Academic Coordinator II /Associate Director of MQE Quant Lab - Master of Quantitative Economics

The Master of Quantitative Economics (MQE) Program at UCLA invites highly qualified applicants for the Associate Director of the MQE Quant Lab position. 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 include creating collaborative educational programs to increase the academic and professional preparation of students including technical interview preparation and tutorials; oversee the MQE capstone program; 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 instructors in the design and delivery of lessons; oversee operational aspects of the MQE Quant Lab which includes managing the data and website of the Quant Lab and Bloomberg Terminal; manage contracts for data subscriptions and journals; supervise interns on related tasks; serve as technical lead for applied projects interfacing with company sponsors; design and execute technical assessments; actively research market trends and new skills needed in the tech, fintech, and financial industry.

Qualified candidates must have excellent project management and 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 to 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.

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.

• 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

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

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 University of California's Affirmative Action Policy, please visit https://www.ucop.edu/academic-personnel-programs/_files/apm/apm-035.pdf.

For the University of California's Anti-Discrimination Policy, please visit https://policy.ucop.edu/doc/1001004/Anti-Discrimination.