AVP Acquisition Credit Strategies

Barclays • New York, NY

4d • Onsite

About The Position

The purpose of the role is 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. 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.

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.
• 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.
• 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 will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments.
• They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• 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. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.
• Help improve the underwriting strategy, implementation testing, and generating dashboards.
• Keep up with, and perform within, the regulations and control guidelines.

Benefits

• The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed