Data Scientist

About the position

Join Barclays as a Data Scientist within the Group Control Quantitative Analytics team, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. Our Group Control Quantitative Analytics (GC QA) is a global organization of highly specialized data scientists focused on developing and maintaining machine learning models and providing advanced analytics support in key areas including fraud detection and anti-money laundering. You’ll be part of a well-established yet growing team dynamically collaborating with wider stakeholder groups on the development of new machine learning models, collaborating with technology partners on the implementation of models, and the ongoing maintenance of existing models.

Responsibilities

• Design analytics and modelling solutions to complex business problems using domain expertise.
• Collaborate with technology to specify any dependencies required for analytical solutions, such as data, development environments, and tools.
• Develop high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
• Implement analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
• Provide ongoing support for the continued effectiveness of analytics and modelling solutions to users.
• Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
• Ensure all development activities are undertaken within the defined control environment.
• Perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• Take responsibility for end results of a team’s operational processing and activities.
• 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.
• 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.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

Requirements

• Experience in coding using Python.
• Experience with machine learning algorithms and predictive model development.
• Familiarity with distributed computing frameworks like Spark/PySpark.
• Experience with version control systems like Git/Gitlab/Bitbucket.
• Experience with cloud platforms like AWS or Azure.

Nice-to-haves

• Experience with DevOps pipelines and CI/CD tools like TeamCity, Jenkins.
• Project management experience using Jira.
• Domain experience in fraud detection and financial crime.
• Understanding of model risk management practices with financial services.

Benefits

• Minimum Salary: $65,000.00
• Maximum Salary: $105,000.00