Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Cyber Fraud Analyst

Knutsford
8 months ago
Applications closed

Related Jobs

View all jobs

Data Science Manager

Senior / Lead Data Engineer

Senior Data Engineer

Data Analyst

Data Scientist

Senior Data Engineer

Join Barclays as a Senior Cyber Fraud 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 as a Senior Cyber Fraud Analyst, you will need the following:

Experience working with an industry leading digital identity, device, and behavioural profiling technologies.

Create & manage fraud rules, models, and other controls to optimize fraud strategies and policies for pre-payment fraud detection. Knowledge of rule creation withing ThreatMetrix, BioCatch, FeatureSpace, Falcon is preferred.

Engage and interact with vendors/internal fraud technology teams to assess and manage new/existing fraud detection tools.

Ability to enrich, transform and analyse large structured and unstructured datasets including but not limited to internal and external intelligence, fraud, and business data in support of cybercrime root cause analysis.

Knowledge of malicious attack vectors used by cyber fraud adversaries to target the financial sector including but not limited to device and behavioural profiling, location manipulation, identity fraud and account takeover.

Some other highly valued skills may include:

Escalate identified risks which may result in unacceptable fraud controls and losses, utilizing data visualization.

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 role

To develop, implement and maintain solutions that support the safeguarding of the banks systems and sensitive information.  

Accountabilities

Provision of subject matter expertise on security systems and engineering patterns.

Development and implementation of protocols, algorithms, and software applications to protect sensitive data and systems.

Management and protection of secrets, ensuring that they are securely generated, stored, and used.

Execution of audits to monitor, identify and assess vulnerabilities in the banks infrastructure/software and support the response to potential security breaches.

Identification of advancements in to support the innovation and adoption of new cryptographic technologies and techniques.

Collaboration across the bank, including developers and security teams, to ensure that cryptographic solutions align with business objectives, security policies and regulatory requirements.

Development/ Implementation and maintenance of Identity and Access Management solutions and systems.

Assistant Vice President Expectations

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.