About the role
As a Decision Engineer within the Decisioning team, you will design and implement automated decision systems that translate analytical models and business rules into scalable, production-ready logic. Working at the intersection of data science and engineering, you will build and optimize decision flows, integrating real-time data and predictive models to drive consistent, explainable outcomes.
You will contribute across the full decisioning lifecycle, from development and deployment to monitoring and improvement ensuring performance, reliability, and governance. Collaborating with cross-functional teams (Decision Scientist, Data Engineers, Business Analysts), you will help deliver efficient, auditable decision solutions that enable real-time, data-driven business decisions.
Our ideal candidate has:
6+ years of experience in any Engineering role (Software, Data, ML/AI, Analytics) or in any Data role (Data Science or Decision Science)
Master's degree or higher.
Experience with any of the credit bureau's would be preferred.
Language and frameworks experience: Python or C#, SQL, Rest API, JSON
Decisioning platform experience: SAS Viya Decision Manager, Drools, IBM ODM, Pega or equivalent.
Data and cloud experience: AWS or Azure or GCP
Integration experience: API gateway, Postman, microservices architecture
Automation & CI/CD experience: Jenkins, GitHub, Docker, Kubernetes
Testing experience: NUnit/xUnit, PyTest, regression harnesses for decision logic
Monitoring experience: Grafana, Prometheus, or custom dashboards
Competencies:
Systems thinking
Collaboration
Analytical skills
Communication skills
Adaptability
Education
Completed a master's degree or higher