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Build and maintain features for Self Financial’s Credit Builder Account using Python, REST APIs, SQL databases, Git, and unit testing. Debug issues, develop secure integrations, collaborate with product, QA, DevOps, and senior engineers, and follow compliance requirements. The role emphasizes learning, code reviews, AI-assisted development, and gradually taking ownership of more complex software engineering work.

Lead strategy, roadmap, economics, pricing, and P&L for secured and unsecured credit card products. Manage Visa, issuer bank, vendor, and card network relationships; partner with Finance, Risk, Analytics, and Engineering; mentor product managers; oversee forecasting, regulatory compliance, underwriting collaboration, and customer graduation from credit-building products. Translate analysis into executive recommendations and guide portfolio growth, profitability, and customer experience.

Build, validate, deploy, and monitor predictive models that support credit and lending decisions. Partner with Engineering, Risk, Finance, and Product to translate business questions into modeling solutions, quantify business impact, evaluate data vendors, and improve decisioning. Mentor analysts and data scientists, conduct code and model reviews, and communicate findings to technical and non-technical stakeholders.

Build and validate predictive credit and lending models in Python, support production deployment and monitoring, investigate model behavior, measure business impact, and translate stakeholder questions into analyses. Collaborate with Risk, Finance, Product, and Engineering while learning data vendors, participating in code and model reviews, and developing technical and communication skills under senior mentorship.

Build and maintain Python backend services and REST APIs for Self Financial’s credit card products. Work with Flask, FastAPI, relational databases, third-party integrations, testing, security, monitoring, and scalable distributed systems. Collaborate with product, design, frontend, QA, and engineering teams to deliver reliable software, participate in code reviews, troubleshoot issues, document systems, and contribute to continuous improvement.

Lead data engineering initiatives supporting analytics, machine learning, and business intelligence teams. Design complex data warehouse and data lake models, manage large-scale SQL and Python ETL/ELT pipelines, maintain data quality and lifecycle standards, and translate strategic priorities into actionable projects. Provide technical leadership, mentorship, architectural guidance, project planning, and cross-functional collaboration with product, infrastructure, and architecture teams.

Build and operate Python REST services integrating CRM, payments, and internal systems. Diagnose production performance issues, optimize asynchronous I/O and caching, maintain Salesforce integrations, deploy cloud services, and use observability tools to trace bottlenecks. The role includes testing, architectural design, on-call production support, incident prevention, and cross-functional collaboration with engineering, DevOps, SRE, and product teams.