Decision Engine Developer

Stelle nicht auf LinkedIn

🕒 vor 5 Tagen

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Capital Bank

Capital Bank

51 - 200 Mitarbeiter

Gegründet 2008

🏦 Bankwesen

💸 Finanzen

Banking • Finance

Die Capital Bank ist eine Bank, die sich auf die Betreuung spanischsprachiger Kunden konzentriert und den Slogan „¡La Capital de tus Finanzas! “ verwendet. Das Unternehmen ist auf LinkedIn der Branche Banken zugeordnet und die LinkedIn-Beschreibung legt Wert auf die Organisationskultur — sie hebt Wahrnehmungen, Werte, Einstellungen und Interaktionsmuster innerhalb der Organisation hervor. Keine Produkt-, Größen- oder Vertriebsdetails sind in den verfügbaren Informationen enthalten.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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

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