Data Scientist

Key Skills

Java Programming, Analytical and Problem solving, Risk Analytics, Python Programming, SQL, Machine learning techniques, Data science techniques, Data Mining, Kibana, PySpark, Large data sets, Terabyte scale datasets, Data Analysis

Job Description

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions, and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.

Technology & Operations Risk

Technology and Operations Risk’s mission is to deliver first line defenses to manage Cyber and Fraud risks to Morgan Stanley’s technology, operations and information through risk identification, control management and assurance. This allows the business to operate and grow in a secure and legally compliant manner. The team’s vision is to deliver programs that protect and enable the business, ensure secure delivery of services to clients, adjust to address the risks presented by an evolving threat landscape and meet regulatory expectations.

Job Profile: Threat Hunt is looking for an experienced Data Scientist to join our global team. Threat Hunts mission is to seek out attacks against the Morgan Stanley network, to engineer detection strategies, and to reduce risk to Morgan Stanley assets. As a new Threat Hunt Data Scientist, you will be tasked with developing and maintaining cutting edge analytic models and detections to help defend Morgan Stanley networks.

The following are what will be expected of the candidate:

• Leverage expertise in systems and data analysis to work through the Analytic Development Lifecycle to detect anomalous activity.
• Develop, deploy, and sustain Machine learning capabilities focused on Proactive Threat Hunting and Insider Threat Detection.
• Contribute expertise in any/all the following: threat hunting, threat intelligence, malware analysis and/or data analysis to a global team.
• Self-motivated individual and creative thinker who will take ownership of tasks and projects, able to work with the team, and manage time and tasks effectively and independently

What You'll Get to Do:

• Analyse data from host-, network- and file-based data to develop models associated with cyber tactics, techniques, and procedures.
• Evaluate threats and countermeasures along with architecture to understand impact to enhance the overall security posture of the Firm.
• Leverage a lot of different technology in a very high paced team.
• Lead the development of models in an agile and iterative environment, including requirements definition, data analysis and visualization, and deployment.
• Build models to proactively identify threats for the global Threat Hunting and Cyber defence team.
• Collaborate with stakeholders to drive the use of data and build models to improve the Firm's risk identification strategy.
• Communicate with and influence business leaders on applications and recommendations of AI / ML
• Collaborate with other developers and architects on technical design

Qualifications

Skill Set

Skills Required:

• Minimum 3 years of experience directly in building models using Machine learning and AI.
• Ability to work with customers, gather requirements and distil them into complete solutions.
• Practitioner experience with analysing host, file, or network-based logs to filter known versus unknown with a goal of finding malicious activity.
• Experience working with large data sets.
• Strong experience with analytic techniques using primarily Open-Source tools and development.
• Hands-on experience in working with Python

Qualification:

• 3+ years of experience working on Data Science and master’s degree, or bachelor’s degree with equivalent combination of professional training and experience.
• Strong quantitative and problem-solving skills; proficiency working with large datasets, data mining, statistical methods, segmentation method, algorithm design and implementation. Ability to analyse large, complex, multidimensional datasets with a variety of tools
• Experience of software development experience using Python, PySpark, Elastic and Kibana
• Strong verbal and written communication skills; experience developing interpretability into an AI/ML-based product for a non-technical audience
• Strong communicator who can participate in a team-oriented, fast-paced Agile environment and desires to continuous learning
• Ability to work in a team as individual contributor.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advanci