Top Tech Jobs & Startup Jobs

Evaluates business processes to identify opportunities for automation, agentic AI, process redesign, and data-driven solutions. Facilitates process discovery and mapping, assesses inefficiencies, develops business cases and value assessments, and partners with business teams to prioritize transformation opportunities and define future-state processes. The role requires business analysis, automation knowledge, low-code technology skills, enterprise problem-solving, and collaboration with business and IT stakeholders.

Own automation and AI product development from discovery through delivery. Lead business discovery, gather and prioritize requirements, define roadmaps and user stories, manage the product backlog, evaluate opportunities, coordinate with technical teams, communicate with stakeholders, and drive adoption while measuring business outcomes.

Analyzes large and complex datasets to identify trends, risks, inefficiencies, and business opportunities. Develops reports, dashboards, and analytical models; quantifies business value; and supports AI, automation, and process improvement initiatives. Partners with stakeholders and IT to convert findings into actionable recommendations and decision-support solutions. The role also involves data mining, visualization, process documentation, and presenting complex insights to management.

Owns personal auto insurance underwriting and portfolio health processes, serving as a subject-matter expert and escalation authority. Responsibilities include policy reviews, eligibility assessments, cancellations, non-renewals, rescissions, regulatory compliance, process design, KPI development, documentation, mentoring policy servicing staff, and driving cross-functional technology and process improvements.

Supports pricing data management, analysis, reporting, invoicing, and research for North American loan and lease products. Gathers and analyzes business data, evaluates operational impacts, develops findings, and presents results to stakeholders. The internship also provides project experience, networking, career development, and exposure to AI-enabled workflows in a hybrid environment.

Develops, deploys, and maintains predictive, prescriptive, and statistical models across finance, risk, fraud, marketing, and customer experience. Conducts research, analyzes large datasets, applies advanced statistical and machine learning methods, develops recommendations, monitors models, and presents findings to leadership. Partners with business stakeholders to translate business issues into quantitative questions and improve decision-making. Requires strong quantitative, communication, research, and project management skills.

Leads research, statistical analysis, and predictive modeling across finance, risk, fraud, marketing, customer experience, and portfolio performance. Develops, deploys, monitors, and maintains advanced models; communicates findings and recommendations to leadership; mentors junior data scientists; and partners with business teams to apply analytics to strategic decisions.

Conducts research, data analysis, and predictive, prescriptive, and statistical modeling across finance business areas. Develops algorithms, analyzes large datasets, monitors models, communicates findings to leadership, and provides recommendations that improve business decisions and portfolio performance. The role requires advanced quantitative methods, collaboration with internal stakeholders, and effective management of multiple analytical projects.

Leads GM Insurance’s regulatory and statistical reporting processes, including reporting inventories, filing calendars, data analysis, validation, reconciliation, controls, documentation, and submissions. Partners with Legal, Accounting, Actuarial, Claims, Product, Operations, Technology, and Data teams to resolve data issues, support audits and regulatory inquiries, improve data quality, and automate reporting processes. Requires advanced SQL, Python experience, insurance reporting knowledge, and strong analytical and stakeholder-management skills.

Supports consumer credit risk and portfolio management through data analysis, validation, reporting, trend monitoring, and performance analytics. The intern develops data-driven insights, improves management reports, collaborates with cross-functional partners, and communicates findings to business leaders. The role also provides exposure to credit risk strategy, portfolio analytics, responsible AI use, and business decision-making within auto finance.