Investigative Data Scientist/AI Engineer

About the role

You'll play a critical role in protecting market integrity by combining investigative analysis with AI and data science to support Nasdaq's Investigations and Enforcement program. You'll thrive in this position if you're analytically rigorous, intellectually curious, and passionate about applying cutting-edge technology to meaningful, real-world problems in a high-impact regulatory environment.

Responsibilities

• Investigate potential market manipulation and trading misconduct by applying advanced data analysis and AI-powered tools to complex, multi-source datasets.
• Design and build AI-powered solutions — including large language model applications, retrieval-augmented generation pipelines, and agentic workflows — to make investigations faster and more effective.
• Partner with attorneys, surveillance analysts, and cross-functional stakeholders to support active cases and deliver clear, well-reasoned investigative findings.
• Collaborate with external regulators and industry bodies to share insights, align on referrals, and contribute to broader market integrity efforts.
• Manage multiple concurrent matters with precision, maintaining organized and well-documented data in support of ongoing enforcement work.

Requirements

• Bachelor's degree in a science, technology, engineering, or mathematics field, or equivalent practical experience.
• 3+ years of professional experience in data science or AI engineering.
• Demonstrated ability to develop and apply analytics, machine learning techniques, and data visualizations to solve complex, ambiguous problems.
• Experience or genuine interest in equities or options markets and the regulatory landscape governing them.
• Excellent written and verbal communication skills, with the ability to present findings clearly to both technical and non-technical audiences.

Preferred Qualifications

• Advanced degree in a relevant field.
• Hands-on experience building with large language models, generative AI, or agentic systems.
• Familiarity with cloud-based AI and machine learning services and modern data engineering frameworks.

Schedule

This position offers a hybrid work environment with at least 3 days a week in-office, located in Washington D.C.

Benefits

Nasdaq offers a competitive rewards package including:

• Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company-paid life and disability plans, Generous paid time off.
• Prioritize Health: Comprehensive medical, dental, and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts.
• Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave.
• Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days.
• Grow Career: Education Assistance Program, Robust job skills training, and Professional development opportunities.

Pay

The base pay range for this role is $96,000 - $163,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive) and equity (long-term incentive). Exact compensation may vary based on skill set, experience, education/training, business needs, and market demands.