Rules Developer
Job Posting for Rules Developer at Calibro Corp.
This is a hands-on role which provides an opportunity to solve complex business, data, and technical challenges. This individual will work in a dynamic, agile team that's responsible for design, build and maintenance of decision rule engines to enable business objectives. This position will require you to familiarize yourself with credit policy, existing credit decisioning rules and associated data.
Responsibilities:
• Collaborate with product managers, credit analysts, and engineers to transform credit policy strategies into testable solutions within a low-code decision platform.
• Invent and implement low-code solutions and automated tests using various tools and frameworks as part of a scrum team.
• Provide research, analysis, and problem resolution in an accurate and timely manner.
• Develop technical documentation, test cases, process diagrams, and demos for credit policy implementations.
Qualifications:
• Seven years in financial services or other organization with heavy use of strategy-based decision-making platforms
• A minimum of five years' experience using two or more credit decision tools like Provenir, PowerCurve, IBM ODM, Drools, FICO Blaze, Zoot or other comparable decision engines
• A minimum of three years of core programming knowledge (JavaScript, Python etc.) to implement integration logic and a strong fundamental understanding of data structures.
• Highly proficient in SQL
• Exposure to machine learning execution and related analytical tools
• Knowledge of cloud deployment processes, and experience working in a mature DevOps environment
• Analytical, curious, open-minded, and passionate about exploring and solving problems.
• Familiar and comfortable with agile practices like stand-ups, retrospectives, and demos.
• Excellent communication skills with both technical and non-technical team members
• Bachelor's degree in computer science, engineering, or related statistical field
Responsibilities:
• Collaborate with product managers, credit analysts, and engineers to transform credit policy strategies into testable solutions within a low-code decision platform.
• Invent and implement low-code solutions and automated tests using various tools and frameworks as part of a scrum team.
• Provide research, analysis, and problem resolution in an accurate and timely manner.
• Develop technical documentation, test cases, process diagrams, and demos for credit policy implementations.
Qualifications:
• Seven years in financial services or other organization with heavy use of strategy-based decision-making platforms
• A minimum of five years' experience using two or more credit decision tools like Provenir, PowerCurve, IBM ODM, Drools, FICO Blaze, Zoot or other comparable decision engines
• A minimum of three years of core programming knowledge (JavaScript, Python etc.) to implement integration logic and a strong fundamental understanding of data structures.
• Highly proficient in SQL
• Exposure to machine learning execution and related analytical tools
• Knowledge of cloud deployment processes, and experience working in a mature DevOps environment
• Analytical, curious, open-minded, and passionate about exploring and solving problems.
• Familiar and comfortable with agile practices like stand-ups, retrospectives, and demos.
• Excellent communication skills with both technical and non-technical team members
• Bachelor's degree in computer science, engineering, or related statistical field
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