Collections Strategy Analyst

Barclays•Wilmington, NC

2d•Onsite

About The Position

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. Join Barclays as a Collections Strategy Analyst, where you will support Payment Program and Settlement strategy optimization, as well as digital collections analytics with an emphasis on Settlement strategies. At Barclays, we’re building the bank of tomorrow. In this role, you will be responsible for performing deep-dive analysis to understand emerging trends related to settlement performance, setting up analytical tests, and improving settlement strategy outcomes. This is an end-to-end strategy owner role, where you will identify strategic opportunities, navigate the approval process, partner with technology to implement changes, and monitor the financial impact of the changes following successful implementation.

Requirements

Expertise in strategy development, testing, and performance optimization
Proficiency in SQL, Python, or other data analysis tools
Experience managing cross-functional projects with technology and operations teams
The ability to analyze complex datasets and translate insights into actionable strategies

Nice To Haves

Bank, Cards, or related financial services industry experience
Excellent communication and stakeholder engagement skills
The ability to work independently and manage multiple priorities in a dynamic environment
Familiarity with digital collections platforms and tools
Problem-solving mindset with attention to detail

Responsibilities

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.
Take 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.