid
2 Locations
162K-203K Annually
Senior level
162K-203K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Risk Manager will manage data risks, develop risk management processes, and collaborate across multiple teams to ensure compliance and governance in Global Payments Networks.
Top Skills: Data GovernanceProject ManagementRisk Management Frameworks
5 Days AgoSaved
Hybrid
2 Locations
187K-235K Annually
Senior level
187K-235K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The Director Compliance Advisory will provide compliance advice for personal loans, manage compliance programs, and lead a team in identifying risks and coordinating with stakeholders.
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5 Days AgoSaved
Hybrid
Chicago, IL, USA
150K-205K Annually
Mid level
150K-205K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
The role focuses on managing product strategies for customer resiliency, enhancing technology use, and leading cross-functional teams to improve customer experiences for those facing financial hardships.
Top Skills: Data AnalysisDigital ProductsProduct Management
Reposted 5 Days AgoSaved
Hybrid
2 Locations
210K-287K Annually
Mid level
210K-287K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
As a Business Director, you'll develop pricing strategies, manage teams, drive revenue growth, and collaborate across departments to optimize product initiatives and marketing strategies.
Top Skills: Data Modeling/AnalyticsProject ManagementQualitative AnalysisQuantitative Analysis
Reposted 5 Days AgoSaved
Hybrid
Chicago, IL, USA
210K-287K Annually
Mid level
210K-287K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
The Business Director leads insights and analytics for Community Finance, driving innovation and strategic decision-making through data analysis and operational execution.
Top Skills: Data ModelingFinancial ServicesProject ManagementQualitative AnalysisQuantitative Analysis
5 Days AgoSaved
Hybrid
Chicago, IL, USA
74K-93K Annually
Junior
74K-93K Annually
Junior
Fintech • Machine Learning • Payments • Software • Financial Services
The role involves supporting the AML program by maintaining governance processes, documenting changes, monitoring compliance, and preparing assessment materials.
Reposted 5 Days AgoSaved
Hybrid
2 Locations
138K-189K Annually
Mid level
138K-189K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead drafting and modernization of payment network operating rules and related publications; partner with executives and cross-functional stakeholders to ensure clarity, enforceability, governance, and documented rule-change processes; apply legal training to translate complex requirements into implementable rules; use technology (including AI tools) to improve rule quality while maintaining human accountability.
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