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Main responsibilities include but are not limited to:
Conducting multilateral surveillance activities by participating in macro-financial research projects, contributing to the flagship publication, and capacity-building activities;
Contributing to cross-country analyses of economic and financial systems and the real economy;
Contributing to research by extracting, organizing, distilling, and analyzing "big data" from a variety of sources, undertaking econometrics and other quantitative work, implementing machine learning techniques, etc., and producing associated analytical reports;
Contributing to the development of macro-financial surveillance frameworks as well as establishing easy-to-use datasets from "big data" or unstructured data relating to ASEAN+3 economies;
Contributing to the automation of analytical tools and development of visualization dashboards for analytical outputs;
Helping to provide logistical and administrative support for the publication of the flagship report and related outreach events, as assigned by supervisor;
Undertaking any other assignment assigned by supervisor or Senior Management.
The candidate should possess:
A Ph.D. or Master's degree in the field of macroeconomics, finance, public policy, data science, or related fields, from a reputable university; applicants who are near completion of their degrees should provide academic transcripts and any other relevant information—any offer of a position will be contingent on completion of a degree;
Strong analytical ability and capacity to conduct rigorous macro-financial research; knowledge of economic, market, and policy developments in Asian economies would be a big plus;
Some experience in the field of data science, notably, extracting, cleaning, and analyzing "big data," web scraping, etc.; previous policy experience, via an internship or a junior role, at an international organization or official sector agency would be viewed favorably;
Proficiency in software applications such as Microsoft Office; high proficiency in programming in languages such as R, Python, Matlab, SQL, as well as econometric packages such as Stata, EViews;
Proficiency with data visualization tools, such as Google Data Studio, Tableau, Microsoft Power BI;
Strong motivation and initiative; be results-oriented and accountable for the accuracy of both data and information;
Strong teamwork and communication skills to interact effectively with staff and officials of diverse cultural backgrounds at all levels;
High proficiency in written and spoken English.
Closing date: November 30, 2020
Qualified candidates should send:
2.) A brief description of the relevant working experiences
3.) Earliest possible starting date of employment at AMRO
4.) A list of referees
We regret that only shortlisted candidates will be notified for an interview.