Financial Data Analysis Expert

1 week ago

Ottawa, Ontario, Canada Bank of Canada Full time

Welcome to the Bank of Canada, a leading central bank dedicated to a better Canada. We are seeking a highly skilled Financial Data Analysis Expert to join our team.

About Us

We have a vision to be dynamic, engaged and trusted – committed to making a positive impact on the economic and financial well-being of all Canadians. Our organization is at the center of Canada's economy, offering a unique opportunity to work with significant influence.

Our core values include excellence, integrity and respect. We strive to be forward-looking and innovative, welcoming people with diverse perspectives and talents. We earn trust by living up to our commitments and clearly explaining our policies and actions.

Compensation

This position offers a competitive salary range of $72,070 to $84,788 (job grade 14) based on qualifications and experience. In addition, you can expect an incentive for successfully meeting expectations at 5 to 7% of your base salary, as well as additional performance pay (3%) for exceeding expectations.

Job Description

The Financial Institutions Statistics team provides analytic and subject-matter expertise to support the collection of high-quality chartered bank data. As a Financial Data Analysis Expert, you will be responsible for all aspects of data collection, validation, and publication.

You will enhance existing processes and create new data solutions to meet client requirements using your solid programming skills. You will develop subject-matter knowledge in chartered bank financial data as well as an understanding of the uses of these data across the Bank.

You will effectively liaise with both internal and external partners to maintain the high quality of data products and services provided. You will participate in overlapping projects, contribute to creative solutions and new ways to advance the Bank's analytical abilities.

  • Contribute to the accurate reporting and publication of chartered bank data involving strict deadlines and to meet user requirements.
  • Apply a variety of analytic tools to validate and ensure high data quality and actively seek opportunities for improving data accuracy and the overall quality of the statistical program.
  • Perform programming changes to scripts and formulas and create data visualizations to meet client needs and for ongoing process improvements.
  • Lead and participate in testing of enhancements, system upgrades or redesigns.
  • Maintain in-depth understanding of financial data and how it is used by internal and external users as well as keep abreast of developments in the field of data analytics.
  • Contribute to knowledge sharing and the development of the team's analytical and technical skill set.
Required Skills and Qualifications

To succeed in this role, you must have excellent quantitative skills and be strong in at least one programming language (e.g., Python, R, etc.). You should have experience with data validation, manipulation and publication.

You should also have experience automating processes as well as creating innovative solutions to problems. Knowledge of financial statements and the business activities of financial institutions as well as knowledge of statistical methods are essential.

You must be a team player who contributes to discussions and is optimistic when dealing with changes and conflicts. You should use good judgement in decision-making, have strong organizational skills and attention to detail.

You should manage priorities and organize tasks in order to meet deadlines. You should respectfully contribute your own perspectives while encouraging others to share their point of view.

Benefits

This position offers a range of benefits, including flexible and comprehensive benefits, extra vacation days, and an indexed, defined-benefit pension.

About You

This position requires a university degree in statistics, mathematics, computer science, finance, economics or accounting and two years of relevant work experience (e.g., validating and analyzing financial data, troubleshooting and resolving technical issues) with increasing levels of responsibility.

An equivalent combination of education and experience may be considered.

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