Job Description
Remote/Hybrid position in Miami Lakes, Tampa, Atlanta or Dallas SUMMARY: FCC RPA Developer & Systems Analyst works to improve business efficiency and productivity by initiating, designing, coding, developing, testing and documenting modules for RPA purposes. Additionally, an FCC RPA Developer & Systems Analyst evaluates business requirements for information delivery channels by coordinating with the AML/BSA, Fraud and Compliance department users to define the business objective, requirements, data availability and data validation for their environments.
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties and special projects may be assigned.
- Work closely with AML/BSA, Fraud and Compliance departments to analyze and document data flows, requirements and business models.
- Document system and data requirements for AML/BSA, Fraud and Compliance systems.
- Document and translate business requirements into system specifications, create and maintain Meta data documents, map documents according to company policies and templates.
- Identify data usage inconsistencies within the enterprise for AML/BSA, Fraud and Compliance departments.
- Work closely with enterprise data architects, ETL developers, and a variety of end users to ensure technical compatibility and user satisfaction.
- Understand standard programming language(s) and be able to complete reports from data systems.
- Understand client server architecture and components for application server/web services.
- Understand Robotic Process Automation (RPA) standards and methodologies and apply those standards to Bot development (defining, designing, building, support).
- Map and translate processes into automated steps.
- Configure, test and deploy automation with integration with internal and external sources.
- Develop and maintain documentation and requirements throughout the development lifecycle.
- Ensure that jobs and automation processes are running as expected.
- Responsible for ongoing monitoring and measurement of bot performance and enhancements as required.
- Develop and execute quality assurance of deliverables.
- Develop complex programs and ad hoc queries by utilizing enterprise data to fulfill AML/BSA, Fraud and Compliance data analysis requirements.
- Develop and maintain enterprise metadata dictionary in conjunction with data governance for AML/BSA, Fraud and Compliance department.
- Participate in peer-reviews to ensure project architecture integrity is maintained.
- Stay abreast of new trends and developments and updates job knowledge by participating in educational opportunities; read professional publications; maintain personal networks; participate in professional organizations.
- Keeps abreast of regulations, industry, and information technology changes.
- Works with minimal supervision.
- Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
- Adheres to Bank policies and procedures and completes required training.
- Identifies and reports suspicious activity.
EDUCATION Bachelor's Degree Computer Science, Data Science, Management Information Systems or related field required Or
Experience - Comparable experience in, Computer Information Systems and/or Engineering with the appropriate emphasis in data analytics required
- 2+ years of hands experience in RPA Development required
CERTIFICATES, LICENSES, REGISTRATIONS - Certified Anti-Money Laundering Specialist (CAMS) preferred Or
- Anti-Money Laundering Certified Associate (AMLCA) preferred
Knowledge, Skills And Abilities - Strong technical and communication skills, both written and verbal including the ability to present technical details to non-technical audiences.
- Maintains strong attention to detail in high-pressure situations.
- Hands on experience developing with cognitive platforms (experience with UiPath preferred).
- Experience developing and consuming APIs (experience with Apigee preferred).
- Solid knowledge of Structured Query Language (SQL), Oracle programming language, data mining techniques, and Business Intelligence Tools.
- Ability to test and verify data according to the requirements.
- Solid understanding of business practices with fundamental understanding of project management concepts and techniques.
- Knowledge of and experience with artificial intelligence and machine learning.
- Solid understanding of data warehouse and dimensional modeling concepts.
- Experience with dashboards, reporting and analytics tools.
- Ability to take abstract thoughts and translate them into process and business logic.
- Solid Understanding of ERM and Financial monitoring systems inclusive of AML platforms and Financial Crimes systems.
- Other duties as assigned by management
Job Tags
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