Top Tech Jobs & Startup Jobs

Deliver analytical consulting services, develop credit risk models using bureau and alternative data, advise on acquisition and credit-limit strategies, and translate technical findings into commercial value. The role requires advanced statistical and machine learning expertise, large-dataset analysis using Python and SAS, MSME lending knowledge, portfolio risk management experience, and the ability to manage complex projects and collaborate with business and technical teams.

Owns the full lifecycle of Experian bureau products, including product strategy, roadmap, market analysis, prioritization, development, launch, commercialization, adoption, and continuous enhancement. Partners with technology, data science, compliance, legal, sales, marketing, and global product teams to deliver data, analytics, API, and AI-powered solutions. Establishes KPIs, drives revenue growth, and ensures products meet customer, regulatory, and commercial objectives.

Lead the design, architecture, development, deployment, and optimization of scalable .NET backend systems processing millions of daily healthcare transactions. Mentor developers, guide technical decisions, improve CI/CD pipelines, implement secure APIs, and collaborate with product stakeholders. The role requires expertise in .NET, C#, ASP.NET Core, cloud-native AWS services, Kubernetes, microservices, distributed systems, testing, observability, and secure software development.

Designs and delivers AI-powered, data-driven solutions for credit, fraud, and identity decisioning. Leads client discovery, translates requirements into production-ready architectures using LLMs, APIs, microservices, AWS, and scalable data systems, and supports deployment and troubleshooting. Conducts technical presentations, demos, and workshops while partnering with Sales and Product to expand revenue. Applies security, compliance, data governance, SQL, data integration, and decisioning expertise across Bureau Composer implementations.

Develops and improves B2B pricing strategies using value-based pricing, customer segmentation, willingness-to-pay analysis, and price testing. Builds pricing models, offer structures, and commercial frameworks; analyzes pricing performance; advises commercial stakeholders; and supports pricing governance, tools, and Centre of Excellence resources.

Drive revenue across established and prospective clients for Experian Data Quality. Manage larger-spending customer accounts, expand relationships, generate new business, and sell consultative data intelligence software solutions. Responsibilities include prospecting, stakeholder engagement, opportunity development and closure, pipeline management, forecasting, and achieving annual revenue targets through new and existing business.

Own the technical strategy and architecture for highly available microservices and data pipelines supporting financial, analytics, and fraud platforms. Build and optimize Java-based cloud applications, deploy AWS workloads, establish CI/CD and observability practices, enforce security and compliance, and mentor engineering teams. The role also involves integrating generative AI technologies and supporting high-volume, security-sensitive financial systems in a hybrid work environment.

A 24-month finance graduate program featuring rotational assignments across accounting, accounts payable and receivable, order-to-cash, FP&A, revenue, cost, and controllership. Responsibilities include reporting, reconciliations, financial analysis, process improvement, automation, finance transformation, and collaboration with finance, data, technology, and business teams.

Leads Experian Insurance demand generation strategy across acquisition channels, performance marketing, experimentation, analytics, targeting, forecasting, and optimization. Manages a marketing portfolio and team, establishes testing frameworks, guides budget allocation and channel scaling, partners with Product and analytics teams, and translates funnel insights into growth investments.

Develop scalable and reliable backend solutions using .NET and cloud technologies. Collaborate with Product and Engineering stakeholders to translate business needs into technical solutions. Contribute to technical decisions, code reviews, best practices, and AI-assisted development using tools such as Claude and AI agents. Mentor less experienced developers and help improve engineering quality.