SIFA Specialist (Advanced Fraud Analytics and Computer Forensics)

Job Description Summary

Development a specialized audit through AI automation of data analytics implement cutting edge tools

Job Description

• Develop a specialized Audit Large Language Model (LLM) leveraging Retrieval-Augmented Generation (RAG) and open-source LLMs (e.g. Llama Mistral AI)
• Enable Internal Audit processes such as audit preparation data analytics audit execution report generation and compliance with applicable laws through innovative AI solutions
• Drive full automation for repetitive tasks in the Internal Audit Division using Python R or other programming languages
• Design and implement tools to enhance productivity and efficiency within the audit lifecycle
• Continuously improve Internal Audit and investigation workflows through automation and/or machine learning techniques
• Innovate processes to ensure robustness efficiency and compliance
• Identify trends and opportunities to innovate in both methodologies and technologies
• Evaluate and implement cutting-edge tools and techniques in data science machine learning and AI to boost performance and business value
• Stay up to date on advancements in large language models their capabilities limitations and best practices applying these insights to improve internal systems
• Perform in-depth analysis of large datasets to identify red flags and anomalies enhancing fraud detection and risk mitigation capabilities

Job Requirements

• Master's degree in Computer Science Data Science Mathematics Statistics or a related quantitative field
• At least 3-5 years' experience as a Machine Learning or AI Engineer
• Has been involved in LLM implementation at least 1 time from start to finish
• Advanced proficiency with Python Java and R code writing
• Extensive knowledge of ML frameworks libraries data structures data modelling and software architecture
• In-depth knowledge of mathematics statistics and algorithms
• Superb analytical and problem-solving abilities
• Great communication and collaboration skills
• Excellent time management and organizational abilities