Corelation Programmer
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Location
Cincinnati
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Sector:
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Job type:
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Salary:
Negotiable
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Contact:
Alyssa Hank
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Contact email:
a.hank@ioassociates.com
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Job ref:
BBBH135913_1714421328
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Consultant:
Alyssa Hank
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.