Cyber Threat Intelligence Engineer - Director - Cybersecurity Engineering

• Job Description:

We’re seeking someone to join our CDRR Technology team as a Cyber Threat Intelligence Engineer, in Cyber as an innovative self-starter to join our team in Mumbai. CTI's Intelligence Engineer will build threat-centric analytic capabilities and automated data flows to empower CTI analysts to efficiently produce contextualized and actionable threat intelligence. The engineer will identify opportunities for efficiency in automation and develop tooling solutions that support all phases of the Intelligence Lifecycle and allow analysts to operate at scale. The CTI Engineer will interface with diverse cybersecurity stakeholders to build and improve data processing pipelines.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

This is Director position that manages and optimizes the technical environment and end-user experience across various workplace technologies for end-users, ensuring seamless operations and user satisfaction across the organization.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

• What you’ll do in the role:

• Design, develop, and improve systems for collecting, storing, processing, and analyzing raw data to produce actionable Threat Intelligence.
• Evaluate and analyze new data sources and APIs and adapt them for automating operations.
• Learn and integrate in-house analysis systems with automated workflows.
• Continuously develop and maintain CTI's Threat Intelligence Platform (TIP).
• Automate manual processes to enable CTI analysts and their efforts.
• Optimize data processing and analysis pipelines for Threat Intelligence.
• Analyze and translate complex problems and requirements into workable designs and solutions.
• Partner with other development teams and stakeholders to communicate technical specifications and identify opportunities for optimizing data analysis pipelines.
• Participate in calls and presentations to communicate technical concepts and specifications to audiences of all levels.
• Update and maintain documentation relevant to the implemented automation workflows.
• Action requests (RFIs) from partner teams that require development support (such as performing data extraction/analysis via programming/scripting).
• Provide ad-hoc support for scaling technical analysis/investigations via scripting and automated implementations.

• What you’ll bring to the role:

• Atleast 4+ years of total experience in a Cyber Security field such as Security Operations, Threat Intelligence, Security Engineering, DFIR etc.
• At least 1 year of experience building automation solutions using Python.
• Familiarity with threat intelligence or security-focused data analysis and/or network traffic analysis (network/endpoint log analysis, IOC analysis, malware analysis etc.).

• Preferred Skills:

• Knowledge of key cybersecurity frameworks - MITRE ATT&CK, STIX/TAXII, Diamond Model etc.
• Experience with software development practices such as Object-Oriented Programming (OOP) and debugging.
• Knowledge of modern distributed systems architecture (Kubernetes, Docker, Containerization etc.).
• Knowledge of vendor and open-source security research APIs.
• Familiarity with Python-based Machine Learning (ML) and AI libraries used for data analysis.
• Excellent written and verbal communication skills, and experience working across multiple stakeholders.
• Comfortable working in a geographically distributed team setting.

• WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: .

• 4+ years of experience in Cyber Security (Security Operations, Threat Intelligence, Security Engineering, DFIR)
• 1+ year of experience building automation solutions using Python
• Familiarity with threat intelligence or security-focused data analysis and/or network traffic analysis
• Knowledge of cybersecurity frameworks (MITRE ATT&CK, STIX/TAXII, Diamond Model)
• Experience with OOP and debugging
• Knowledge of distributed systems (Kubernetes, Docker, Containerization)
• Knowledge of vendor and open-source security research APIs
• Familiarity with Python-based ML and AI libraries for data analysis
• Excellent written and verbal communication skills
• Comfortable working in a geographically distributed team