Risk Developer

3 weeks ago


New York, United States Keller Schroeder Full time

We welcome individual candidate and Corp-to-Corp (CTC) resume submissions. 6-month contract Hybrid – commutable distance from Baltimore, MD is preferred; remote will be considered Potential of conversion to full time employment

We are looking for a Risk Developer – Decision Engine

for our direct client. This is a 6-month, hybrid opportunity that is in a commutable distance from Baltimore, MD.

Our client is modernizing and scaling their leading platforms. They will be implementing credit strategies onto the target state decision engine. 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.

Requirements: Bachelor’s degree in computer science, engineering, or related statistical field. 7+ years in financial services or other organization with heavy use of strategy-based decision-making platforms. 5+ years’ experience using credit decision tools like Provenir, PowerCurve, IBM ODM, Drools, FICO Blaze, Zoot or other comparable decision engines (Provenir preferred). 3+ years of core programming knowledge (JavaScript, Python, etc.) to implement integration logic and a strong fundamental understanding of data structures. 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.

We forward to receiving your resume in PDF format


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