Cyber Security Engineer

Cyber Security Engineer

Company details

Description of the offer

Shelton AI develops AI/ML solutions tailored for private markets, catering to top-tier asset allocators such as sovereign wealth funds and pension funds. As a leader in the financial technology sector, Shelton specializes in advanced solutions primarily aimed at increasing transparency within private markets. The company is dedicated to optimizing investment processes and enhancing operational efficiencies throughout the entire investment cycle. This is your opportunity to collaborate with an innovative team in a rapidly evolving field. Our clients impact outcomes for millions of families. We are here to make the world’s capital matter.

Key Responsibilities:

• Experience with Python, Django, SQL
• Experience with AWS infrastructure
• Develop and implement robust cybersecurity strategies
• Establish controls and procedures to protect sensitive data, including financial information and financial records.
• Lead the cybersecurity function in the monitoring, detection, investigation, and response to security threats.
• Design and maintain an incident response plan and disaster recovery strategy to minimize impact on operations and customer trust in the event of a security breach.
• Manage cybersecurity awareness training for all employees to prevent security lapses and foster a culture of security.
• Perform regular security assessments and audits to identify vulnerabilities; prioritize remediation based on risk assessment.
• Collaborate closely with developers and operations departments to ensure cybersecurity measures align with regulatory requirements and industry standards (e.g., GDPR, SOC2, etc.).
• Stay updated with the latest cybersecurity trends, tools, and best practices to keep security measures ahead of potential threats.
• Be able to clearly communicate with client requests

Preferred Qualifications:

• Experience with financial data and regulatory compliance
• Knowledge of data governance and data quality best practices
• Experience with data visualization tools

Location of employment

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