AVP - Data Science (NTS)
United Kingdom - London
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDefine and execute the AI strategy and roadmap for trade surveillance
Lead and grow a multidisciplinary AI engineering, data science and research team
Partner with Product and Engineering to build scalable AI capabilities for surveillance
Set production-grade AI practices for deployment, monitoring, explainability and governance
Bring AI into core surveillance workflows to detect and investigate market abuse
From the employer’s posting
Define and execute the AI strategy and roadmap for Nasdaq Trade Surveillance
Lead and scale a high-performing, multidisciplinary team spanning AI Engineering, Data Science, and Research
Partner with Product Management and Engineering to translate strategic vision into scalable AI-enabled capabilities across detection, investigation, and automation
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
What you’ll bring
All qualificationsCore experience
- 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
Preferred experience
- Experience in financial markets, trading, or trade surveillance environments
- Familiarity with product development lifecycles and SaaS-based technology platforms
Qualification wording
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
Experience in financial markets, trading, or trade surveillance environments
Familiarity with product development lifecycles and SaaS-based technology platforms
Posting record
Report an errorOpen 5 monthsWe first saw this posting 154 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 29, 2026 · 154 days ago
- Recorded sightings
- 242
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Job description
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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- Pay
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- Location & working pattern
United Kingdom - London
- 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
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