Top Tech Jobs & Startup Jobs

Designs, automates, and manages highly available AWS cloud infrastructure using Terraform and Ansible. Develops Jenkins pipelines, maintains infrastructure code in GitHub, secures data with AWS KMS, and builds complex network and multi-account environments. Provides advanced system administration, operational support, disaster recovery, documentation, technical guidance, and on-call support for enterprise cloud and virtualization platforms.

Supports OCC’s Legal department through ad hoc projects, legal research, analysis, writing, and presentation development. The intern may work on regulatory, commercial, litigation, and corporate governance matters while assisting attorneys with legal processes and advice for OCC stakeholders. This is a 12-week seasonal summer internship for currently enrolled undergraduate or graduate students, specifically law students who have completed one or two years of law school.

Supports the Enterprise Project Management Office through project phase-gate compliance reviews, work request queue maintenance, project tool updates, schedule and change-request support, and analysis of EPMO control data. The intern reviews dashboards, assigns tickets, analyzes metrics such as time in status and escalations, and assists with ad hoc activities. This is a 12-week hybrid summer internship for enrolled undergraduate or graduate students.

Supports quantitative risk management through development, testing, monitoring, and improvement of financial risk models used for margin, clearing fund sizing, and stress testing. Projects may include evaluating model assumptions, creating sensitivity metrics, researching advanced methodologies for equity price and volatility modeling, and improving Python code libraries. The intern collaborates with quantitative researchers, model validation teams, technology staff, and business stakeholders.

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.