Research Data Associate

Delinian • Montreal, Quebec, Canada • 5h ago

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.
Th is small team oversees all daily operations associated with ingesting, cleaning, maintaining , and deploying every research data set feeding the work of 50 + r esearchers.

Job Responsibilities

You will work closely with:
Major macro economics and 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 ensure all 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 need across data vendor da t abases
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 data by removing discontinued series from automated updates , edit ing metadata to reflect changes in methodology , and mapping series to alternative data sources
Review and automate as many manual steps in the above processes as possible

Requirements

An undergraduate degree in commerce, finance, or economics (we may entertain candidates actively studying towards a degree in 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 languages to manage time series databases , specifically Python and 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 workflow s
High emotional intelligence to manage relationships with vendors and researchers

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