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Surveillance & Market Abuse Technology, Financial Crime - Manager

Job in Greater London, London, Greater London, EC1A, England, UK
Listing for: PWC
Full Time position
Listed on 2026-01-18
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst
Job Description & How to Apply Below
Location: Greater London

About Our Team

PwC is strengthening its capabilities in Financial Services Market Abuse & Surveillance, in response to demand for trade surveillance technology expertise.

Our UK Financial Crime team works with clients to investigate and remediate issues, transform financial crime functions and prepare for, and respond to, regulation and regulatory scrutiny. Our team comprises financial services industry, regulatory, policy and technology expertise.

This expertise allows us to provide responsive and robust investigations driven by analytics, remediation built around technologies to improve efficiency and a data-driven technology responses to regulation and regulation enforcement.

We are looking for an experienced senior associate or manager with expertise in the domain of market abuse and surveillance. Specifically, we are seeking an individual with hands on experience working with trade and order transactional data, familiarity with the implementation of surveillance vendor technology, knowledge of MAR and MiFID II.

You’ll bring advanced analytical skills
, a keen interest in technology, and the leadership needed to shape our growing market abuse and surveillance offering.

This role is ideal for someone who enjoys solving complex data challenges, working directly with clients, and managing teams.

We have ambitious plans and are looking for individuals who can expand our data and technology capabilities while strengthening our surveillance services.

We support our clients with a range of services:

  • Vendor evaluations and support for surveillance strategic roadmaps
  • Market abuse surveillance implementation and calibration (e.g. detection scenarios, instance identification, parameter setting and tuning)
  • Data driven surveillance effectiveness review and optimisation
  • Reviewing end-to-end data and process flow supporting surveillance implementations
  • Holistic surveillance approach and advice across, voice, eComms, trades and orders
  • Assistance in responding to regulatory enquiries
Your Main Responsibilities
  • Supporting the scoping and delivery of complex data driven surveillance engagements including surveillance solution implementation
  • Deployment of advanced analytical techniques to risk score alerts and reduce volumes of trade surveillance false positive populations
  • Actively contributing on client-facing project work, being self-starting and motivated to produce the required high standard of deliverables
  • Supporting the development of Financial Crime propositions and delivery methodologies
  • Input to the development of the technical architecture behind our surveillance offerings
  • Building and maintaining relationships both internally within the PwC network and externally with clients
  • Supporting sales through work on bids, proposal responses and developing opportunities
Essential skills and experience
  • Understanding of the relevant Market Abuse regulations in the UK, US, and ideally in other jurisdictions
  • Hands-on experience implementing or optimising surveillance tech (e.g. Trading Hub MAST, Smarts, Scila, Actimize, KX)
  • Proficiency in data analytics tools and techniques (e.g. Python, PySpark, vector-based methods)
  • Experience working with various data storage and processing engines (row, column, key-value)
  • Experience of analysis and sourcing data using relational, and No

    SQL sources
  • Experience in data visualisation using tools such as Power

    BI, Tableau, D3, or Bokeh.
  • Ability to clearly articulate technical approaches and concepts to clients and non-technical audiences
  • Track record of data and systems implementation project delivery and project teams including ability to meet deadlines, overcome challenges, manage stakeholder expectations and produce project deliverables
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