Corelation Programmer - Cincinnati, United States - iO Associates - US

Description

If you want to know about the requirements for this role, read on for all the relevant information.
We have a remote contract opportunity available for a Corelation Keystone Programmer for a rapidly growing credit union. Prior experience with Keystone is a pre-requisite for this role and is the most important skill.
Job Description:

• Develop and maintain corelation strategies within the Keystone platform to streamline data analysis and improve decision-making processes.
• Collaborate with stakeholders to understand business requirements and translate them into technical specifications for implementation within the Keystone system.
• Design, develop, and test correlation rules to identify patterns, trends, and anomalies in financial data.
• Optimize existing corelation strategies to enhance performance and accuracy, leveraging best practices and industry standards.
• Monitor the effectiveness of correlation rules and make adjustments as needed to adapt to changing business needs and regulatory requirements.
• Provide technical support and troubleshooting assistance for Keystone-related issues, ensuring timely resolution and minimal disruption to operations.
• Stay informed about industry trends, emerging technologies, and best practices related to correlation analysis and data management.
• Document correlation strategies, processes, and procedures to maintain comprehensive records and facilitate knowledge transfer within the team.

Requirements:

• Proven experience as a programmer or software developer, with specific expertise in corelation analysis and data management.
• Proficiency in programming languages such as Python, Java, or SQL, with a strong understanding of data structures, algorithms, and database management systems.
• Experience working with corelation platforms such as Keystone or similar systems in the financial industry.
• Strong analytical skills and attention to detail, with the ability to identify patterns and trends in complex datasets.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.
• Self-motivated and proactive, with the ability to work independently and manage multiple tasks simultaneously in a remote environment.