Information Security Co-op Spring 2027 (January - June)

MFS Investment Management•Boston, MA

1d•$21 - $25•Hybrid

About The Position

The Information Security team is responsible for protecting MFS information assets, supporting regulatory and client expectations, strengthening cyber resilience, and enabling secure business operations. As a Security Co-op, you will gain hands-on experience across multiple cybersecurity disciplines while working alongside experienced security professionals. This role provides exposure to the operational, technical, governance, and risk management functions of an enterprise security program. The co-op will contribute to meaningful projects and day-to-day security activities while developing practical cybersecurity skills in a highly regulated financial services environment. MFS co-op positions are a 6-month commitment, working Monday – Friday (beginning on Wednesday, January 13th through Friday June 25th, 2027), and work between 35-40 hours. Our program is designed for undergraduate students who are currently enrolled in a co-op program through their college or university and can meet our requirements.

Requirements

Undergraduate student pursuing a degree in Cybersecurity, Information Security, Computer Science, Information Systems, Engineering, or a related discipline.
Strong interest in cybersecurity and information security practices.
Demonstrated analytical and problem-solving abilities.
Strong verbal and written communication skills.
Ability to work independently and collaboratively in a team environment.
Excellent organizational skills and attention to detail.
Curiosity and willingness to learn new technologies, tools, and security concepts.

Nice To Haves

Security Operations Center concepts
Vulnerability management
Cloud technologies such as Azure, AWS, and SaaS
Networking fundamentals
Active Directory and identity management
Windows and Linux operating systems
Scripting languages such as PowerShell or Python
Artificial intelligence, approved generative AI tools, machine learning, prompt engineering, AI governance, or an interest in applying emerging technologies to cybersecurity
Security frameworks such as NIST, CIS Controls, or ISO 27001

Responsibilities

Support security operations activities including monitoring, investigations, incident response, and threat analysis.
Assist with vulnerability management efforts, including data analysis, reporting, remediation tracking, and validation activities.
Participate in security assessments, control reviews, and risk management initiatives.
Support internal and external audit activities through evidence gathering, documentation reviews, and control validation.
Assist with client due diligence requests, security questionnaires, and security program documentation.
Contribute to the maintenance of security policies, standards, procedures, and control documentation.
Help develop metrics, dashboards, and reports used to measure security program effectiveness.
Research emerging threats, attack techniques, vulnerabilities, and cybersecurity best practices.
Participate in security engineering initiatives involving cloud security, identity and access management, endpoint security, data protection, and security monitoring technologies.
Assist with security awareness and training activities, communications, and employee engagement campaigns.
Identify opportunities to automate repetitive security tasks and improve operational efficiency through scripting and process improvement.
Explore emerging artificial intelligence technologies and help develop creative, practical use cases for real-world cybersecurity challenges using approved tools and use cases in accordance with MFS AI policy, governance requirements, and data-handling standards.
Experiment with approved generative AI, automation, and data-driven techniques to enhance threat research, security analysis, detection, reporting, and other day-to-day security activities, with appropriate human review and oversight.
Help research and defend against AI-enabled threats, including sophisticated phishing and social engineering, malicious or unauthorized AI use, prompt injection, data leakage, model manipulation, and risks introduced by AI agents and third-party AI services.
Collaborate with technology teams and business partners to support enterprise security initiatives and projects.