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Job Location | Hyderabad |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Banking / Financial Services |
Functional Area | DBA / Datawarehousing,Statistics / Analytics |
EmploymentType | Full-time |
Enterprise Technology Risk Management, Insider Threat & Data Scientist, OfficerIt is an exciting time to join State Street Corporation (SSC) in the Enterprise Risk Management (ERM) organization as member of the Enterprise Technology Risk Management (ETRM) team. State Street is the industry leader in investment management, research & trading and servicing. ETRM is responsible for oversight, monitoring, and advisement around the management of IT risks across the State Street enterprise.The Second Line of Defense ETRM Team is seeking a candidate to design, develop and deliver various data science-based insights and create proof of concepts in the area of Cyber, Information Technology, Operational and Resiliency risks. Also apply the data analytics to assess insider threat monitoring and detection capabilities. The candidate will closely work with teams across multiple Risk, Control and Technology divisions and report into a senior Enterprise Technology Risk Manager. The position is based out of Hyderabad, India.General Roles and ResponsibilitiesThe candidate will be expected to work with a diverse set of data sources such as vulnerability data, SIEM logs, CMDB, Incident, BCMS, Technology Issues, Vendor Engagement & Issues, HR, Fraud, Bribery and Employee relation issues data, semi-structured and unstructured data to build statistical / machine learning models. The candidate will assess the effectiveness and accuracy of new data sources and data gathering techniques. Must be able to compile information and prepare reports based on both manual and automated sources. Also assist in the evaluation, research and development of data models. Below are some of the roles and responsibilities:
Keyskills :
machine learningpythondata analysissqlanalyticsresearchdevelopmententerprise risk managementbig datapower biuse casesdata sciencedeep learningdata analyticserror analysisrisk management