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AVP - Data Science (NTS)

Nasdaq Open
London Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Nasdaq. London · full-time · no salary stated · we estimate £70,750–£131,900.

Estimated pay

Nasdaq has not published a salary for this role. The figure below is our estimate, not theirs.

£70,750 – £131,900
What the middle half of mid-level data science roles in London paid, among postings that did state a salary.
Worked out from 8 postings that stated pay, median £91,250. Last updated Oct 26, 2026.
RoleData Science
SeniorityMid-level
LocationLondon
EmploymentFull-time
PostedOct 9, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Set the AI direction and roadmap for Trade Surveillance, keeping it tied to product and business priorities
  • Work with product and engineering teams to turn plans into AI tools for detection, investigation and automation
  • Lead a team across AI engineering, data science and research, while building strong delivery practices
  • Put production controls in place for model deployment, monitoring, explainability and governance
  • Bring AI capabilities to internal stakeholders and external clients, and integrate them into surveillance workflows

What you bring

  • Substantial leadership experience in AI, machine learning or advanced analytics, including growing strong teams
  • A record of setting AI strategy and delivering solutions at scale in complex enterprise settings
  • You can explain advanced AI topics to technical and non-technical audiences, including clients
  • You have worked across strategic planning and hands-on delivery, with knowledge of AI governance and regulated environments

Who this fits

This role suits a senior AI leader who can set direction while staying involved in delivering production systems and guiding a multidisciplinary team. It is based in London, with at least three office days each week in a hybrid arrangement.

From the employer

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.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.