Cyber Fraud Analyst – Bristol

Cyber Fraud Analyst – Bristol

Full-Time Home office (partial)
HMRC

At a Glance

  • Tasks: Join HMRC as a Cyber Fraud Analyst and tackle identity fraud head-on.
  • Company: Be part of HMRC, a dynamic team dedicated to protecting customers from fraud.
  • Benefits: Enjoy flexible working, generous leave, and a solid pension scheme.
  • Other info: Great career growth opportunities in a supportive environment.
  • Why this job: Make a real impact in the fight against cybercrime while developing your skills.
  • Qualifications: Bring your data analysis skills and knowledge of fraud detection techniques.

About the job

Discover a career in your hands at HMRC. Whether you're seeking purpose, growth, or a workplace that gives you a true sense of belonging, hear from some of our employees as they share their story about what it's really like to work at HMRC. Our team is rapidly growing as we invest in new technologies and capabilities, and we are in search of enthusiastic individuals who can help us in achieving our mission. We are continually improving the service we give to our customers and, in line with this, we are creating a new response and management team within the HMRC Fraud Prevention Centre.

The Fraud Prevention Centre (FPC) is a strategic capability within HMRC Security, designed to safeguard customers and the organisation against identity-related fraud and emerging threats. Its mission is built on three interconnected pillars: Protection, Detection, and Response, all underpinned by advanced threat intelligence and customer support. The Centre operates across multiple functional areas, including Proactive Protection, Customer Support Response, and Strategy Advisory, to deliver a holistic approach to fraud prevention.

Job description

We're looking for a proactive and analytical professional to support HMRC's fight against identity fraud. You'll help lead data-driven investigations into suspicious activity related to identity verification and authentication services, while working with the team and partners, acting as a key contributor in a team that supports customers and provides insight into identity fraud activity and proactive searching for threats. This is an exciting opportunity to make a real difference, working in a dynamic and evolving environment.

Person specification

  • Manipulate and analyse large data sets and investigate suspicious activity.
  • Learn, develop, and apply methods using data analytics techniques such as data mining, data matching, clustering analysis and outlier detection.
  • Use basic scripting languages to develop visualisations and automate effective searches to build a growing analytical suite of capabilities that you can operate efficiently.
  • Have strong communication skills and be able to demonstrate working across business and technical domains. You will have excellent interpersonal skills.
  • Apply your knowledge of security and fraud risks to digital services.
  • Support and deputise for the senior analysts, producing clear, insightful reports and presentations for senior stakeholders.
  • You will be confident working in an environment that may flex its focus in response to emerging issues and have a delivery focus.
  • You will be eager to learn and widen your experience in different areas of identity work.
  • You will use your experience of scripting, for example SPL, Python, SQL, KQL to proactively search and discover anomalies.
  • Be flexible and enthusiastic whilst working with some ambiguity as the team forms, grows and matures.
  • Support senior managers in the reporting of metrics and support the wider aims of the HMRC Security Identity Team.
  • Identify process improvement areas.

Essential Criteria

  • Knowledge of fraud detection techniques, including behavioural analysis and anomaly detection and investigation and OSINT (Open Source Intelligence) methods.
  • Data analysis skills and experience with large data sets, with proficiency scripting complex queries in analysis environments.
  • Solid technical understanding of web and API services (e.g. cookies, IP addresses, authentication processes) and threats to those services from cybercrime actors and tools.
  • Experience using Security Information and Event Management (SIEM) platforms, preferably in a security operations setting.
  • A sound understanding of Identity, Verification and Authentication principles.

Desirable Criteria

  • A degree in Data Analysis, Data Science, Information Security, Cyber Security, or other Cyber qualifications e.g. SANS, or at least previous experience in a relevant cyber role.
  • Proven experience in fraud detection, cyber security, or threat intelligence within a large organisation.
  • Active use of at least one of the following: Python, SQL, KQL, SPL.

Important Additional Information

The successful candidate may be required to apply for Developed Vetting (DV) clearance level once in post but must already hold or be willing to obtain Security Check (SC) clearance level before starting the role.

Benefits

Alongside your salary of 37,682, HM Revenue and Customs contributes 10,916 towards you being a member of the Civil Service Defined Benefit Pension scheme. HMRC operates both Flexible and Hybrid Working policies, allowing you to balance your work and personal commitments. We welcome applications from those who need to work a more flexible arrangement and will agree to requests where possible, considering our operational and customer service needs. We offer a generous leave allowance, starting at 25 days and increasing by a day for every year of qualifying service up to a maximum of 30 days.

  • Pension - We make contributions to our colleagues Alpha pension equal to at least 28.97% of their salary.
  • Family friendly policies.
  • Personal support.
  • Coaching and development.

How to Apply

As part of the application process, you will be asked to provide the following:

  • A name-blind CV including your job history, previous experiences and qualifications. Qualifications are not mandatory for this role.
  • A 750-word Personal Statement. Your Personal Statement should be used to describe how your skills and experience would be suitable for the advertised role, making reference to the Essential Criteria and Person Specification outlined in the advert.

Please complete a separate statement (Max 250 words) for the Desirable Criteria where applicable. This is not essential for the role but may be considered by the vacancy-holder where candidates have the same scores at interview.

Prior to applications being sifted candidates will be asked to complete an additional IKM assessment. Candidates will be sent details of the assessment once the advert has closed. This assessment is a pass or fail and only those who pass will be considered at the sift stage.

Eligibility

Please take extra care to tick the correct boxes in the eligibility sections of your application form. Mistakes sometimes happen but if you contact us later than two working days (Monday-Friday) before the vacancy closes, we may not be able to reopen your application for you. If you do make a mistake with your eligibility form, or have withdrawn yourself in error and need your application reinstated whilst the campaign is still live, please contact us via: - Use the subject line to insert appropriate wording for example - Please re-open my application.

Cyber Fraud Analyst – Bristol employer: HMRC

HMRC is an exceptional employer that prioritises employee growth and well-being, offering a supportive work culture where innovation and collaboration thrive. With flexible and hybrid working policies, generous leave allowances, and a commitment to continuous improvement, employees can achieve a healthy work-life balance while contributing to meaningful public service. Located in Birmingham's vibrant Arena Central, this role as an Operating Model Manager provides the opportunity to lead impactful change within a large organisation, making a real difference in how technology services are delivered.

HMRC

Contact Details:

HMRC Recruitment Team

We think you need these skills to ace Cyber Fraud Analyst – Bristol

Data Analysis
Scripting Languages (Python, SQL, KQL, SPL)
Fraud Detection Techniques
Behavioural Analysis
Anomaly Detection
Open Source Intelligence (OSINT)
Communication Skills