Fraud Systems Senior Analyst
Fraud Systems Senior Analyst

Fraud Systems Senior Analyst

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the fight against fraud using innovative data analytics and machine learning techniques.
  • Company: Join Barclays, a leader in financial services with a commitment to innovation.
  • Benefits: Competitive salary, career development opportunities, and a dynamic work environment.
  • Why this job: Make a real impact in preventing economic crime while advancing your skills in a cutting-edge field.
  • Qualifications: Experience in fraud detection and strong analytical skills are essential.
  • Other info: Work in a collaborative team that values respect, integrity, and excellence.

The predicted salary is between 36000 - 60000 £ per year.

Join Barclays as a Fraud Systems Senior Analyst, where you\’ll spearhead the evolution of our digital landscape, driving innovation and excellence. In this role, you will be an integral part of our Cyber Fraud Fusion Centre, delivering scalable CFFC services to disrupt and prevent upstream economic crime.To be successful in this role, you will need the following:Proven experience in detecting and analysing 1st and 2nd party fraud, including behaviours such as misuse of genuine credentials, synthetic identities, and collusive activity. Hands-on experience with industry-leading digital identity, device, and behavioural profiling technologies (e.g. ThreatMetrix, BioCatch, FeatureSpace, Falcon). Ability to create and manage fraud rules, models, and controls to optimise strategies for pre-payment fraud detection, with a strong understanding of rule creation and tuning within relevant platforms. Skilled in engaging with vendors and internal fraud technology teams to assess, implement, and manage fraud detection tools and capabilities. Strong analytical skills with the ability to enrich, transform, and interpret large structured and unstructured datasets, including internal intelligence, external data sources, and fraud typologies. Solid understanding of cyber fraud attack vectors targeting the financial sector, including device and behavioural manipulation, location spoofing, identity fraud, and account takeover. Some other highly valued skills may include:Escalate identified risks which may result in unacceptable fraud controls and losses, utilising data visualisation. Supervisory and mentorship experience, delegating responsibilities within financial services. Experience working with an industry leading digital identity, device, and behavioural profiling technology. Partner closely with governance and control teams to ensure proper documentation, risk ratings and controls in place for all rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/ Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.The successful candidate will be based in Knutsford or Northampton. Purpose of the roleTo use innovative data analytics and machine learning techniques to extract valuable insights from the bank\’s data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. AccountabilitiesIdentification, collection, extraction of data from various sources, including internal and external sources.Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.Development and maintenance of efficient data pipelines for automated data acquisition and processing.Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.Assistant Vice President ExpectationsAdvise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions.Lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. Identify new directions for assignments and/or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.Take ownership for managing risk and strengthening controls in relation to the work done.Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc.) to solve problems creatively and effectively.Communicate complex information. \’Complex\’ information could include sensitive information or information that is difficult to communicate because of its content or its audience.Influence or convince stakeholders to achieve outcomes.All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Fraud Systems Senior Analyst employer: jobwache

Barclays is an exceptional employer, offering a dynamic work environment where innovation and excellence thrive. As a Fraud Systems Senior Analyst, you will be part of a collaborative team within the Cyber Fraud Fusion Centre, benefiting from extensive professional development opportunities and a culture that values respect, integrity, and service. Located in Knutsford or Northampton, employees enjoy a supportive atmosphere that encourages growth and the chance to make a meaningful impact in the fight against economic crime.
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Contact Detail:

jobwache Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Fraud Systems Senior Analyst

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend events, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for interviews by practising common questions and scenarios related to fraud detection and analysis. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your skills effectively.

✨Tip Number 3

Showcase your analytical skills! Bring examples of how you've used data to tackle fraud issues in the past. Whether it's through presentations or discussions, let your experience shine through.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at Barclays.

We think you need these skills to ace Fraud Systems Senior Analyst

Fraud Detection and Analysis
Digital Identity Technologies
Behavioural Profiling
Fraud Rule Creation and Tuning
Vendor Engagement
Data Enrichment and Transformation
Cyber Fraud Attack Vector Understanding
Data Visualisation
Supervisory and Mentorship Experience
SAS/SQL Programming
Big Data Programming
Statistical Computing
Machine Learning Techniques
Predictive Modelling
Stakeholder Communication

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Fraud Systems Senior Analyst role. Highlight your experience with fraud detection and analysis, especially any hands-on work with technologies like ThreatMetrix or BioCatch. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about tackling cyber fraud and how your background makes you a perfect fit for our Cyber Fraud Fusion Centre. Let us know how you can drive innovation and excellence in this role.

Showcase Your Analytical Skills: Since this role involves a lot of data analysis, be sure to showcase your analytical skills in your application. Mention any experience you have with data cleaning, transformation, and statistical modelling. We love seeing candidates who can turn complex data into actionable insights!

Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company and culture while you're at it!

How to prepare for a job interview at jobwache

✨Know Your Fraud Types

Make sure you brush up on the different types of fraud, especially 1st and 2nd party fraud. Be ready to discuss specific examples of how you've detected and analysed these behaviours in your previous roles.

✨Familiarise with Tools

Get hands-on experience with industry-leading technologies like ThreatMetrix or BioCatch before your interview. Being able to talk about your experience with these tools will show that you're not just familiar with the concepts but can also apply them effectively.

✨Data Skills are Key

Prepare to showcase your analytical skills by discussing how you've enriched and transformed large datasets in the past. Bring examples of how you've used SAS, SQL, or other programming languages to identify fraud risks or improve strategies.

✨Collaboration is Crucial

Be ready to explain how you've worked with vendors and internal teams to implement fraud detection tools. Highlight any supervisory or mentorship experience you have, as this shows your ability to lead and collaborate effectively within a team.

Fraud Systems Senior Analyst
jobwache

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