Morgan Stanley Services Group, Inc. seeks an Associate, Cyber Analytics in New York, New York

　　Meet with clients to understand business requirements and design application architecture for cyber use cases. Create common data model and set up ingestion pipeline for onboarding cybersecurity data from multiple sources. Perform exploratory data analysis and feature engineering. Develop machine learning analytics for cyber use-cases. Perform detailed cybersecurity based analysis on authentication, authorization and security mechanisms for firm platforms and applications to identify data security risks in firm applications. Design and deploy machine learning end-to-end pipelines for infringement detection. Report identified cyber threats. Monitor performance alerts and maintain and deploy code and new analytics.

　　Salary:

　　Expected base pay rates for the role will be between $151,000.00 and $151,000.00 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

　　QUALIFICATIONS

　　Requirements:

　　Requires a Master's Degree in Computer Science, Computer Engineering, or related field of study and one (1) year experience in the position offered or one (1) year as an Associate, Technology Analyst, Software Engineer, or closely related occupation.

　　Requires one (1) year of experience with: SQL; Python; Dataiku; PySpark; Kafka; Microsoft Azure; Scala; TensorFlow; Keras; NLTK; Scikit-learn; Pandas; NumPy; Flask; NodeJS; Angular; HTML; CSS; Jenkins; Git; Hive; Impala; Elasticsearch; and CosmosDB. Any experience with: Pytest; Junit; Nose; Docker; C#; Java; C++; and DB2.

　　Qualified Applicants:

　　To apply, visit us at https://ms.taleo.net/careersection/2/jobsearch.ftl?lang=en Scroll down and enter 3237872 as the "Job Number" and click "Search jobs." No calls please. EOE