Business Data Analyst – Investment Management - 1798

S I Systems; Toronto; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

S I Systems in Downtown Toronto (Hybrid) is seeking a Business Data Analyst to support investment management operations. You will analyze data from front-office platforms such as Aladdin and Bloomberg, and integrate Snowflake data to help reconcile and interpret investment data.

The successful candidate will combine investment domain knowledge with technical data analysis, using SQL and Python to query, transform, and validate data across multiple systems for trading and risk insights.

Qualifications

• 6+ years of relevant experience; broader range acceptable.
• SQL experience: run queries and analyze data.
• Python experience: run scripts for data analysis.
• Strong understanding of investment management and front-office data.
• Experience with Aladdin and/or Bloomberg (data perspective).
• Business data analysis in asset management / investment management.
• Combination of investment domain expertise and data analysis.
• Ability to analyze data across multiple systems.
• Strong analytical and problem-solving skills.
• Understand business meaning behind investment data.
• Snowflake experience.
• CFA Level 1–3 or equivalent investment knowledge.

Responsibilities

• Analyze and interpret data from front-office investment platforms and systems.
• Work with data from platforms such as Aladdin, Bloomberg, Snowflake, and other investment/data platforms.
• Analyze and reconcile data between different systems.
• Use SQL and/or Python to query, manipulate, and analyze data.
• Investigate data issues and determine business meaning behind discrepancies.
• Apply investment management knowledge when analyzing and interpreting data.
• Collaborate with stakeholders to understand data requirements and processes.
• Support analysis across trading and front-office functions from a data perspective.
• Contribute to data-related initiatives by combining investment domain knowledge with technical analysis.

Skills

SQL

Python

Investment knowledge

Front-office data

Data analysis

Analytical thinking

Tools

Snowflake

Aladdin

Bloomberg

Job description

Business Data Analyst – Investment Management - 1798

Location: Downtown Toronto (Hybrid - 3 days a week in office)

This role supports investment management operations through business and data analysis across front-office investment platforms. The position focuses on understanding and analyzing investment data residing within platforms such as Aladdin and Bloomberg, along with other data platforms such as Snowflake. The successful candidate will work at the intersection of investment management and data analysis, helping to understand, reconcile, and interpret data from a front-office perspective.

The role is best suited to someone with strong investment management domain knowledge and a solid level of technical understanding. Candidates should be comfortable working with data across multiple systems and, ideally, have experience using SQL and Python to analyze and reconcile data. The position requires the ability to understand not only the data itself, but also the business meaning behind the data from an investment and front-office perspective.

Must Haves

• 6+ years of relevant experience, with flexibility to consider candidates with a broader range of experience


• SQL experience, including the ability to run queries and analyze data


• Python experience, including the ability to run scripts for data analysis


• Strong understanding of investment management and front-office data


• Experience working with investment platforms such as Aladdin and/or Bloomberg from a data perspective


• Business data analysis experience within asset management, investment management, pension funds, banks, or similar financial institutions


• Combination of investment management domain expertise and technical data analysis experience


• Ability to analyze and understand data across multiple systems and platforms


• Strong analytical and problem-solving skills


• Ability to understand the business meaning and context behind investment and front-office data

Nice to Have

• Experience with Snowflake or other data platforms


• CFA Level 1–3 or another credential/certification demonstrating investment management knowledge

Responsibilities

• Analyze and interpret data from front-office investment platforms and systems


• Work with data from platforms such as Aladdin, Bloomberg, Snowflake, and other investment/data platforms


• Analyze and reconcile data between different systems


• Use SQL and/or Python to query, manipulate, and analyze data


• Investigate data issues and determine the business meaning and context behind identified discrepancies


• Apply investment management and front-office knowledge when analyzing and interpreting data


• Work with business stakeholders to understand data requirements and investment-related processes


• Support analysis across trading and front-office functions from a data perspective


• Leverage knowledge of investment management platforms to support business and data analysis activities


• Contribute to data-related initiatives by combining investment domain knowledge with technical analysis capabilities

Duration: 1 year to start

Location: Downtown Toronto (Hybrid - 3 days a week in office)

This role supports investment management operations through business and data analysis across front-office investment platforms. The position focuses on understanding and analyzing investment data residing within platforms such as Aladdin and Bloomberg, along with other data platforms such as Snowflake. The successful candidate will work at the intersection of investment management and data analysis, helping to understand, reconcile, and interpret data from a front-office perspective.

The role is best suited to someone with strong investment management domain knowledge and a solid level of technical understanding. Candidates should be comfortable working with data across multiple systems and, ideally, have experience using SQL and Python to analyze and reconcile data. The position requires the ability to understand not only the data itself, but also the business meaning behind the data from an investment and front-office perspective.

Must Haves

• 6+ years of relevant experience, with flexibility to consider candidates with a broader range of experience


• SQL experience, including the ability to run queries and analyze data


• Python experience, including the ability to run scripts for data analysis


• Strong understanding of investment management and front-office data


• Experience working with investment platforms such as Aladdin and/or Bloomberg from a data perspective


• Business data analysis experience within asset management, investment management, pension funds, banks, or similar financial institutions


• Combination of investment management domain expertise and technical data analysis experience


• Ability to analyze and understand data across multiple systems and platforms


• Strong analytical and problem-solving skills


• Ability to understand the business meaning and context behind investment and front-office data

Nice to Have

• Experience with Snowflake or other data platforms


• CFA Level 1–3 or another credential/certification demonstrating investment management knowledge

Responsibilities

• Analyze and interpret data from front-office investment platforms and systems


• Work with data from platforms such as Aladdin, Bloomberg, Snowflake, and other investment/data platforms


• Analyze and reconcile data between different systems


• Use SQL and/or Python to query, manipulate, and analyze data


• Investigate data issues and determine the business meaning and context behind identified discrepancies


• Apply investment management and front-office knowledge when analyzing and interpreting data


• Work with business stakeholders to understand data requirements and investment-related processes


• Support analysis across trading and front-office functions from a data perspective


• Leverage knowledge of investment management platforms to support business and data analysis activities


• Contribute to data-related initiatives by combining investment domain knowledge with technical analysis capabilities

Disclaimer:


AI may be used in evaluating candidates.


This posting is for an existing vacancy.