Gen AI Engineer (Finance)

Equifax has a newly created role due to growth for a Gen AI Engineer / Data Steward to support our Commercial Business Unit on our USIS Data and Analytics Team.

This role will support the day to day stewardship of Commercial Corporate Linkage data assets and processes with a specialized focus on technical methods of building, improving, and maintaining data quality and coverage.

This role requires technical proficiency in modern AI and machine learning techniques as well as strong business acumen. Knowledge of commercial (business) information is a plus.

This role requires being in our Alpharetta, Georgia office 3 days/week on Tues, Wed and Thurs.

What you'll do

• Work closely with internal clients in all phases of prototype development and deployment
• Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative product development
• Deploy innovations, including AI/ML techniques for predictive analytics
• Develop and implement NLP solutions for keying and linking
• Remain current on new developments in AI/Machine Learning, distributed algorithms, Big Data, Predictive Analytics, and Cloud Technology
• Quality Monitoring: Own the development of automated, threshold-based reports that efficiently and reliably identify areas for further investigation and improvement. Act on the findings of these reports in a timely manner, prioritizing work efforts based on business impact.
• Continuous Improvement: Work with an evergreen roadmap of initiatives, powered by work in Quality Monitoring and Customer Engagement, helping to drive these projects to completion.
• Governance: Deliver on the consistent application of data custodianship, data usage and other internal control processes implemented across Equifax to ensure compliance and privacy policies and standards are met.

What experience you need

• Bachelor's degree or higher Mathematics, Statistics, Data Science, Physics, Computer Science, Operations Research, Economics, Engineering or related quantitative field
• 3 years' experience applying predictive analytics and modeling to solve complex business problems
• 3 years of experience with data handling/quality tools and Big Data ecosystems i.e. SQL, Google Cloud Platform, BigQuery. Strong SQL skills required.
• 3 years of experience with data and business insights analysis which identify and drive ongoing excellence in data quality practices
• 3 years of experience with Python, Tensorflow, and Spark
• Any experience or academic degree coursework with machine learning and artificial intelligence
• Experienced in developing AI/ML models using Matlab, Python, Scala/Spark, or SAS

What could set you apart

• Strong communication skills of analytical results to technical and non-technical audiences alike
• Experience working on big data platforms (e.g., Google Cloud, AWS, Snowflake, Hadoop) is a plus
• Experience with NLP (Natural Language Processing), LLMs (Large Language Models) and/or Generative AI
• A strong sense of governance protocols, the need to respect highly sensitive data and proactive attention to regulatory, security and compliance driven policies
• Demonstrate leadership with cross-functional efforts; develop effective working relationships with peers, managers, and senior management within and across organizational lines
• Experience working with Commercial/Business information, especially when related to corporate ownership (corporate hierarchy)
• Creativity and drive, coupled with a desire to grow in thought leadership, initiative and strategic thinking