Description
We are seeking a Senior AI/ML Telecom Fraud Specialist to lead our defense against sophisticated telecom fraud. In this pivotal role, you will architect and deploy next-generation, AI-driven fraud detection frameworks to protect company revenue and maintain customer trust. You will be responsible for the entire lifecycle of AI/ML models targeting threats like SIM box, roaming, and OTT fraud. This position involves driving advanced predictive strategies, optimizing our core Fraud Management Systems (e.g., Subex, Mobileum), and mentoring a team of skilled analysts. You will collaborate closely with IT, Data, and Business teams to integrate cutting-edge technologies and ensure our fraud prevention capabilities are best-in-class. Your expertise will be crucial in assessing risks associated with new products and maintaining 24/7 system integrity. This is a strategic role focused on innovation, cost optimization, and making a significant impact on our bottom line by mitigating fraud-related losses.
Requirements
1. Over 10 years of experience in telecom fraud management, with expertise in diverse cases like SIM box, roaming, and OTT fraud.
2. Demonstrated experience managing the full lifecycle of AI/ML models, from conception and design to deployment and maintenance.
3. Hands-on expertise with industry-standard Fraud Management Systems (FMS) such as Subex, Mobileum, or WeDo.
4. Advanced proficiency in AI/ML programming languages and libraries, including Python, R, TensorFlow, and PyTorch.
5. Strong experience with big data and cloud technologies, including Hadoop, AWS, Azure, or GCP.
6. In-depth knowledge of telecom network technologies, including GSM, LTE, and 5G.
7. Proven ability to develop and implement advanced fraud strategies using predictive analytics and anomaly detection.
8. Exceptional leadership and interpersonal skills for mentoring teams and collaborating with cross-functional departments.
Desirable
1. A Master's degree or Ph.D. in Computer Science, Data Science, or a related quantitative field.
2. Professional certifications in AI/ML, data science, or fraud risk management (e.g., CFE).
3. Experience with both Operations Support Systems (OSS) and Business Support Systems (BSS) in a telecom environment.
4. Published research or speaking experience in the fields of AI, machine learning, or fraud prevention.
5. Experience in a 24/7 operational environment requiring system monitoring and timely incident response.