FAST Developer

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United States
1 day ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Unit Testing Fraud Prevention and Detection

Job description

  • Analyzing business requirements, designing functionalities, implementing changes, and unit testing to validate the changes
  • They will be working with the Product Owner and the Business Analyst, collaborating on the workflows and logic changes needed in the platform.
  • FAST stands for Flexible Architecture, Simplified Technology, is designed to help life insurance and annuity companies modernize their operations.

Heres a simple breakdown:

Streamlined Operations: FAST helps insurers automate tasks, optimize workflows, and reduce inefficiencies caused by outdated systems.

Scalability: The platform allows insurers to easily scale their operations to meet changing market demands.

Innovation: FAST supports the development of new products and services, enabling insurers to stay competitive.

Enhanced Customer Experience: By integrating advanced data analytics and automation, FAST improves customer interactions and satisfaction.

Fraud Detection: The platform helps identify and prevent fraudulent claims, ensuring a more secure process

Requirements

  • 1-3 years of experience doing FAST Business Configuration, especially for Life Insurance Functionality
  • Strong SQL querying skills to analyze the FAST database and troubleshoot issues
  • Ability to analyze business requirements.
  • Ability to design functionality in FAST, implement, and unit test.

Plusses:

  • Experience with orchestrations, decision tables, XML, XSLT, XLSX.
  • Experience with Node.js

Day to Day:

  • This candidate will be joining a brand-new team to help deploy the new insurance products on the FAST Platform.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:20 min

High-speed data use cases in financial services

Tim Faulkes · LIVE

1:18 min

Detecting answering machines and preventing automated voice fraud

Marius Obert Marius Obert · Coffee With Developers

2:55 min

Understanding the chore and effort of unit testing

Ewald Ewald · World Congress 2024

5:39 min

Two-step fraud detection with rules and machine learning

Doraly Chezeu Sukem Doraly Chezeu Sukem +1 · World Congress 2024

4:57 min

Missed edge cases in standard unit testing

Lars Hupel · World Congress 2023

2:31 min

Implementing iterative testing and partnering with IT departments

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

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