Data Scientist

What you will do
This position is located in downtown Ottawa, but we are open to candidates who may be able to work from Montreal.

The Financial Markets Department (FMD) is aligned with the financial system function of the Bank of Canada. The department provides analysis, policy advice and research on a wide range of topics in support of the goal of promoting the safety and efficiency of the overall financial system both domestically and internationally. FMD also contributes to the monetary policy and funds-management functions. In coordination with the Funds Management and Banking Department, FMD contributes to the overall management of Government of Canada financial assets and market debt, and executes the transactions that the Bank undertakes on behalf of the Government of Canada in Canadian-dollar- and foreign-currency-denominated markets. Finally, the department advises on and implements monetary policy, and provides liquidity to the financial system, through a range of operations.

The Financial Market Data Analytics (FMDA) team is looking for a Data Scientist to help it support the increased use of big data analytics, machine learning, and broader use of varied data resources across the department. The position reports directly to the FMDA Director.

As a Data Scientist, you work with other economists and financial market experts to build analytical solutions that enhance the department’s market operations, policy analysis and research.

You strive to understand business requirements and identify use cases for the deployment of predictive analytics. You lead data science projects, applying sophisticated analytics techniques at every stage: extraction, cleaning and validation of data, data exploration, design and evaluation of models and communication. You use big data technologies to leverage structured and unstructured data from a variety of internal and external sources. You find creative ways to develop tools and services, collaborating with specialists from other departments to drive innovation and expand departmental capabilities.

You will also:

• act as a subject matter expert in the areas of data science, big data, and new technologies
• apply, adapt and design computer programs for statistical analysis of data
• leverage extensive theoretical and practical knowledge of advanced analytic methods and algorithms
• propose data visualization techniques to present the results of statistical analyses
• deliver training to economists on key tools and big data analytic approaches
• keep current with industry and academic developments