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Join Barclays as Data Scientist - Treasury Research Labs where the individual need to design, develop, implement, and support mathematical, statistical, machine learning models and automation tools to aid business decision-making across various functions of Treasury. Engaging with multiple units across the Treasury space to understand business requirements, maintaining constant visibility and open communication lines in the process At Barclays, we don't just anticipate the future - we're creating it.
Job Responsibility:
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
To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement
They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources
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
They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive
Requirements:
Undergraduate or equivalent degree
Strong preference is for a degree in a numerical discipline
Subscribes to and can demonstrate Barclays Values and Mindset
Proficiency in scripting languages (e.g., Python, R) and ML frameworks/tools (e.g., Scikit-learn, TensorFlow)
Proficiency in SQL for querying multiple databases and rapid prototyping to quickly iterate and test automation solutions
Deep understanding of machine learning and data mining principles, tools, and processes
Strong communication skills, displaying an ability to communicate complex ideas to a diverse audience across all areas and grade
Nice to have:
Demonstrable understanding of technology and/or business processes
Expertise in cloud technologies, particularly AWS, and familiarity with Gen AI implementation will be preferred
Experience with DevOps tools like Git/Bitbucket will be preferred
Experience with workflow tools like Power Automate, Alteryx will be preferred
Intellectual honesty and curiosity
An 'influencer' and negotiator. Able to understand the challenges facing Treasury and influence positive outcomes
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