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Experian

Senior Insider Risk Analyst

Experian is hiring a Senior Insider Risk Analyst for a remote role open to applicants in United Kingdom. Level rates it ; you can apply on Experian.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Python, data loss prevention and threat detection.
  • Level lists 395 other open roles at Experian.
  • The role was posted within the past week.

AI in this role

Drive global insider risk management and predictive analytics models to enhance threat detection and data loss prevention.

Python
data-loss-preventionthreat-detectionpredictive-analyticsincident-responsedata-correlation

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Internal Grade E

The Senior Insider Risk Analyst will participate in and lead efforts to grow and expand Experian's global Insider Risk Management Program.

You will work with stakeholders, technical processes, and Cyber Fusion Centre leadership to enhance detection capabilities, case intake and reporting, use case development, and other aspects relevant to Insider Threat prevention, detection, and response.

This role is responsible for managing and improving predictive and detection analytics models, DLP controls, real-time monitoring tools, building dashboards and queries, automating processes, and authoring insider risk products to improve Experian's global insider risk and data loss prevention programs.

This is a hybrid, Nottingham or London based role (40% in the office) reporting to the Insider Risk Director.

  • Analyse and interpret information collected by various technical and non-technical data sources to detect and respond to insider risk and data loss incidents, including advanced correlation of large datasets across multiple security platforms.
  • Provide technical expertise and respond to investigator inquiries regarding data and the broader technical environment to support and advance insider risk investigations.
  • Conduct analysis of alerts, tools and associated data to identify false positives, improve detection and enhance the effectiveness and efficiency of investigative processes.
  • Improve predictive analytics models and associated real-time monitoring solutions, including developing, testing, and refining detection logic and use cases in collaboration with Security Engineering.
  • Build dashboards, queries and specialised monitoring capabilities to support investigations, including sensitive or close-hold Insider Risk activities.
  • Develop scripts and automated workflows to streamline data correlation, alert enrichment, investigative analysis and reporting.
  • Conduct proactive analysis of emerging insider risk trends to determine prevalence of threats in Experian's environment.
  • Produce documentation, including SOPs, process flows, and reporting and metrics using a variety of tools and information sources (SIEM, UEBA, project and knowledge management systems, case management systems, etc.).
  • Provide operational cross-coverage for Insider Risk and DLP governance activities, including investigations, policy and exception reviews, and business engagement, following established procedures and escalation requirements.
  • Demonstrated hands-on SIEM expertise developing complex queries, correlation searches, dashboards, and content from scratch, using YARA-L, SPL, KQL, SQL, or equivalent query and detection languages.
  • Experience in insider risk, cybersecurity investigations, security analytics, or a related technical security discipline.
  • Experience in mitigating insider threats and managing insider risk by utilizing UEBA and DLP tools.
  • Experience analysing and correlating large, complex datasets across multiple security technologies to identify anomalies and behavioral patterns.
  • Hands-on experience with scripting or programming languages such as Python, PowerShell, or equivalent technologies to automate analytical and investigative workflows.
  • Relevant cybersecurity or insider risk certifications preferred, including CERT Insider Threat Program Manager (ITPM) Certificate, Global Counter-Insider Threat Professional (GCITP), Certified Information Systems Security Professional (CISSP), GIAC Certified Incident Handler (GCIH), or other relevant GIAC certifications or SANS cybersecurity training.

Benefits include:-

  • Great compensation package and discretionary bonus plan
  • Core benefits include pension, bupa healthcare, sharesave scheme and more!
  • 25 days annual leave with 8 bank holidays and 3 volunteering days. You can also purchase additional annual leave.

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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How we rate this

Senior Insider Risk Analyst at Experian rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data Loss PreventionThreat DetectionPredictive AnalyticsIncident ResponseData CorrelationPython

Questions you could be asked

  1. Tell me about a project where data loss prevention was part of your work. What did you do?
  2. Tell me about a project where threat detection was part of your work. What did you do?
  3. Tell me about a project where predictive analytics was part of your work. What did you do?
  4. Tell me about a project where incident response was part of your work. What did you do?
  5. Tell me about a project where data correlation was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Loss Prevention, Threat Detection, Predictive Analytics, Incident Response, and Data Correlation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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