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Investigative Data Scientist/AI EngineerNasdaq • United States
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Investigative Data Scientist/AI Engineer

Nasdaq
  • US
    United States
  • US
    United States
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Über

Investigative Data Scientist /AI Engineer
As an Investigative Data Scientist /AI Engineer, 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. Key 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. Required Qualifications
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. This position will be located in Washington D.C., and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates. Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities. We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated. We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process. What We Offer We're proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq's overall success. The base pay range for this role is $95,000 - $166,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands. Nasdaq's programs and rewards are intended to allow our employees to: 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
  • United States

Sprachkenntnisse

  • English
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