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Equifax

Equifax

www.equifax.com

3 Jobs

17,243 Employees

About the Company

At Equifax (NYSE: EFX), we believe knowledge drives progress. As a global data, analytics, and technology company, we play an essential role in the global economy by helping financial institutions, companies, employers, and government agencies make critical decisions with greater confidence. Our unique blend of differentiated data, analytics, and cloud technology drives insights to power decisions to move people forward.

Headquartered in Atlanta and supported by nearly 15,000 employees worldwide, Equifax operates or has investments in 24 countries in North America, Central and South America, Europe, and the Asia Pacific region.

For more information, visit Equifax.com.

Listed Jobs

Company background Company brand
Company Name
Equifax
Job Title
Customer Success Manager
Job Description
**Job Title**: Customer Success Manager **Role Summary**: Deliver pre‑ and post‑implementation consulting for Fraud & Identity solutions, enabling clients to realize value, reduce fraud losses, and improve operational performance through proactive initiatives, data‑driven insights, and continuous support. **Expactations**: - 5+ years of client‑facing experience in financial services, automotive lending, telecom, insurance, or government/public sector. - Bachelor’s degree in criminology or a related field (or equivalent professional experience). - Intermediate/expert knowledge of credit adjudication, AML, FINTRAC, and fraud case‑management systems. - Strong analytical, communication, organizational, and critical‑thinking skills. - Proficiency with MS Office, G‑Suite, and SharePoint. **Key Responsibilities**: 1. Collect and analyze data from internal and client sources to assess solution performance and identify new metrics and trends. 2. Recommend and implement modifications to business rules, configurations, and strategies to enhance fraud prevention. 3. Provide planning, design, configuration assistance, training, problem resolution, and second‑level support for new and existing clients. 4. Develop a client support model that includes regular cadence meetings, quarterly business reviews, and annual health checks. 5. Conduct training workshops for client employees at varying levels. 6. Participate in pre‑sales and account‑management meetings to define project scoping, requirements, timelines, and prioritization. 7. Communicate project status to internal and external stakeholders, offering fraud‑related subject‑matter expertise. 8. Stay current on fraud trends, share insights with clients, and present as a fraud subject‑matter expert at industry events and user groups. 9. When Equifax Managed Services are engaged, assist with fraud investigator training, production monitoring, audit, and review of deliverables. **Required Skills**: - Data analytics, trend analysis, forecasting, predictive modeling (advantageous). - Strong oral and written communication; presentation skills. - Attention to detail, strong organizational skills, and adaptability to change. - Ability to interpret complex information and articulate client needs. - Bilingual proficiency in English and French (preferred). - Membership in fraud/risk industry associations (preferred). - Product knowledge of Equifax credit, fraud, and authentication solutions (advantageous). **Required Education & Certifications**: - Bachelor’s degree in criminology, finance, risk management, or equivalent. - Knowledge of AML/FINTRAC regulations and credit adjudication best practices. - Certifications in fraud, risk, or related fields are a plus.
Toronto, Canada
Hybrid
Mid level
03-12-2025
Company background Company brand
Company Name
Equifax
Job Title
Software Engineer - Entry
Job Description
**Job title** Software Engineer – Entry **Role Summary** Entry‑level software engineer responsible for designing, developing, and deploying small‑to‑medium scale Java applications and services on cloud platforms (GCP, AWS, or Azure). Works collaboratively with product and engineering teams to implement microservices architecture, CI/CD pipelines, and infrastructure‑as‑code solutions, while adhering to agile practices and contributing to system integration and technical documentation. **Expactations** - Translate business requirements into functional design for small or modular systems. - Follow established software engineering principles, write clean, maintainable code, and conduct thorough code and design reviews. - Provide constructive feedback during release and build processes. - Rapidly assimilate new technologies and apply them to project deliverables. - Engage in architecture and roadmap discussions, translating vision into viable product features. - Operate independently yet proactively coordinate with cross‑functional teams. **Key Responsibilities** - Design and implement Java modules and microservices within a large‑scale environment. - Develop and maintain serverless and containerized services across AWS, GCP, or Azure. - Contribute to CI/CD pipelines, infrastructure‑as‑code scripts, and automated testing suites. - Integrate applications with existing corporate product platforms. - Produce and maintain technical documentation for system components. - Participate actively in agile ceremonies (Scrum, sprint planning, stand‑ups, retrospectives). - Collaborate with UI teams on front‑end components (HTML, JavaScript, Angular, Bootstrap). - Perform unit and integration testing using JUnit, Selenium, or similar frameworks. **Required Skills** - 6+ months of Java development experience. - Proficiency with backend frameworks: Spring Boot, J2EE, SOA, and microservices. - Familiarity with source control (Git, SVN) and build tools (Maven, Gradle). - Experience with relational databases (SQL Server, MySQL). - Competence in cloud services (GCP, AWS, or Azure) and associated tooling. - Knowledge of automated testing (JUnit, Selenium, LoadRunner, SoapUI). - Understanding of Agile environments (Scrum, XP). - Work with Atlassian tools (JIRA, Confluence, GitHub). - Ability to develop using modern JDK (v1.7+). **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience. - 6+ months of hands‑on Java programming. - 6+ months of cloud technology experience (GCP, AWS, or Azure). - Cloud certification (AWS, GCP, or Azure) strongly preferred.
St louis, United states
Hybrid
04-12-2025
Company background Company brand
Company Name
Equifax
Job Title
Data Scientist / Model Developer - Commercial Lending
Job Description
**Job title** Data Scientist / Model Developer – Commercial Lending **Role Summary** Lead the design, development, and deployment of predictive models and analytical solutions for commercial lending. Work across cross‑functional teams to transform large, complex datasets into actionable insights, while ensuring model performance, data quality, and compliance with regulatory standards. **Expectations** - Independently manage end‑to‑end analytics projects, from data acquisition to model delivery. - Demonstrate measurable business impact through model adoption and decision support. - Mentor junior data scientists and uphold high standards of data governance. - Stay current with cloud technologies and evolving industry regulations. **Key Responsibilities** - Build data pipelines: ingest, cleanse, transform, and load commercial datasets (e.g., Companies House) into scalable cloud environments. - Design, train, and evaluate statistical and machine‑learning models for credit risk, probability of default (PD), and business failure. - Optimize models for accuracy, efficiency, and scalability; conduct performance monitoring and remediation. - Develop data quality rules, governance processes, and security controls. - Translate analytical findings into clear visualisations and executive‑level presentations. - Collaborate with product, engineering, and compliance teams to embed models into operational workflows. - Guide and review junior analysts’ work, ensuring adherence to best practices and quality benchmarks. - Continuously research and recommend new cloud‑native tools, frameworks, and techniques. **Required Skills** - Strong Python programming (pandas, numpy, scikit‑learn, TensorFlow/PyTorch) and SQL data manipulation. - Experience scripting in languages such as Bash or PowerShell. - Proven track record in building and deploying commercial credit scoring models. - Expertise in model evaluation, hyper‑parameter tuning, cross‑validation, and bias‑fairness checks. - Familiarity with data pipeline orchestration (Airflow, Prefect) and cloud storage/compute services. - Ability to produce clear dashboards (Tableau, PowerBI, or Looker) and stakeholder‑focused reports. - Knowledge of regulatory requirements for commercial lending and data governance. - Strong problem‑solving, communication, and teamwork skills. **Required Education & Certifications** - Bachelor’s degree in a STEM field (Statistics, Mathematics, Computer Science, Finance, Economics, etc.). - Preferred Master’s degree in a quantitative discipline (Statistics, Economics, Data Science). - Certifications: AWS Certified Data Analytics – Specialty, Google Cloud Professional Data Engineer, or equivalent. - Optional: Model implementation/testing certifications (e.g., Model Risk Management). ---
London, United kingdom
Hybrid
11-12-2025