Jobs at GM Financial

Analyzes consumer credit data and makes approval or denial decisions within established authority and regulatory requirements. Develops dealer relationships, supports automotive finance contract volume and profitability goals, manages dealer service queues, conducts dealer calls and outbound telemarketing, tracks monthly goals, and ensures complete deal documentation. The role requires automotive finance, underwriting, sales, regulatory, and consumer credit knowledge in a fast-paced hybrid office environment.

Supports global Treasury business systems through requirements analysis, project implementation, testing, configuration, administration, issue resolution, and vendor coordination. The role works across cash flow, borrowings, debt, capital management, securitization, and bank reconciliation systems. It communicates project status, interprets business rules and technical specifications, recommends system solutions, advises project teams, and mentors junior analysts. The position operates in a hybrid environment and requires Treasury or financial services knowledge, SQL, data visualization, and security framework awareness.

Leads the strategy, architecture, development, and production deployment of enterprise Generative AI solutions, including agentic voicebots, multi-agent systems, and RAG architectures. Guides AI engineering teams, establishes technical standards, mentors engineers, and partners with product, architecture, security, legal, and compliance stakeholders. Builds scalable APIs, microservices, deployment pipelines, and responsible AI practices while driving innovation and organizational adoption.

Drives enterprise AI adoption by leading Microsoft 365 Copilot training, workshops, office hours, and business-unit enablement. Helps users build simple agents with Copilot and Copilot Studio while ensuring governance, permissions, and data-handling compliance. Maintains AI resources, tracks adoption metrics, standardizes intake processes, supports responsible AI practices, and automates manual workflows. Requires strong communication, facilitation, problem-solving, relationship-building, and continuous-improvement skills.

Supports privacy and data protection initiatives through privacy impact assessments, personal-data analysis, digital compliance reviews, website and cookie testing, regulatory monitoring, stakeholder collaboration, and privacy awareness materials. The intern works with Legal, Cybersecurity, Digital, privacy engineering, and operations teams while evaluating responsible AI use and supporting organizational compliance.

Leads the development, deployment, and maintenance of predictive, prescriptive, and statistical models across finance, risk, fraud, marketing, and customer experience. Provides technical leadership, mentorship, and training to Data Scientists; applies advanced machine learning and statistical methods; coordinates analytics projects; partners with business leaders; communicates findings to senior stakeholders; and oversees research, model implementation, and MLOps practices.

Leads complex cloud security investigations across Microsoft Azure and Microsoft 365, serving as the senior escalation point for incident response. Develops playbooks, cloud detections, alerts, and repeatable response processes; mentors responders; performs forensic analysis using Microsoft security telemetry; and participates in on-call support. The role also requires stakeholder communication, technical documentation, automation, threat hunting, and continuous improvement of cloud incident response operations.

Leads software engineering teams developing modern applications, platforms, and services. Provides architecture and coding expertise, manages budgets and resources, establishes technical learning plans, removes impediments, and improves delivery through metrics and testing. Partners with business operations, communicates strategies to executives, and oversees platform definition, software architecture, tool selection, automation, and regulatory alignment. The role requires 8–10 years of software development experience and expertise across cloud, integration, DevOps, programming, database, testing, and AI-enabled tools.

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.

Supports corporate treasury and financial analysis activities, including preparing reports, analyzing financial trends and forecasts, researching competitor data, coordinating information, supporting financial analysts, and assisting with financing transactions. The intern also contributes to special projects and communicates with internal and external stakeholders in a hybrid professional environment.

Drives product vision, roadmap, backlog prioritization, user story development, and delivery of customer-focused solutions. Partners with Agile teams, product managers, stakeholders, and vendors to define requirements, improve processes, manage launches, and measure product performance. Requires 4–6 years of Product Owner or Product Manager experience, Agile certification, knowledge of APIs and cloud technologies, and strong communication, problem-solving, negotiation, and collaboration skills.