AVP - Application Developer

Barclays - Hanover, NJ

Full-time - Mid Level

Remote - Hanover, NJ

Credit Intermediation and Related Activities

About the position

The AVP - Application Developer role at Barclays Services Corp. involves designing, developing, implementing, and maintaining various statistical, mathematical, and machine learning models to support decision-making and solve complex problems. The position requires leading the development of microservices and components for the swap trading platform, Delta1, while also ensuring data quality and model performance monitoring.

Responsibilities

• Design and implement microservices using Spring Boot to provide solutions to business problems and requirements.
• Write Custom Basket Trade Capture Service using Spring to capture underliers from a single upload template from Sales/Front Office.
• Troubleshoot performance and functional problems on development, testing, and production environments.
• Support and troubleshoot any production queries and issues, and communicate findings with business stakeholders.
• Analyze, design, and implement components in Barclays' swap trading platform 'Delta1' using technologies such as Java, Spring, REST APIs, SQL, etc.
• Acquire and collect data from various sources, including internal databases, external datasets, and real-time feeds.
• Perform data cleaning and pre-processing tasks to ensure data quality and suitability for model development.
• Design and implement data management strategies for model maintenance and future development.
• Design, develop, and implement statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimization.
• Monitor model performance in real-time and identify any potential issues or biases.

Requirements

• Proven experience in Java development and microservices architecture.
• Strong knowledge of Spring framework and REST APIs.
• Experience with SQL and database management.
• Ability to analyze and design complex systems and components.
• Experience in statistical and machine learning model development.
• Strong problem-solving skills and ability to troubleshoot issues in production environments.

Nice-to-haves

• Experience with data management strategies and data quality assurance.
• Familiarity with financial services and trading platforms.
• Knowledge of credit risk assessment and fraud detection methodologies.

Benefits

• Telecommuting options available.
• Opportunities for professional development and career growth.