Top Tech Jobs & Startup Jobs in Chicago, IL

Supports quantitative risk management through model specification, impact analysis, P&L decomposition, backtesting exceedance attribution, performance monitoring, annual validation, and parameter review. The intern works with quantitative analysts on model development, monitoring, and research involving derivatives, stochastic calculus, statistics, econometrics, machine learning, and financial risk models.

Supports quantitative risk model performance monitoring through portfolio backtesting, metric implementation, documentation, analytics, and automation. Develops Python and Pandas scripts, writes SQL queries, assists with data analysis and visualization, participates in code reviews, and supports monitoring enhancements for new products and regulatory governance activities.

Supports internal audit and validation engagements through audit planning, fieldwork, control testing, process walkthrough documentation, findings documentation, and reporting. The intern reviews business-provided support, participates in meetings, and coordinates with engagement leads and supervisors. Assignments may cover cybersecurity and information technology audit areas.

Supports HRIS and people analytics projects, including Workday report standardization, data dictionary development, employee lifecycle mapping, HR metrics documentation, Hub optimization, report consolidation, and employee data administration. Collaborates with HR stakeholders while managing multiple projects and identifying process and data improvements.

Supports internal audit and validation engagements involving financial risk management and model risk management. Responsibilities include audit planning, fieldwork, control testing, process walkthrough documentation, assessing control design and operating effectiveness, documenting findings, reviewing business support, attending meetings, and coordinating with engagement leads and supervisors.

Seasonal intern supporting Model Risk Management by analyzing risk themes with statistical, econometric, and machine-learning methods; automating discrepancy and root-cause reporting; reviewing model remediation; and evaluating option implied-volatility modeling. The role requires financial mathematics knowledge, programming in R or Python, data analysis, and familiarity with derivatives pricing, stochastic calculus, statistics, probability, and linear algebra.

Supports Internal Audit engagements and validation work through audit planning, fieldwork, control testing, process walkthrough documentation, and reporting. Reviews business-provided evidence, documents control design and operating effectiveness, participates in meetings, coordinates with engagement leads and supervisors, and records findings or recommended enhancements. The internship is a 12-week hybrid summer program for enrolled undergraduate or graduate students pursuing accounting, finance, or a related field.

Year-round data platform intern supporting cloud-based data processing and data access services. Responsibilities include writing SQL, troubleshooting, documenting requirements, participating in Agile sprint reviews, collaborating with business and technical teams, and using technologies such as Python, Java, Kubernetes, Kafka, and AWS. The intern will also learn DevOps, monitoring, distributed systems, and AI-assisted development practices in a regulated financial-services environment.

Supports AWS cloud security guardrails, IAM controls, Open Policy Agent policies, governance automation, and FinOps tooling. Responsibilities include building monitoring and remediation tools, developing cost anomaly detection and cleanup automation, creating financial operations dashboards, and contributing to policy-as-code and tagging or chargeback solutions. The intern works on real platform engineering backlog items while developing cloud security and cost management expertise.

Supports UX and customer experience research for internal and external technology services. Responsibilities include conducting interviews and surveys, synthesizing findings, supporting journey mapping and service blueprint workshops, maintaining listening posts, updating dashboards, assisting with usability testing and design feedback, and managing Jira backlogs and project documentation.