Data Science & Analysis (Technology Management) Data Science & Analysis (Technology Management) …

Morgan Stanley
in Singapore, Singapore, Singapore
Permanent, Full time
Last application, 19 Jan 20
Competitive
Morgan Stanley
in Singapore, Singapore, Singapore
Permanent, Full time
Last application, 19 Jan 20
Competitive
See job description for details


Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.

As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

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 advancing individuals based on their skills and talents.

Team Profile:


Within the wider Fraud & Cyber Analytics organization, the Cyber Analytics team is responsible for detecting cyber threats to the Firm working closely with infrastructure teams, security control owners, threat intelligence analysts, incident responders, cyber event managers and business unit partners.

As a member of Cyber Analytics, you will be responsible for analyzing data, developing threat visibility, establishing detective methodology and implementing continuous monitoring solutions that will feed the alerting and incident response process. Your partners will include engineering teams responsible for deploying the Firm's security controls and infrastructure, as well as other cyber security functions involved in security architecture and vulnerability management.

Besides analytics development, you will also be responsible for driving continuous improvements to the team's processes and technology stack. Processing over 30 billion events each day, our analytics sense-making layer is a modern real-time streaming data architecture comprising a mixture of commercial and open-source technologies, including Apache NiFi, Kafka, Spark, and Splunk. Knowledge of one or more of these technologies is strongly desired. Demonstrated ability and desire to rapidly learn new technologies is a must.

- Other requirements include a strong interest in cybersecurity, passion for solving difficult problems, practical experience in some programming languages, propensity for teamwork and passion for continuous learning. Enterprise software development and data science experience are a plus.

- Ability to work in an agile, dynamic working environment is required to effectively respond to rapidly changing cyber threats.


Qualifications:


Skills Desired:
  • Passionate interest in data analytics and cyber security
  • Positive attitude and enthusiasm to learn new technologies and expand professional skills
  • Ability to collaborate with other developers and end users to craft end-to-end solutions
  • Excellent written and verbal communication skills
  • Well-versed in data structures, caching, design patterns and enterprise application design
  • Experience with big data platforms (for example Splunk, ELK, Apache Kafka/Spark/Storm) or with any relational databases (for example DB2, Oracle, Sybase, MSSQL) or NoSQL databases (for example MongoDB, CouchDB)
  • Experience with programming languages; for example Python (preferably), Scala, Java, C# or JavaScript
  • Experience with build tools, unit testing, as well as version control systems like Git
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