Jobs at Equifax Inc.

Leads the strategic vision, lifecycle, roadmap, governance, and commercial execution of enterprise decisioning platforms. Responsibilities include developing automated decision engines and workflow tools, integrating cloud-native architecture and AI, conducting market and customer research, managing product performance and revenue, and ensuring regulatory compliance. The role requires experience with B2B SaaS, risk or credit decisioning, automated workflows, cloud platforms, APIs, and AI-enabled products.

Conducts client-focused analytics using credit reference data, statistical methods, Python, and SQL. Delivers credit strategy, model development, and bespoke analytical projects; analyzes multiple data sources, communicates actionable insights, and collaborates with internal and external stakeholders to develop commercial solutions.

Identify and pursue new business opportunities for Equifax’s EDS and Kount 360 fraud and identity solutions across UK and EU markets. Build client and partner relationships, develop sales pipelines, manage CRM forecasting, represent products at industry events, advise on fraud trends and payment strategies, structure commercial agreements with cross-functional teams, and improve commercial processes through best practices and AI tools.

Develop fraud scores, statistical models, machine learning algorithms, and analytical products using credit bureau, transactional, and alternative data. Apply regression, AI/ML, segmentation, and champion-challenger techniques to fraud prevention solutions. Extract and blend complex datasets, document model development, support validation and deployment, and collaborate with product, compliance, risk, technology, and global analytics teams.

Acts as the bridge between analytics users, product teams, technology teams, and governance. The role gathers requirements, supports user enablement, maintains platform guidance, assesses upgrades, implements platform capabilities, ensures compliant use, monitors costs, and develops backup and recovery plans. Requires hands-on SQL and Python experience in analytics environments, stakeholder management, and familiarity with GCP-based platforms and data technologies.

Leads B2B business development and market expansion across existing and untapped segments. Manages sales KPIs, revenue forecasting, go-to-market strategy, enterprise deal acquisition, account strategy, client negotiations, and RFI/RFP responses. Mentors sales teams, develops data-driven consumer propositions, and supports API-related implementation discussions for financial, telecommunications, and utilities clients.

Lead client analytics and consultancy projects using credit bureau data, statistical modeling, SQL, and Python. Develop credit strategies, scorecards, and models; perform data preparation, exploratory and performance analysis, and communicate findings to clients, sales teams, and senior stakeholders. Support customer solution design, proposals, presentations, and regulatory considerations relating to consumer credit and consumer duty.

As an AI Consultant, you'll analyze data, develop AI models, guide junior analysts, and communicate results, focusing on innovative solutions and predictive modeling.