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Analytic Engineer – Global Identity and Fraud-1

  • Atlanta, United States of America
  • Data & Analytics
  • Full time
  • J00130223

Equifax is looking for an Analytic Engineer to join our world-class Global Identity and Fraud Capabilities team.  The team is designing and extending their global luminate platform that is being adopted across the different global regions. The design and build of a reusable prototype for global deployment requires the candidate to understand, assess the strategic needs of the product. 

You will be working in a dynamic environment, where we embrace moving quickly to build new core capabilities for Luminate.  In this exciting role, you will be applying your understanding of data sources and products to design solutions to standardize, integrate analytic product logic ; to build new features supporting identity and Frauds solution. The successful candidate will exhibit product and  process curiosity, have the ability to establish best practices where none are defined,  interpret and proactively contribute when new challenges emerge. The candidate should have a desire to learn new concepts and have the ability to work in a cross matrixed, collaborative and fast paced environment.   

What You'll Do:

  • Partner with Technology and D&A teams to review, understand and interpret the business requirements to design and build missing functionalities to support the regional product needs.

  • Support design, creation, and  build of new analytics related capabilities/features to enable product solutions.

  • Collaborate with EFX partners to develop business requirements to successfully define the requirements for the new features or capabilities across regions. 

  • Follow best practices around code development, maintenance, and testing to improve our solution design.

What Experience You Need:

  • Must have 3 years of experience working in analytics/ data product related code development.

  • 1-3 years of Python coding skills with working knowledge of associated softwares: Github, SQL, automation 

  • Master’s degree or equivalent in Engineering, Statistics or other related discipline

  • 1-3 years' experience working in an Agile environment and with cross-disciplines including Data Engineers, IT Architects, and business domain experts.

What Could Set You Apart:

  • Intermediate – Advanced Python, Scala, and SQL experience 

  • Strong coding experience and design experience

  • Experience working with Spark, GCP -Big Query, data studio, Data flow, Cloud composer, Big Table

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

If this sounds like somewhere you want to work, don’t delay, apply today - we’re looking for you!

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Who is Equifax?

At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. ​​​​​​​

We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.

Equifax is an Equal Opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, ancestry, age, sex/gender, sexual orientation, gender identity or expression, service in the Armed Forces, protected veteran status, national origin, physical or mental disability, genetic information, citizenship status or any other status protected by law.

For US Applicants

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