Decision Engine Developer

Job not on LinkedIn

🔥 30 minutes ago

🏛️ District of Columbia, Florida, +6 more states – Remote

🏛️ District of Columbia – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🌲 North Carolina – Remote 🦀 Maryland – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote ⚔️ Virginia – Remote

💵 $115k - $145k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🖥 Software Engineer

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Capital Bank

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2008

🏦 Banking

💸 Finance

Banking • Finance

Capital Bank is a bank focused on serving Spanish-speaking customers, using the tagline “¡La Capital de tus Finanzas! ”. The company is identified on LinkedIn under the Banking industry and its LinkedIn description emphasizes organizational culture — highlighting perceptions, values, attitudes and interaction patterns within the organization. No product, size, or distribution details are provided in the available information.

📋 Description

• 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.) • Master’s degree in business, mathematics, engineering, or related discipline preferred • Experience with implementing credit and fraud risk models (R, Python, SAS) preferred • Data analysis experience (SQL, Excel, PowerBI) preferred

🏖️ Benefits

• Comprehensive benefits package including Medical, Dental, Vision, Company Paid Life Insurance, Disability Insurance, and more? • Company Contributions to your 401k - Regardless of your contribution • Employee Perks: Paid Parental Leave, Employee Recognition Program, Leadership Program, Tuition Reimbursement Program, Employee Bank Checking Account, and much more! • Generous Paid Time Off and Paid Holidays - Including Paid Charity Hours to support volunteer opportunities