Top Fintech Data & Analytics Jobs in Chicago, IL

Lead analytics for US Card: identify business opportunities, build and test models, support product/pricing and marketing, manage credit risk analysis, drive implementation, and partner with IT, Sales, Operations, and Finance.

Lead data strategy, architecture, and modeling for high-volume transactional network platforms. Build monitoring and anomaly-detection frameworks, optimize operational data schemas, align local assets with enterprise data strategy, communicate findings to stakeholders, and mentor technical staff.

Lead analytics for enterprise marketing and messaging: build data solutions and self-service tools, mine varied data sources, develop dashboards and BI insights, ensure data quality/lineage and governance, collaborate with tech teams on security and access, and monitor data quality.

Design, build, and operate big-data and streaming platforms (Kafka, Hadoop, Dremio). Develop, deploy, and monitor data pipelines using Java, Python, Spark/Flink; collaborate on data modeling and ingestion, ensure data integrity and availability, act as a Big Data SME, and perform root-cause analysis.

Lead a team of data engineers and DBAs to ensure reliability, performance, and security of a data platform spanning SQL Server, Azure SQL, Snowflake, and Microsoft Fabric. Hands-on role includes performance tuning, incident response, monitoring, backup/recovery, platform modernization, and partnering with engineering and analytics for scalable, cost-efficient systems.

Leads technical business analysis across engineering, product, finance, and analytics teams. Translates business and regulatory reporting needs into requirements, data models, dbt models, SQL queries, metrics, and reporting solutions. Manages projects, mentors analysts, analyzes and reconciles data, resolves quality issues, and establishes testing, documentation, auditability, and data quality standards.

Build and launch benchmark, thematic, factor, strategic beta, and multi-asset indexes from concept through market launch. Conduct quantitative research, data analysis, signal testing, back-testing, portfolio construction, risk modeling, and statistical testing. Use Python and AI tools to automate workflows and accelerate methodology development. Create prototypes, dashboards, research materials, methodology documents, and client-facing narratives while partnering with research, product, technology, operations, and commercial teams.

The Manager, Identity Fraud Strategy oversees identity verification and authentication strategies, leads a fraud analytics team, and partners with CIAM to minimize fraud while enhancing customer experience.

The Director of Strategy & Analytics will lead analytics efforts, conduct data analyses, and collaborate cross-functionally to deliver actionable insights for business growth.

This role involves analyzing credit risk, improving lending policies, preparing loan performance data, and supporting regulatory compliance efforts. It also includes data querying and collaboration with analytics teams to optimize credit strategies.

The Reporting Analyst delivers accurate, actionable reporting and analysis for internal and external stakeholders. Responsibilities include fulfilling ad hoc requests, managing reporting queues and SLAs, validating and reconciling data, documenting report logic and data dictionaries, identifying automation opportunities, and protecting PHI and PII. The role uses SQL and Python for data extraction, transformation, analysis, and automation while maintaining reusable report templates and collaborating with data, visualization, product, operations, compliance, and account management teams.

Build and maintain reporting systems and SQL-based data pipelines for trading operations. Create dashboards and performance benchmarks, analyze transaction costs and slippage, ensure data integrity, monitor anomalies, and collaborate with traders, sales, engineers, and researchers to define and document reporting needs and system configurations.