Description:
Treasury Cube specializes in Treasury Management Systems (TMS), helping businesses streamline financial operations such as bank account management, cash flow forecasting, risk management, and compliance solutions. Our AI-powered platform enhances financial operations with capabilities like fraud detection, reconciliation, and forecasting.
We are expanding our AI team and seeking a skilled AI Developer (Python & C#) to drive AI integration within our solutions, making treasury functions smarter and more efficient.
Develop, implement, and optimize AI/ML models using Python and C# for financial applications.
Work on Gen AI-based forecasting models, such as cash and sales forecasting, using scikit-learn, Prophet, or TensorFlow.
Design AI-powered fraud detection systems, account reconciliation, and variance analysis.
Build and support AI agents and intelligent assistants for internal and client-facing applications.
Develop AI-driven support features to enhance user experience.
Integrate AI into workflows and automation pipelines for business efficiency.
Collaborate with data scientists, domain experts, and engineering teams to deliver production-ready AI features.
Gen AI-based cash or sales forecasting.
AI for fraud protection and financial security.
AI-driven reconciliation tools for financial data matching.
Variance analysis (actual vs forecast) using AI.
Developing AI agents and smart help systems.
AI automation for business processes and digital transformation.
Embedding AI in applications for workflow automation.
Experience with Azure AI services, ML.NET, or similar platforms.
Understanding of corporate finance, treasury workflows, or ERP systems.
Opportunity to work on real AI use cases in fintech.
Flexible and hybrid working model.
A fast-paced, collaborative environment with exposure to new technologies.
A chance to contribute to an AI-powered treasury platform making a real impact.
Organization | Treasury Cube |
Industry | IT / Telecom / Software Jobs |
Occupational Category | AI Developer |
Job Location | Islamabad,Pakistan |
Shift Type | Morning |
Job Type | Full Time |
Gender | No Preference |
Career Level | Intermediate |
Experience | 2 Years |
Posted at | 2025-03-29 6:44 am |
Expires on | 2025-05-13 |