A visionary CTO to lead our client's technological innovation and scale our fraud detection capabilities. The ideal candidate will shape our technical strategy and drive the evolution of our AI-powered fraud prevention solutions.

Strategic Responsibilities:

- Architect company's technical vision and roadmap for next-generation fraud detection

- Drive innovation in fraud prevention using cutting-edge AI/ ML technologies

- Lead the development of proprietary fraud detection algorithms and models

- Scale our platform to handle growing transaction volumes across Banking and Insurance Sectors.

- Build strategic technology partnerships with key stakeholders in the fraud prevention ecosystem

- Guide product development to address emerging fraud patterns and threats

- Oversee cyber security strategy and data protection measures

Technical Leadership:

- Design and evolve company's core fraud detection engine and needs to have a development background

- Needs to have successfully shipped a product

- Lead the development of real-time transaction monitoring systems

- Implement advanced analytics for pattern recognition and anomaly detection

- Develop ML models for predictive fraud detection

- Establish technical standards and best practices

- Guide the integration of emerging technologies (blockchain, biometrics, etc.)

- Ensure platform scalability, reliability, and performance

- Oversee multiple technology teams including:

* AI/ML Research

* Platform Engineering

* Data Science

* Security

* DevOps

* Quality Assurance

Required Technical Expertise:

- Deep expertise in ML algorithms, particularly in:

* Anomaly Detection

* Pattern Recognition

* Predictive Modeling

* Natural Language Processing

* Deep Learning

- Experience with:

* Large-scale distributed systems

* Real-time data processing

* Cloud infrastructure (AWS/Azure/GCP)

* Big data technologies (Spark, Hadoop)

* Modern development frameworks

* API design and microservices

* Security protocols and standards

Industry Experience:

- 15+ years in technology, with at least 8 years in fraud detection/prevention

- Proven experience in banking, insurance, or fintech

- Strong understanding of:

* Financial transaction systems

* Payment processing workflows

* Regulatory compliance (PCI-DSS, GDPR, RBI guidelines)

* Risk management frameworks

* Industry fraud trends and patterns