Senior Analyst - Portfolio Growth Credit Strategy

Barclays•Wilmington, DE

1d•Onsite

About The Position

The Senior Analyst - Portfolio Growth Credit Strategy uses data analytics and machine learning to extract insights from bank data and inform strategic decisions, improve operational efficiency, and support innovation. The role focuses on pricing analytics and credit card portfolio strategy, including analyzing complex data, building decision and predictive models, and translating findings into recommendations for stakeholders. The position works with business stakeholders and other functions to identify opportunities to create value through data science. It also carries responsibilities for risk management, controls, policy adherence, and communicating complex or sensitive information. The role is located in the Wilmington, Delaware office.

Requirements

Considerable experience in pricing analytics.
Extensive experience in the credit card industry.
Experience extracting meaningful insights from complex data sets and developing robust decision models.
In-depth knowledge of pricing options and analytics.
Familiarity with pricing fields and settings on supplier data files.
Extensive experience building opportunistic analyses.

Nice To Haves

Extensive experience building business cases and leading analytical projects.
Ability to translate insights into actionable business strategies.
Ability to communicate complex findings to senior leadership clearly and concisely.
Relevant skills in risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, and job-specific technical areas.

Responsibilities

Identify, collect, and extract data from internal and external sources.
Clean, wrangle, and transform data to ensure quality and suitability for analysis.
Develop and maintain data pipelines for automated data acquisition and processing.
Design and conduct statistical and machine learning models to analyze patterns, trends, and relationships.
Develop and implement predictive models to forecast outcomes and identify risks and opportunities.
Collaborate with business stakeholders to identify opportunities to create value through data science.
Extract insights from complex data sets and develop robust decision models.
Present actionable recommendations to stakeholders across departments.
Build business cases and lead analytical projects.
Translate analytical insights into actionable business strategies.
Communicate complex findings clearly and concisely to senior leadership.
Take ownership of risk and strengthen controls for owned or contributed work; escalate policy or procedure breaches appropriately.
Support the adoption of new policies and procedures for risk mitigation.
Partner with other functions and business areas, and advise or influence decision-making within the area of expertise.