As a Fraud and Financial Crime Analyst within Fraud Analytics at Barclays, you will be responsible for the development and enhancement of fraud/financial crime detection systems. Applying advanced analytical methods and data-driven approaches, you’ll improve our ability to detect and prevent fraud and financial crime across a variety of banking products and services. You’ll work closely with other experts in the field, helping us stay one step ahead in addressing fraud risks.
Tobesuccessful as a Fraud and Financial Crime Analyst, you should have experience with:
* A Degree in Mathematics, Statistics, Computer Science, or a related field (or equivalent work experience).
* Experience in money mule, financial crime or fraud detection, scam prevention, or cybersecurity, ideally in a financial services or banking environment.
* Proficiency in data analysis, with hands-on experience using tools and languages such as Python, R, SQL, SAS, and machine learning frameworks.
Some other highly valued skills may include:
* Experience in change delivery and integration, ideally with fraud systems and controls.
You may be assessed on key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology skills, as well as job-specific technical skills.
This role will be located at our Northampton office.
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, and extraction of data from various sources, including internal and external sources.
* Performing data cleaning, wrangling, and transformation to ensure data 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 analyze patterns, trends, and relationships in 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 Expectations
* To advise and influence decision making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions and business divisions.
* Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, with performance appraisals and reward outcomes.
* If the position has leadership responsibilities, demonstrate leadership behaviours to create an environment for colleagues to thrive and deliver excellence. The four LEAD behaviours are: Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others.
* For individual contributors, lead collaborative assignments, guide team members, and identify new directions for projects, involving cross-functional methodologies as needed.
All colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset – to Empower, Challenge, and Drive.
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