Purpose of the role

To monitor customer accounts for suspicious/fraudulent activities and take appropriate action when required. 

Accountabilities

• Execution of customer query support, including credit card inquires, account management and case resolution related to suspected fraud.
• Collaboration with various internal stakeholders across function projects and law enforcement agencies in cases of potential fraud.
• Development and implementation of fraud prevention strategies and procedures, including the use of fraud detection tools and technologies.
• Support teams within the business operations function as needed, including risk management, compliance, and customer care.
• Identification and implementation of trends and developments to regulatory requirements and internal policies related to fraud prevention and detection activities.
• Management and development of KPIs to measure the effectiveness of customer care fraud prevention operations, utilising data and technology to support the identification of areas that require improvement.
• Monitoring financial transactions for potential fraudulent and suspicious activities and conduct investigations and report fraud incidents.

Analyst Expectations

• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

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.

Embark on a transformative journey as Data Scientist at Barclays, where you will play a pivotal role in managing risk and enhancing controls within your area of responsibility. You will take ownership of your work, ensuring it aligns with the relevant rules, regulations, and codes of conduct while contributing to the overall integrity of the fraud analytics function. 

You may be assessed on key critical skills relevant for success in role such as:

• Proficiency in designing and building data pipelines to automate data movement and processing.

  
  
  

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.

  
  
  

• Management and development of KPIs to measure the effectiveness of customer care fraud prevention operations, utilising data and technology to support the identification of areas that require improvement.

  
  
  

Key critical skills required for this role include:

• Expertise in SQL, SAS, Python, Data Analytics and Reporting.

  
  
  

• Experience in Data Visualisation tools such as Power BI or Tableau.

  
  
  

• Excellent communication and interpersonal skills to effectively communicate with stakeholders, build relationships, and present findings.

  
  
  

• Strong analytical skills to interpret complex data quickly and make informed decisions in a fast-paced environment.

  
  
  

You may be assessed on key essential skills relevant for success in role, such as risk and controls, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

 
This role is based out of Noida.