Academic Coordinator
University of California Los Angeles
United States

Academic Coordinator/Director of Laboratory - Master of Quantitative Economics

Job #JPF06435
  • ECONOMICS / L&S Social Sciences / UCLA

Position overview

Position title:Director of MQE Laboratory

Application Window

Open May 18th, 2021 through Thursday, Jun 17, 2021 at 11:59pm (Pacific Time)

Position description

The Master of Quantitative Economics (MQE) Program at UCLA invites highly qualified applicants for the Director of the MQE Laboratory position starting immediately. Launched in 2016, the MQE is a robust academic program focused on offering students advanced training in data analytics, finance and econometrics. This is a full-time, one-year contract position (with possibility to extend).

Responsibilities will include creating collaborative educational programs to increase the academic and professional preparation of students; oversee the development and implementation of applied student projects; develop effective tools to help students optimize professional development; develop and update the Quant Lab’s forecasts and content; provide instruction to students with hands-on workshops on applied data management and financial analysis, presentation skills, and use of programming language such as Python, R, and SQL; support guest instructor in design and delivery of lessons; oversee operational aspects of the MQE laboratory which includes managing the data and website of the Quant Lab and Bloomberg Terminal; manage contracts for data subscriptions and journals; supervise work-study students on related tasks; serve as program manager for applied projects interfacing with company sponsors; actively research market trends and new skills needed in the tech, fintech, and financial industry.

Qualified candidates must have excellent communication skills; advanced knowledge of Python, R, SQL, and Excel; working knowledge of Tableau or other data visualization software packages; APIs; experience using Google trends and social media in sentiment analysis for financial forecasting; proficiency with Bloomberg Terminal and Bloomberg API; ability automate web scraping and predictions, expertise in machine learning and predictive modeling approaches such as Random Forests, Deep Learning, Super Learners, GBM, etc.; aptitude for creative approaches to non-standard problems; preference for experience working in teams addressing complex data science problems with a proven track record of project-based success; strong facilitation, coaching and presentation skills. A Master’s Degree in Applied Economics, Quantitative Economics, Econometrics, Applied Finance, Data Science, Computer Science, or Statistics is required.

Qualifications

Basic qualifications (required at time of application)

Qualified candidates must have excellent communication skills; advanced knowledge of Python, R, SQL, and Excel; working knowledge of Tableau or other data visualization software packages; APIs; experience using Google trends and social media in sentiment analysis for financial forecasting; proficiency with Bloomberg Terminal and Bloomberg API; ability automate web scraping and predictions, expertise in machine learning and predictive modeling approaches such as Random Forests, Deep Learning, Super Learners, GBM, etc.; aptitude for creative approaches to non-standard problems; preference for experience working in teams addressing complex data science problems with a proven track record of project-based success; strong facilitation, coaching and presentation skills. A Master’s Degree in Applied Economics, Quantitative Economics, Econometrics, Applied Finance, Data Science, Computer Science, or Statistics is required.

Application Requirements

Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter
  • Statement of Research (Optional)
  • Statement of Teaching (Optional)
  • Statement on Contributions to Equity, Diversity, and Inclusion - An EDI Statement describes a faculty candidate’s past, present, and future (planned) contributions to equity, diversity, and inclusion. To learn more about how UCLA thinks about contributions to equity, diversity, and inclusion, please review our Sample Guidance for Candidates and related EDI Statement FAQ document.
  • Misc / Additional (Optional)
Reference requirements
  • 2-3 required (contact information only)

Applicants will be asked to name references to complete their application, but the references will not be asked to provide letters unless the analyst requests them

Apply link: https://recruit.apo.ucla.edu/JPF06435

Help contact: mgossiaux@econ.ucla.edu

Campus Information

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy, see: UC Nondiscrimination & Affirmative Action Policy.

Job location

Los Angeles, CA
 


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