2 дня назад
Senior Associate, Technology Risk Advisory - AI Risk (AI)
77 700 - 146 900$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Associate, Technology Risk Advisory - AI Risk (AI): Supporting the assessment and governance of AI/ML and GenAI systems, cloud controls, data environments, and emerging technology initiatives with an accent on model lifecycle controls, responsible AI, and technology risk translation. Focus on evaluating IAM, encryption, logging, data governance, model documentation, and technical architectures while preparing clear client-facing risk reports.
Location: Dallas, United States
Salary: $77,700–$146,900 per year, plus discretionary bonus eligibility.
Company
provides professional services and technology risk advisory services to middle-market clients globally.
What you will do
- Support and execute risk and compliance assessments for AI/ML and GenAI systems, including model lifecycle controls, data governance, and responsible AI considerations.
- Evaluate IT, cloud, and data environment controls such as IAM, encryption, logging, monitoring, and network segmentation.
- Contribute to model documentation, testing artifacts, lineage tracking, change management, and AI governance activities.
- Assess emerging technology initiatives involving GenAI, automation, cloud-native architectures, and digital transformation.
- Work with engineering, data science, cybersecurity, model risk, and audit teams across the first and second lines of defense.
- Gather requirements, manage assigned tasks, prepare workplans, and produce clear client-facing assessments and reports.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Systems, Risk, or a related field.
- 2–5 years of experience supporting technology solution delivery, with exposure to AI/ML or GenAI and risk, compliance, audit, or regulated environments.
- Working knowledge of Python, modern ML/GenAI stacks, model development frameworks, embeddings, and RAG concepts.
- Hands-on experience contributing to model development, evaluation, or implementation, including AI systems deployed on cloud platforms.
- Understanding of APIs, data pipelines, testing, version control, CI/CD, IAM, encryption, data governance, and cloud environment controls.
- Ability to translate technical designs into risk and control implications and communicate complex concepts in clear business language.
Nice to have
- Certifications such as AAIA, AAISM, AIGP, CISA, CISSP, CCSP, CRISC, or other AI-focused credentials.
- Experience with AI risk frameworks, responsible AI principles, or cloud compliance programs.
Culture & Benefits
- Flexible scheduling to help balance personal needs with client service responsibilities.
- Competitive compensation and benefits package.
- Discretionary bonus based on firm and individual performance.
- Employment eligibility is subject to applicable U.S. requirements; entry-level candidates requiring current or future visa sponsorship are not intended to be hired.
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