Enterprise Risk - ETRM, Officer

Job Description

Officer, Enterprise Technology Risk ManagementJob Description SummaryIt 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.State Street is prioritizing the development of highly automated solutions that provide IT professionals, business unit management, and senior leadership with accelerated risk mitigation capabilities and real-time measurement of the enterprise s risk posture - without the inefficiency, inaccuracy, and operational expenses associated with manual, labor-intensive processes. As a member of ETRM India - Innovation Hub, you will have the opportunity to partner with your ETRM peers across the globe, as well as ERM Organization, IT and business risk managers, to design and implement technology solutions to streamline and automate ETRM s key risk management processes.General Roles and ResponsibilitiesThe 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. The position is based in the Hyderabad, India.

• Establish and maintain relationships with all business stakeholders and technical teams to ensure alignment between ETRM strategy, business requirements, and development activities

• Identify relevant data sources and sets to mine for business needs
• Enhance data collection procedures to include information that is relevant for building analytic systems. Automate the data collection process to the extent possible
• Establish techniques for preprocessing of structured and unstructured data
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy
• Process complex data sets using advanced querying, visualization and analytics tools
• Analyze large amounts of raw information to find trends / patterns to extract valuable business insights
• Perform and/or direct research activities on industry trends, products and competitors; analyze trends and provide strategic and tactical recommendations
• Process large volumes of data to identify user behavior that may be detrimental to State Street
• Provide quality assurance on the insider threat use cases implemented
• Build predictive / forecasting models and machine learning algorithms
• Present information using data visualization techniques
• Establish and maintain relationships with respective risk management and technical teams
• Contribute to the continued development of risk excellence culture within State Street

QualificationsThe ideal candidate must possess the following:

• Graduate in Computer Engineering (preferably BTECH / BCA / MCA)
• Minimum 6-10 years of IT experience with special focus on Business Intelligence and Data Analytics/ Visualization Tools
• Good understanding of supervised learning, unsupervised learning and deep learning frameworks
• Experience with common data science toolkits such as R, Python etc. to manipulate data and draw insights from large data sets
• Experience in maintaining data analytics platforms so that data can effectively be mined for information.
• Experience in Rest APIs, Cypher Query Language (CQL), modeling network data using Neo4j/Graph Database
• Experience in utilizing visualization tools such as Tableau, Power BI etc. to take advantage of the growing volume of information
• Critical thinking and problem-solving skills are essential
• Familiarity in Information Security Frameworks including the ISO 27000 family and NIST is desirable
• Exceptional communication and analytical skills
• Proficient in Microsoft Access, Excel, and working knowledge in SharePoint
• Ability to multitask and navigate competing priorities

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Keyskills :
deep learningbig datause casesiso 27000enterprise risk managementbusiness unit managementerror analysisdata sciencedata analyticsenvironmental impact assessmentpower biresearch development