Cyber Security Architecture

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Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.

With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.

Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.

Cyber Security Architecture & Engineering Intern

Internship Period: 12 January July 2026

Job Description:

Participate in cyber security Large Language Module (LLM) program to assess, trial and implement applicable models such as: 

•    Threat Detection and Analysis: Train LLMs to detect and classify potential threats in the cyber environment by analysing patterns in network traffic or communication.

•    Phishing Detection: LLMs can be trained to understand and detect potential phishing attacks in an email or message content, flagging them for review.

•    Code Security Review: Develop skills in training an LLM to automatically review code for potential security flaws or vulnerabilities.

•    Cybersecurity Awareness Training: Develop chatbot systems using LLMs to drive cybersecurity training interactions, raising awareness of threats and best practices amongst employees and users.

•    Automatic Report Writing: LLMs can work on automating the generation of security reports following an incident, streamlining the process and saving time for cybersecurity teams.

•    Incident Response: LLMs can aid in automating responses to certain common cyber threats or incidents, providing faster resolution and minimizing damage.

•    Predictive Threat Analysis: Train LLMs to predict potential cyber threats based on patterns and trends in data, enabling proactive protection measures.

•    Real-Time Alert Systems: Create a set of real-time alerts in the cybersecurity system by teaching the LLM to recognize certain risk parameters or situations.

•    Document Review: LLMs can be programmed to review complex legal and compliance documents, extract crucial information, and provide cybersecurity guidelines based on them.

•    Enhance User Authentication: Use LLM to improve behavioural biometric security by understanding and learning usual user behaviour and detecting anomalies.

•    Encryption and Data Protection: Using LLMs to enhance and reinforce encryption algorithms by continually learning and updating them based on data breaches and cybersecurity threats.

•    Vulnerability Patching: Use LLMs to understand the nature of new vulnerabilities and assist in creating appropriate patches.

•    Real-Time Monitoring and Troubleshooting: LLMs can be used as first-line analysis for monitoring system activities and identifying any potential threats or issues.

•    Customize Security Framework: Train LLMs for tailoring cybersecurity systems to the specific needs of a company, industry, or project based on the interpretation of inbound data.

•    Social Engineering Detection: Train an LLM to recognize signs of social engineering attacks, such as deceiving messages or emails designed to impersonate trusted sources.

•    Data Loss Prevention: Utilizing LLMs to enforce policies for data loss prevention (DLP), by correctly identifying and classifying sensitive data.

•    Cybersecurity Research: LLMs can aid in researching new cyber threats, understanding their mechanisms and suggesting mitigations or defences.

•    Policy and Compliance Management: Use LLMs to maintain an organization's cybersecurity policy, ensuring it meets all legal obligations and regulations.

The ethical use of AI and LLMs should be a significant area of focus throughout this internship. LLMs have to be trained and managed responsibly, with attention to potential unintended consequences (e.g., misuse, bias).

Job Requirements:

•    Enthusiastic and positive attitude

•    Passion to learn cybersecurity

•    Self- motived and team oriented

•    Strong analytics, problem-solving skills

•    Excellent oral & written communication skills

IMPORTANT NOTE 

1.    Interested applicants will be required to submit CV and Cover Letter
2.    Please submit your details via our early careers website at Careers )
3.    Do note that only shortlisted applicants will be notified.
 

This internship role is based in Singapore. It is open to Singaporean and PR students only. In Singapore, MUFG internship partners include National University of Singapore, Nanyang Technological University, Singapore Management University, Singapore University of Technology and Design (SUTD) and Singapore University of Social Sciences (SUSS).

Mitsubishi UFJ Financial Group (MUFG) is an equal opportunity employer. We view our employees as our key assets as they are fundamental to our long-term growth and success. MUFG is committed to hiring based on merit and organsational fit, regardless of race, religion or gender.