Join us as a Senior Analyst - Balance Transfer Analytics. In this role, you will support the Balance Transfer (BT) program at Barclays, where you will play a critical role in driving analytics, financial valuation, and optimization strategies for existing credit card customers. Partnering closely with Modeling, and Marketing, you will help shape data-driven targeting strategies that support USCB’s profitability goals. You will focus on performance monitoring, simulation analysis, and test design to continuously improve the effectiveness of the BT program. You will also support the adaptation of BT strategies for newly acquired portfolios and enhance reporting infrastructure to improve insight delivery and speed to market.

To be successful as a Senior Analyst - Balance Transfer Analytics, you should have:

• Advanced data analysis using Python, SAS, and SQL
• Financial modeling and valuation (NPV, EV, profitability analysis)
• Statistical analysis and simulation modeling
• Credit card or lending analytics, including balance transfer strategies
• Reporting and dashboard development with ample KPI focus

Some other highly valued skills may include:

• Problem-solving and critical-thinking abilities
• Ability to translate complex data into clear business insights
• Effective cross-functional collaboration and stakeholder communication
• Attention to detail with a high standard for analytical accuracy
• Ability to manage multiple priorities in a fast-paced environment

You may be assessed on the key critical skills relevant for success in this 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 located in our Wilmington, DE 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, 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.

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.