Job Requisition Number: 23561. The Haas School of Business develops innovative leaders - individuals who redefine how we do business. Berkeley-Haas, the second oldest business school in the United States, educates 2,200 students each year in six degree-granting programs, and hundreds more through executive education programs. A team of 300 staff members support these students, faculty and alumni through work in areas that include Admissions, Student Services, Career Management, Administration, and Development.
Berkeley-Haas offers opportunities to champion new ideas, collaborate across boundaries, and learn continually. Our culture is captured by Four Defining Principles (Question the Status Quo, Confidence Without Attitude, Students Always and Beyond Yourself) that distinguish Berkeley-Haas as a place to learn—and a place to work. To learn more about the Haas School visit: http://www.haas.berkeley.edu/haas/about/employment.html
Data Science and Analytics Infrastructure: work in cross-functional teams and with the Director of Research Computing to architect the IT infrastructure that supports data science and analytics.
Operate the IT infrastructure supporting the MFE Program, performing complex systems programming, integration, and support activities. Provision Kubernetes/Docker Containers and Analytics Environment on Demand (AEoD) virtual computing infrastructure for individual students and teams. Develop and maintain technical support procedures and documentation supporting the use of the IT infrastructure, tool sets, and data for use by faculty and students. Facilitate orientation and installation clinics for students. Propose and implement enhancements to the infrastructure and/or tool sets that improve outcomes for faculty and students. Analyzes, installs, modifies and supports operating systems, database or utilities software. May recommend changes in development, maintenance and system standards.
MFE Lab Consulting and Management: provide consulting services to MFE student projects for competitions and ad-hoc research. Conduct appropriate analyses to provide students with the best-available IT infrastructure and services to meet or exceed their specific requirements. Maintain the MFE Lab and related services, managing vendors and suppliers of the lab, keeping the services up to date. Facilitate and manage the resources for the high frequency trading system. Train users in conversion and implementation of system
Data Curation and Management: Acts as Service Manager for Financial Datasets and other information to support MFE Teaching and Research. Responsibilities include vendor management and negotiation; securing the data; development and maintenance of scripts to acquire, package, and store and provide data for teaching and research. Lifecycle and capacity planning for data. May involve cross-functional team work with the Director of Research Computing, Business Librarian, and central computing. Implements related business processes.
Software Development: Analyzes complex programs or formulates logic for new systems. Such programs include the programming of R. R is a programming language and environment for statistical computing and graphics. R supports linear and non-linear modeling, classical statistical tests, time-series analysis, classification, clustering, and other statistical methods and logic. Performs coding and tests/debugs complex programs within the R program. Coding may include extending the capabilities of R to support new functions and methods. Develops conversion and system implementation plans. Prepares programming documentation.
IT Security: Develops and executes specific security control activities to prevent unauthorized access to the IT infrastructure and MFE data. Audits and creates security and access control reports for management review. Maintains security configurations.•Communications: Must be able to communicate technical information in a clear and concise manner among varying levels in the organization. Must be able to present complex information, facilitate events involving highly technical information, and adapt the information for all audience levels. Communicate weekly with stakeholders and MFE Executive Director, providing updates on planned and unplanned work, project progress, concerns and issues involving MFE teaching and research, events. Reach consensus on deliverables scope and schedule. •Work Performance: Ability to work effectively with agility, given the rapid pace and change in the MFE program. Conduct work and follow through according to standards set by service level agreements, memorandums of understanding, and performance evaluation goals. •Expert Troubleshooting: Must be able to conduct problem analysis and isolation to identify the root cause of systems-related issues and take immediate and precise actions to improve or correct performance. •Domain Knowledge: Has knowledge of information technology planning, design, development and application to meet the needs of teaching and research. Working knowledge in finance and data science services to ensure that IT solutions align with faculty and student goals, objectives, and requirements. Has skills associated with adapting equipment and technology to serve user needs.
Specific IT Knowledge: Systems Administration and/or developer experience with: oserver operating systems (both Linux and Windows), preferably in clustered or high-availability architectures obig data tools (e.g., Hadoop, Spark, Impala, HPCC) orelational and non-relational database software (e.g., PostgreSQL, MySQL, MSSQL, MongoDB, Couchbase) odata science languages and tools (e.g., Python 2/3, R, JupyterHub/Notebook, Spyder, RStudio) oscripting tools (e.g., Perl, Windows PowerShell Script) ovirtualization technologies (e.g., Citrix Xen App, XenDesktop, VMWare/VSphere ESX) ocontainerized computing (e.g., Docker) oorchestration tools (e.g., Kubernetes, Docker Swarm) odata visualization/presentation tools (e.g., Tableau, Shiny) Education/Training: •Bachelors degree in related area and/or equivalent experience/training •Masters in Financial Engineering desirable
The University of California was chartered in 1868 and its flagship campus - envisioned as a "City of Learning" - was established at Berkeley, on San Francisco Bay. Today the world's premier public university and a wellspring of innovation, UC Berkeley occupies a 1,232 acre campus with a sylvan 178-acre central core. From this home its academic community makes key contributions to the economic and social well-being of the Bay Area, California, and the nation.