Finance AI & Automation Engineer - Flexible Hours

RELX

Miamisburg (OH)

On-site

USD 79,000 - 131,000

Full time

14 days+

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Job summary

LexisNexis Legal & Professional, part of RELX, seeks an AI Automation Engineer to design, code, and deploy AI-enabled automation for FP&A workflows in Commercial and Corporate Finance. You will build data pipelines, integrate finance systems via APIs, and deliver production-ready solutions that reduce manual work and improve data quality.

The role emphasizes hands-on development with Python/SQL, APIs, and AI-enabled analytics, supporting finance teams with scalable, auditable processes and

Qualifications

  • Hands-on development experience with Python or SQL.
  • Experience building automation scripts, data pipelines, or system integrations.
  • Experience working with APIs and structured data (JSON/REST).

Responsibilities

  • Design, develop, and deploy AI-driven automation for FP&A workflows.
  • Write and maintain code to automate monthly reporting, forecasts, and data validation.
  • Build data pipelines to extract, transform, and load finance data between systems.
  • Develop integrations using APIs to connect finance systems and AI services.
  • Prototype solutions and move to production with proper controls.
  • Debug, optimize, and enhance automation and reporting solutions.
  • Embed AI capabilities into finance workflows, including automated commentary and anomaly detection.
  • Own the full solution lifecycle from concept to deployment and maintenance.

Skills

Python
SQL
APIs
Analytical thinking
Problem solving

Tools

JSON
REST

Job description

LexisNexis Legal & Professional, part of RELX, seeks an AI Automation Engineer to design, code, and deploy AI-enabled automation for FP&A workflows in Commercial and Corporate Finance. You will build data pipelines, integrate finance systems via APIs, and deliver production-ready solutions that reduce manual work and improve data quality.

The role emphasizes hands-on development with Python/SQL, APIs, and AI-enabled analytics, supporting finance teams with scalable, auditable processes and

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