Capital Bank, N.A.Remote
Decision Engine Developer
United States of America
Full Time
4 hours ago
$115,000 - $145,000 USD
No H1B
Key skills
Low-code decision engine platforms GDS LinkLow-code decision engine platforms ProvenirLow-code decision engine platforms DecisionsLow-code decision engine platforms OscilarRisk management strategy implementation in FinTech/bankingCredit risk business domainObject-oriented programmingJavaScript (NodeJS)Credit and fraud risk models RCredit and fraud risk models PythonCredit and fraud risk models SASData analysis SQLData analysis ExcelData analysis PowerBIJavaScriptPythonSQLRNodeJSRisk Management
About this role
Capital Bank, N.A. is a publicly traded company offering commercial and consumer banking services. The Decision Engine Developer will design, build, and test eligibility and decision strategies within a low-code decision engine platform, collaborating with business and technical teams to ensure effective implementation and optimization of decisioning processes.
Responsibilities:
- Translate business requirements into decision engine rules and workflows
- Build and maintain rulesets within the decision platform
- Implement automated processes to improve efficiency and consistency
- Perform comprehensive unit, integration, and regression testing
- Validate that decision outcomes align with expected results and business intent
- Troubleshoot and debug issues within rules, data flows, and integrations
- Support system performance monitoring and issue resolution
- Assist in identifying risks, gaps, and improvement opportunities within strategies
- Contribute to performance tracking, reporting, and ongoing optimization efforts
- Partner with business stakeholders to understand detailed requirements and expected outcomes
- Work with technical teams to apply platform best practices and ensure proper implementation
- Communicate progress, issues, and results clearly to stakeholders
- Manage assigned deliverables and contribute to project timelines
- Ensure work is completed accurately, on time, and in alignment with requirements
- Support releases and deployments, including validation and post-implementation checks
- Provide guidance to junior team members on development and testing best practices
- Contribute to documentation, standards, and reusable components
Requirements:
- 3-5 years risk management strategy implementation experience in a FinTech / banking environment
- Bachelor's degree in computer science, business administration, mathematics, engineering, or related quantitative discipline
- 3-5 years low-code decision engine system experience (GDS Link, Provenir, Decisions, Oscilar, etc.)
- Object-oriented programming expertise
- Experience implementing JavaScript in a back-end environment (e.g. NodeJS)
- Understanding of credit risk business domain
- Master's degree in business, mathematics, engineering, or related discipline
- Experience with implementing credit and fraud risk models (R, Python, SAS)
- Data analysis experience (SQL, Excel, PowerBI)