Lead AI & Technology Risk Auditor

🔥 0 minutes ago

🏄 California – Remote

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💵 $98.1k - $150.5k / year

⏰ Full Time

🟠 Senior

🔎 Auditor

🦅 H1B Visa Sponsor

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Logo of Allstate

Allstate

10,000+ employees

Founded 1931

💸 Finance

💰 Post-IPO Equity on 2014-01

Insurance • Finance

Allstate is an industry leader in providing insurance solutions, focusing on home, auto, device, and identity protection. With a commitment to customer well-being, Allstate aims to instill peace of mind and financial security for its customers. The company also emphasizes community impact and sustainability through various initiatives, showcasing their dedication to social responsibility and positive change.

📋 Description

• Independently lead complex, agile technology and business audits with objectivity • Manage the creation and execution of audit programs, including drafting testing plans and acceptance criteria, performing walkthroughs, identifying controls, and executing testing procedures for complex processes • Apply critical thinking data analytics, and AI-assisted audit techniques to evaluate evidence, identify root causes, assess risk levels, and recommend control enhancements or process improvements • Leverage tools such as Python, SQL, or visualization platforms to perform full-population testing, anomaly detection, and pattern analysis • Communicate effectively with audit clients through sprint reviews and audit reports • Build and maintain strong, trust-based relationships with IT and business leaders • Provide coaching and feedback to audit team members

🎯 Requirements

• 5 or more years of experience • 1 or more years of experience auditing, implementing, or assessing AI/ML systems, data governance frameworks, or advanced analytics platforms (Preferred) • Core certifications (CPA, CA, CISA, CIA, or CFE) are required for all new Lead Consultant and above roles, and must be obtained within 18 months if not already held • AI or data-related certifications are a plus (e.g., ISACA Certificate in AI Fundamentals, ISACA Advanced in AI Audit [AAIA], AWS/Azure AI certifications, or relevant data science credentials) • Familiarity with AI/ML concepts including supervised/unsupervised learning, neural networks, natural language processing, and generative AI architectures • Working knowledge of Python, SQL, or similar tools for data extraction, analysis, and visualization • Familiarity with or high interest in AI governance principles, including fairness, accountability, transparency, explainability, and data privacy

🏖️ Benefits

• Health insurance • 401(k) matching • Connectivity reimbursement for internet • Comprehensive technology setup including laptop, monitors, headset, keyboard, and mouse

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