Who is Credible? We are a marketplace where users can compare personalized, prequalified rates and quotes from multiple lenders and carriers, for student loans, mortgages, personal loans, and insurance. We’re challenging the status quo by giving power to the consumer. We believe in a world where ‘ethical’, ‘lending’, and ‘insurance’ can coexist, so we set out to build innovative platforms that actually work for customers. Our mission is to help people find the best loan or insurance policy possible. We believe researching and buying loans or insurance shouldn’t be confusing or complex, so we’ve focused on simplicity. About the Role: Credible is looking for outgoing, enthusiastic Operations Interns for a summer internship. As an Operations Intern, you will assist the Loan Operations and Client Success teams. This internship will provide you an opportunity to practice your customer service, data processing, critical thinking, and analytical skills across several Marketplace Operations teams. You will learn from business leaders and walk away from this internship with effective business skills. Dates: 5/18/2026 - 8/28/2026 5/18/26 - 8/14/26 - 40 hrs/week required 8/17/26-8/30/26 - 15-20 hrs/wk required, 40 hrs/week available* Hours: 9am - 6pm EST (1 hr lunch break) Location requirements: Remote - Eastern & Central Time Zones (*ONLY* Maryland, Massachusetts, New Jersey, New York, North Carolina, Pennsylvania, Texas) Responsibilities: Understand Credible’s Private Student Loan, Student Loan Refinancing, and Personal Loan products Respond to a high volume of inbound client inquiries coming in by phone, live chat, and email Complete outbound calling campaigns to help clients move forward with their loan request Evaluate customer requests for loan options and process those requests efficiently and accurately with support from the Loan Operations team Identify client needs and help clients use specific site features Educate customers by explaining how different financial products work and assist them in improving their financial literacy with support from the Client Success team Develop customer-related metric reports, analyze the data, and report findings to management Education and Skills: Must be a current Bachelor’s student or recent graduate Must have a 3.0 GPA or higher Detail-oriented, organized, and able to multitask Strong collaborative nature, able to work cross-functionally with client-facing and back-end teams with a solution-focused mindset Tactful, with sound judgment -- you will be helping people with important and stressful decisions Excellent written and verbal communication skills Strong critical thinker with the ability to identify trends and issues Why work at Credible? We combine the intelligence, expertise, and confidence of a financial advisor with the approachability and honesty of a friend. In other words, we’re the friend you always wish you had in finance. We are optimistic, challengers, trustworthy, clever, and smart. We are open and transparent. We strive to act as advisors by being friendly, objective, and open in our communication. We use language that is intelligent yet approachable. When appropriate, we’ll drop in a bit of wit to position ourselves as a fresh, reliable voice in the financial world. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

• Build and scale data systems that drive our “decision intelligence” products. • Collaborate across teams to ensure data is a true product enabler. • Design systems that empower customer-facing data products. • Provide technical leadership and mentorship to other data engineers and cross-functional collaborators. • Own the architecture and evolution of our data platform, ensuring it meets the performance, scalability, and agility needs of our growing business. • Implement data governance, quality, and observability best practices to ensure trustworthy insights, proactively managing data health before it impacts the business. • Optimize cloud data infrastructure for cost, performance, and maintainability, treating the platform as a product rather than just a utility. • Collaborate closely with product managers, engineers, and customer stakeholders to understand context and needs, and help translate them into engineering solutions.

• Lead end-to-end delivery of enterprise data migrations from corporate systems (SAP, Oracle, Epic ERP) to target cloud data platforms, including the design of cloud landing zones, data governance frameworks, and system rationalization strategies. Establish migration compliance controls, automated rollback procedures, and operational readiness gates while owning full technical accountability for 12–18+ month migration roadmaps. • Build production-grade data connectors to SAP (RFC, IDoc, BAPI, OData), Oracle (AQ, GoldenGate, APIs), and SQL/non-relational sources. Develop ETL/ELT pipelines with LLM-enabled transformation logic, multi-layer validation and reconciliation frameworks, and optimized throughput for datasets scaling from tens of millions to billions of records with built-in CDC and incremental loading. • Construct semantic ontology layers translating raw ERP structures into business-consumable objects (Customer, Order, Invoice, Product, Vendor, Asset). Deploy automated schema mapping agents for source-to-target analysis and transformation logic generation. Build unified master data models with row/column-level security, cross-system lineage tracking, and AI-ready semantic structures. • Build operational dashboards, migration control centers, and agent-driven workflows for automated validation, exception handling, and anomaly detection using low-code platform tools. Generate TypeScript/Python SDKs for custom integrations and deliver real-time monitoring and self-service interfaces for migration progress, data quality KPIs, and compliance tracking. • Lead consolidation of 5–15+ fragmented ERP instances into standardized master data models. Resolve complex entity resolution challenges including customer matching, product harmonization, and chart of accounts unification. Establish golden record frameworks, data quality scorecards, survivorship rules, and data stewardship workflows for post-migration governance. • Serve as primary technical advisor to C-suite and enterprise architecture stakeholders across all engagement phases. Deploy discovery agents to analyze legacy data estates, conduct assessment workshops, facilitate solution design sessions, and deliver executive briefings, go/no-go readiness assessments, and prioritized modernization roadmaps. • Build reusable migration accelerators, playbooks, and reference architectures that scale across engagements. Lead knowledge transfer to upskill client teams for post-migration ownership and collaborate with internal product and sales engineering teams to feed field insights back into platform development and delivery methodology. • Operate autonomously in ambiguous, high-stakes client environments, driving outcomes with minimal oversight; translate deeply technical concepts into clear, business-level narratives for C-suite audiences through executive briefings and stakeholder communications; navigate organizational complexity, competing stakeholder priorities, and enterprise change management dynamics to maintain momentum across multi-workstream engagements; mentor junior engineers, cultivate technical capability within delivery teams, and foster a culture of knowledge sharing and continuous improvement.

Senior Data Engineer Job Summary The Senior Data Engineer works collaboratively within their team to perform feature analysis, research, requirements gathering, defining product architecture, designing features, implementation/coding, testing, deployment, maintenance, and support of RedSail products. The Senior Data Engineer is a vital member of a Scrum team actively participating in all aspects of the Scrum workflow. The focus of a Senior Data Engineer will be on database design and architecture, ELT/ELT, data lake/warehouses, data security, development, troubleshooting, optimization, design/code reviews, product quality, working within the team, mentoring others, and assisting with product directions.