Top Fintech Jobs in Chicago, IL

Develop causal inference analyses and economic models using Mastercard and public datasets. Translate business questions into empirical designs, build and validate econometric and machine learning models, lead projects from data ingestion through stakeholder communication, guide causal inference best practices, prototype scalable analytics, and collaborate with clients and internal teams. Required expertise includes Python or R, SQL, quasi-experimental methods, causal machine learning, experimentation, and clear communication of technical findings.

Supervise and develop a contact center team by managing hiring, onboarding, training, coaching, performance management, quality, sales, and service goals. Resolve escalated member issues, monitor calls, provide feedback, ensure required training and compliance, and partner with management and other departments to improve member experiences and team performance.

Owns end-to-end product marketing and go-to-market strategy for priority products and capabilities. Develops positioning, value propositions, messaging, integrated launch plans, channel strategies, governance, readiness materials, success metrics, and measurement plans. Partners with product, digital, analytics, communications, and business teams to execute launches, optimize adoption, and transition initiatives into business-as-usual lifecycle management.

Investigate debit and credit card fraud disputes, review supporting documentation, determine claim validity, and process regulatory notifications accurately. Provide member and internal partner support, identify fraud trends, assist with business-rule development and remediation, investigate complaints, and conduct root-cause analysis of account losses. Ensure compliance with applicable banking regulations, laws, policies, and privacy requirements.

Supports a core P&L through credit performance management, underwriting model evaluation, process improvement, customer experience initiatives, and strategic project execution. The role owns projects from recommendation through implementation, manages cross-functional relationships, evaluates vendors, negotiates with partners, and uses data to guide decisions and improve business performance.

The Sr. Salesforce Architect oversees the design and architecture of Salesforce solutions, collaborates with stakeholders, and drives digital transformation through best practices in development and integration.

Leads product vision, strategy, roadmaps, and delivery for Retirement & Wealth digital products. Translates customer and business needs into solutions, prioritizes features using data and market insights, tracks OKRs and KPIs, develops business cases, and collaborates with Technology, Design, Marketing, Sales, and business stakeholders. The role also mentors product managers and business analysts and drives measurable customer and business outcomes.

Leads operational transformation across Capital One’s US Card Servicing organization. Develops strategic roadmaps, identifies process and technology improvements, manages a team of 3–5 associates, partners with analytics, product, operations, and technology teams, and uses data-driven, customer-centric approaches to improve servicing tools, workforce efficiency, and customer outcomes.

Leads software engineering projects and developer teams building distributed microservices and full-stack cloud solutions. Provides technical leadership across Agile teams, defines service boundaries and integration patterns, improves system performance, reduces technical debt, and establishes engineering standards. The role involves developing with multiple programming languages, databases, Docker, Kubernetes, and cloud services while mentoring engineers and influencing long-term technology strategy.

Design, build, and support scalable cloud data platforms, pipelines, and applications. Responsibilities include distributed data engineering, data modeling, warehousing, streaming, security, access control, and operational efficiency. The role collaborates with Agile teams, product managers, analysts, data scientists, and software engineers; establishes reusable engineering patterns; communicates technical outcomes; mentors peers; and delivers resilient data solutions using technologies such as Python, Spark, Databricks, Snowflake, and cloud platforms.

Build and maintain AWS cloud infrastructure, production data pipelines, CI/CD systems, automated tests, deployment tooling, observability, and data quality checks. Support risk analytics production systems, participate in on-call rotations, troubleshoot operational issues, and collaborate with quantitative analysts to productionize financial models. The role offers increasing responsibility for system design and development while requiring strong Python, SQL, infrastructure-as-code, cloud, and quantitative finance skills.

Leads the Revenue Platform product organization, setting strategy for transparent pricing, billing, invoicing, cost and margin visibility, and compliance capabilities. The role manages and develops product managers, partners with Engineering, Finance, Legal and Commercial teams, and drives adoption of reusable platform services. Candidates need substantial product leadership experience, technical depth in event-driven data systems, financial fluency, and experience with billing, pricing, revenue, payments or related infrastructure.

Own and optimize credit models, strategies, and decisioning workflows across Credit Karma and Experian channels using MBE and Taktile. Lead experimentation, KPI measurement, dashboards, reporting, and analytical initiatives supporting loan growth and portfolio performance. Partner with Risk, Engineering, Legal, Compliance, and product teams on requirements, QA, releases, roadmaps, and strategy. Conduct market research and present actionable recommendations to senior management.

Designs, develops, and automates scalable cloud infrastructure and CI/CD pipelines. Responsibilities include infrastructure lifecycle management, vulnerability remediation, eliminating manual processes, improving platform reliability, and collaborating with software and risk engineering teams. The role requires expertise in cloud-native systems, distributed architectures, Kubernetes, Linux, networking, infrastructure as code, configuration management, and multiple programming languages.

Design and execute software usability tests, run test scenarios, and prepare reports on test effectiveness. Role requires a Bachelor’s in Computer Science/Engineering (or equivalent) and 7+ years building, architecting, and troubleshooting large-scale infrastructure with a focus on reliability and scalability.