Research Data Associate

Research Data Associate 

BCA Research 

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 beating heart of BCA Research.  

• This small team oversees all daily operations associated with ingesting, cleaning, maintaining, and deploying every research datasetfeeding the work of 50+researchers.  

Job Responsibilities: 

• You will work closely with: 

• Major macro economicsand financial data vendors to ensure data cleanliness, clarify data gaps / discrepancies, and manage the research database. 

• BCA Research teams to act as their trusted advisor for research data, seek out and vet new data sources, and ultimately ensureall research data needs are satisfied. 

• Download new series into our database at the request of the research team, map to internal series codes and organize metadata. 

• Help researchers find the data they needacross data vendor databases  

• Update existing series at the request of the research team 

• Review logs of automated jobs and handle exceptions, including manual review of datasets or contacting data vendors. 

• Maintain the quality and integrity of the research databy removing discontinued series from automated updates, editing metadata to reflect changesin methodology, and mapping series to alternative data sources 

• Review and automate as many manual steps in the above processes as possible 

Requirements: 

• An undergraduate degreein commerce, finance, or economics(we may entertain candidates actively studying towards a degreein exceptional circumstances) 

• Ideally 1 to 2 years of experience in a research role 

• Experience managing large datasets related to macroeconomic, financial, or market research 

• Strong understanding of economic indicators, financial markets, and data sources 

• Knowledge of programmatic languagesto managetime series databases, specificallyPythonand SQL  

• Knowledge of statistical packages and exposure to financial applications and time series databases  

• Drive and ability to think creatively outside pre-defined workflows to deliver results 

• Willingness to challenge the status quo and improve / automate existing workflows 

• High emotional intelligence to manage relationships with vendors and researchers 

Professional fluency in both written and spoken English, as you will collaborate with colleagues in the US and globally.