AVP Acquisition Credit Strategies

Barclays•New York, NY

1d•$110,000 - $155,000•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 us as an AVP Acquisition Credit Strategies. At Barclays, our vision is clear – to redefine the future of banking and help craft innovative solutions. In this role, you will focus on all aspects of acquisition credit strategy within the airline space. You will help improve the underwriting strategy, implementation testing, and generating dashboards. You'll be required to keep up with, and perform within, the regulations and control guidelines. This is an exciting opportunity to join a team that has lots of visibility within the bank and ample opportunity for growth. Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

Requirements

Experience in developing and monitoring underwriting and credit line assignment strategies for lending products (credit card experience preferred)
Strong analytical acumen with ability to draw insights from vast amount of data
Experience with Python, SAS/SQL or other relevant statistical tools.
Proficiency with analytical software (Python), SQL tools (Oracle), Unix platforms, and MS Office
Familiarity with loss forecasting, improving the underwriting criteria, and implementation testing

Nice To Haves

Strong communication skills, with the ability to present information clearly, in both written and verbal form.
Ability to work with multiple stakeholders and thrive in a dynamic and brisk environment
Knowledge of statistic principals
Ability to understand the nuance of strategy
Knowledge of credit regulations and controls

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 advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness.
Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.
Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information.
Influence or convince stakeholders to achieve outcomes.