Data Scientist Treasury Research Labs

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 dont just anticipate the future - were creating it.

To be successful in this role, you should have below skills:

• 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.

Some other highly valued skills may include below:

• 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.

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

This role is based in our Chennai office.

Purpose of the role

To use innovative data analytics and machine learning techniques to extract valuable insights from the banks 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

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.
• OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
• 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.