AVP - Data Science (NTS)
Nasdaq
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This role on the market
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What science roles keep asking for: Python (30%), Machine learning (29%), SQL (16%), Java (13%) — counted across their open postings here.
Machine learning jobs · Product management jobs · SaaS jobs
Nasdaq has 176 open roles listed here.
- Data Analyst - Surveillance
- Systems Operations Specialist
- Specialist - Cloud Security Engineer
- Economic and Statistical Research Director
- Senior Client Service Analyst
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for science roles keep coming back to Python, Machine learning, SQL, Java. Practise those questions before you sit with Nasdaq.
Questions you are likely to be asked
- Why do you want to join Nasdaq?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
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Practise the AVP - Data Science (NTS) at Nasdaq interview free →As a senior leader - AVP of Data Science (NTS) at Nasdaq, you will be accountable for shaping and executing strategies that advance our position as a global technology company powering markets and economies. This role requires a proven ability to set direction, influence across borders, and deliver measurable business impact in complex, regulated environments. You’ll thrive in this position if you bring executive presence, strategic clarity, and the ability to mobilize diverse teams towards a common vision. Nasdaq is a vibrant and entrepreneurial company where everyone is encouraged to take initiative, challenge the status quo, and take intelligent risks. We want everyone to feel welcome and bring their authentic self to work. Every day, we are building a culture where we all feel connected, supported, and empowered. Key Responsibilities Define and execute the AI strategy and roadmap for Nasdaq Trade Surveillance, ensuring alignment with product and business priorities Partner with Product Management and Engineering to translate strategic vision into scalable AI-enabled capabilities across detection, investigation, and automation Act as a senior AI leader across the organization, influencing stakeholders across Product, Engineering, and Sales while representing AI capabilities to clients and external audiences Lead and scale a high-performing, multidisciplinary team spanning AI Engineering, Data Science, and Research, fostering a culture of innovation and excellence Establish robust, production-grade AI practices, including model deployment, monitoring, explainability, and governance aligned with enterprise standards Drive integration of AI into core surveillance workflows, ensuring scalable, compliant solutions that strengthen Nasdaq’s ability to detect and investigate market abuse Required Qualifications Extensive leadership experience in AI, machine learning, or advanced analytics, with proven success in building and scaling high-performing teams Demonstrated track record of defining and delivering AI strategies and solutions at scale within complex, enterprise environments Strong executive presence with the ability to communicate complex AI concepts clearly to both technical and non-technical audiences, including external stakeholders and clients Experience operating across both strategic and hands-on domains, contributing to innovation while leading delivery of production-grade solutions Deep understanding of governance, compliance, and working within regulated environments, with experience establishing AI governance or model risk frameworks Exceptional problem-solving capabilities, with a proven ability to navigate ambiguity and deliver impactful outcomes Preferred Qualifications Experience in financial markets, trading, or trade surveillance environments Familiarity with product development lifecycles and SaaS-based technology platforms Exposure to enterprise AI governance, risk, or regulatory functions This position is based in London and offers a hybrid work environment with at least 3 days per week in-office, subject to change. Benefits & Rewards We offer a competitive, well-rounded rewards package designed to support the financial, physical, and emotional well-being of our employees and their families (where applicable). The actual pay depends on factors like your skills, experience, qualifications, and location. In addition to base pay, we offer short-term incentives (bonus or commission) and long-term incentives (equity), where applicable. We utilize a structured job architecture and career framework to ensure growth opportunities are transparent, fair, and accessible to all employees. The pay range you see reflects the full salary band for this job level, including room for progression over time. For more information, visit Nasdaq Benefits & Rewards Career Page Come as You Are 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.
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Listed on workday · posted 2026-08-28. ApplySarthi collects openings and links to application pages; the role is advertised by Nasdaq, not by us.