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BCA Research is the leading independent provider of global investment research. Since 1949, BCA Research's mission has been to shape the level of conviction with which our clients make investment decisions, through the delivery of leading-edge analysis and forecasts of all the major asset classes and economies. The firm maintains a head office in Montreal, with local offices in London, New York, Hong Kong, Sydney, Singapore, and Shanghai.
Research Data Associate
About BCA Research
- BCA Research is on a mission to be the essential source of macro insight for the world’s top investors.
- We are the largest independent macro research provider, delivering 16 specialized research services to approximately 2,000 institutional investor clients worldwide.
Team Overview
You will be joining the Research Data team, the core of BCA Research. This small team oversees all daily operations related to ingesting, cleaning, maintaining, and deploying research data sets that support over 50 researchers. Job Responsibilities
Collaborate with macroeconomic and financial data vendors to ensure data quality, address gaps / discrepancies, and manage the research database. Work with BCA Research teams to act as their trusted data advisor, vet new data sources, and fulfill research data needs. Download new data series, map to internal codes, and organize metadata. Assist researchers in locating necessary data across vendor databases. Update existing data series as requested. Review logs of automated processes, handle exceptions, and perform manual reviews when needed. Maintain data quality by removing discontinued series, updating metadata, and mapping to alternative sources. Automate manual processes where possible. Requirements
Undergraduate degree in commerce, finance, or economics (candidates actively pursuing such degrees may be considered). 1-2 years of research experience preferred. Experience managing large macroeconomic, financial, or market datasets. Strong knowledge of economic indicators, financial markets, and data sources. Proficiency in Python and SQL for managing time series databases. Familiarity with statistical packages and financial applications. Creative problem-solving skills and a proactive approach to workflow improvements. High emotional intelligence for vendor and team relationships. Professional fluency in English, both written and spoken. We foster a supportive, inclusive environment that values diversity and professional growth. We offer competitive compensation, benefits, flexible work arrangements, and opportunities for development. Join us to be part of a team shaping the future of investment insights.
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