Lead Business Analyst - Fraud

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January 25

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Neural Technologies

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Artificial Intelligence • Telecommunications • B2B

Neural Technologies is a global leader in providing AI-driven business solutions, specializing in revenue protection, data integration, and signaling solutions for Communication Service Providers and Mobile Money Service Providers. With over three decades of industry expertise, the company focuses on fraud management, revenue and business assurance, and credit risk management using cutting-edge AI and machine learning technologies. Neural Technologies is known for its adaptable, scalable solutions, helping enterprises protect and grow their revenue. Their offerings include streaming data analytics, complex event processing, and various integration services to unlock new business opportunities.

201 - 500 employees

Founded 1990

🤖 Artificial Intelligence

📡 Telecommunications

🤝 B2B

📋 Description

• Collaborate with business stakeholders to understand their business requirements. • Design comprehensive and complex solutions by leveraging our suite of products to address Telco RAFM needs, in an end-to-end perspective (from the data feed, mediation, anti-fraud configuration and data storage). • Create solution architectures and design frameworks that align with our services/products and industry best practices to meet customer requirements. • Ensure scalability, performance, security and integration capabilities are considered during solution design. • Work closely with internal and external project stakeholders to validate and refine solution designs. • Conduct in-depth requirements gathering sessions with customers to understand their business needs. • Analyse and document business requirements, translating them into functional and technical specifications. • Ensure all risks, assumptions and dependencies are correctly mapped and covered for the SoW and LoE. • Collaborate with business analysts and cross-functional teams to identify process inefficiencies and propose optimized solutions. • Perform gap analysis and feasibility studies to ensure the proposed solutions address the identified business needs. • Collaborate with development teams to ensure accurate and timely implementation of Telco RAFM solutions. • Provide technical guidance and support during solution implementation, including system integration testing (SIT) and user acceptance testing (UAT). • Participate in solution deployment activities, including planning, tuning, and monitoring for package releases. • Conduct solution configuration and customization based on customer requirements. • Proficiency in data analysis tool, data mining and reporting tools like SQL, Python, R • Ability to work with large data sets to identify patterns, anomalies, and discrepancies. • Familiarity with data visualization tools (e.g., MS SRSS, Power BI, Tableau, QlikView) to create dashboards and reports for fraud detection system Fraud Management System. • Understanding of how to configure, customize, and optimize fraud detection and prevention tools, including transaction monitoring, identity verification, and alert management.

🎯 Requirements

• Bachelor's degree in a relevant field such as Telecommunications, Engineering, Computer Science, or Business Administration. • 10+ years working experience within the telecom industry. • Proven experience as a Business Analyst, Solution Designer, Solution Architect, Technical Lead, Fraud Specialist, or correlated role. • Strong business analysis skills, including requirements gathering, process analysis, and documentation. • Proficiency in solution design and architecture, with a deep understanding of telecom systems and technologies. • Great communication and presentation skills across different levels and sorts of stakeholders (internal and external). • Excellent analytical and problem-solving abilities to identify customer’s needs, manage fraud risks, and propose effective solutions. • Consultancy and customer-oriented mindset. • Ability to work in a fast-paced and dynamic environment, managing multiple priorities and deadlines. • Knowledge of industry best practices and regulatory requirements related to Telcom RAFM. • Familiarity with our suite of products or similar telecom software solutions is advantageous. • Experience in the telecommunications industry, particularly in RA and Fraud Management Systems, is highly desirable.