Job Description
Purpose of the role
To 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.
Accountabilities
- Identification, 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.
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.
Join us as Assistant Manager in Fraud Analytics 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 SAS, SQL, Data Analytics and your experience in developing strategies.
Top Skills
What We Do
Barclays is a British universal bank. We are diversified by business, by different types of customers and clients, and by geography. Our businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by our service company which provides technology, operations and functional services across the Group.
With over 325 years of history and expertise in banking, Barclays operates in over 40 countries and employs approximately 83,500 people. Barclays moves, lends, invests and protects money for customers and clients worldwide.
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