Analyst II, Banking Automation Engineer

At FNBO, our employees are the heart of our story—and we’re committed to their success! Please see below the details of this career opportunity and how it fits into our organization’s success.

Summary of the Job:

The Banking Automation Engineer is responsible for designing, building, and maintaining automated solutions that improve efficiency, reduce manual processes, and enhance operational accuracy across key banking functions such as Risk, Operations, Finance, and Treasury.

This role develops automation solutions using Python, RPA tools, and cloud-based technologies, including services within Amazon Web Services (AWS), to support scalable and production-ready workflows. The Banking Automation Engineer partners with Senior Banking Automation Engineers and cross-functional teams to deliver reliable automation solutions that integrate with enterprise data platforms and reporting tools.

The ideal candidate combines technical skills with a process improvement mindset and has a foundational understanding of how to leverage cloud environments to build resilient, maintainable automation solutions within a regulated banking environment.

About This Role:

Job Responsibilities Design, develop, and implement automation solutions using Python, RPA tools (e.g., Blue Prism), and workflow platforms

Build automation scripts to support data processing, reporting workflows, and operational processes

Translate defined requirements into efficient, scalable, and maintainable automation solutions

Develop and deploy automation workflows using services within Amazon Web Services (AWS)
Utilize AWS services such as:

Compute (e.g., Lambda, EC2) for running automation processes

Storage (e.g., S3) for handling input/output data Scheduling and orchestration (e.g., Event Bridge, Step Functions)
Support secure access and integration with internal systems while adhering to enterprise security and compliance standards

Identify opportunities to eliminate manual, repetitive tasks across reporting and operational processes

Partner with Senior Banking Automation Engineers and stakeholders to improve process design prior to automation

Test automation solutions to ensure accuracy, completeness, and reliability

Validate outputs against source systems and business expectations

Support deployment of automation solutions into production environments (including AWS-based deployments) and monitor performance

Work with structured data using SQL and cloud platforms such as Snowflake Document automation logic, workflows, and AWS architecture for maintainability and auditability

Follow established coding standards, naming conventions, and version control practices

Ensure compliance with internal controls, audit requirements, and regulatory expectations

Work closely with Senior Banking Automation Engineers, Data Analysts, and Data Engineers to support end-to-end solutions

Participate in intake and discovery processes to understand automation requirements

Provide support and troubleshooting for existing automation processes

The Ideal Candidate for This Role:

Knowledge,

Skills and Abilities

Foundational understanding of automation concepts, including scripting, RPA, and workflow automation

Basic understanding of cloud computing concepts, particularly within Amazon Web Services (AWS)
Understanding of data structures, relational databases, and data processing concepts

Proficiency in Python for automation, data processing, and scripting

Experience or exposure to RPA tools such as Blue Prism Basic to intermediate SQL skills for querying and validating data Ability to work with AWS services such as:

Lambda, S3, EC2, or similar cloud services

Strong problem-solving skills with attention to detail and accuracy

Ability to debug, troubleshoot, and optimize automation workflows

Ability to translate requirements into scalable automation solutions (local and cloud-based)
Ability to follow structured development, testing, and deployment processes

Ability to manage multiple tasks and meet deadlines in a fast-paced environment

Ability to collaborate effectively with technical and non-technical stakeholders

Strong willingness to learn and adapt to new tools, technologies, and cloud platforms

Requ…