Associate Investment Analyst

Mackenzie Financial Corporation

$80K — $120K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a quantitative discipline (e.g., Finance, Economics, Mathematics, Engineering, Computer Science)
  • Strong proficiency in Microsoft Excel, including data analysis and formulas
  • Operational understanding of equities and derivatives trade management
  • Experience with portfolio management systems and operational workflows
  • Strong attention to detail and ability to work in a high-volume environment
  • Basic knowledge of Python and SQL is preferred
  • Strong analytical, problem-solving, and communication skills.

Responsibilities

  • Support daily portfolio implementation for over 150 accounts including rebalancing and cash management
  • Monitor portfolios against target allocations and prepare rebalancing files
  • Assist with ETF subscription and redemption activities
  • Conduct daily checks for portfolio data accuracy and compliance
  • Monitor portfolio metrics like tracking error and escalate discrepancies
  • Maintain and update reports and quantitative tools for portfolio monitoring
  • Document processes and identify workflow efficiency improvements.

Benefits

  • Competitive base salary and performance-weighted bonus
  • Comprehensive health and dental coverage, including family options
  • Voluntary Group RRSP with employer matching
  • Flexible work arrangements, including hybrid and paid volunteer days
  • Support for education and career development, including an Employee Share Purchase Plan.
Full Job Description
Job Description

Referral Level: Level 1

Mackenzie Investments is seeking a full-time Associate Investment Analyst to join the Multi-Asset Strategies team within the Investment Management department. The candidate will be responsible for daily operational activities supporting the portfolio management of rules based, index tracking and model tracking accounts and ETFs.

This position is well suited to a detail-oriented and highly organized individual who enjoys working in a structured environment and takes pride in accuracy and consistency. The role involves recurring daily tasks, process-driven workflows, and close collaboration with portfolio managers, trading teams and internal and external operations teams to ensure portfolios remain aligned with established models and guidelines.

The successful candidate will gain hands-on experience in portfolio implementation, ETF, mutual fund and institutional account operations and risk monitoring.

The main responsibilities of the role:
  • Support daily portfolio implementation activities across over 150 accounts, including assisting with rebalancing, cash management, currency management, and model updates across Mutual Funds, ETFs, SMAs, and Index Funds.
  • Monitor portfolios relative to target allocations and tolerance bands; prepare rebalancing files and supporting documentation.
  • Assist with subscription and redemption activity for Mackenzie passive and active ETFs, including in-kind and cash processing
  • Conduct daily checks to ensure portfolio data accuracy and compliance with investment guidelines.
  • Monitor tracking error, tracking difference and other portfolio metrics; escalate discrepancies when identified
  • Maintain and update internal reports, spreadsheets, and quantitative tools used for portfolio monitoring.
  • Assist in documenting processes and identifying opportunities to improve workflow efficiency.

Minimum requirements for this role include:
  • Strong attention to detail and commitment to producing accurate work in a high-volume environment.
  • Comfortable working with high transaction volumes and large dollar values where precision is essential.
  • Operational understanding of equities and derivatives trade management and how capital markets function.
  • Strong proficiency in Microsoft Excel (including data analysis, formulas and reconciliation work)
  • Organized, dependable, comfortable performing structured, process-driven tasks on a daily basis.
  • Strong analytical and problem-solving skills.
  • Experience with portfolio management systems, tools, and operational workflows.
  • Bachelor's degree from an accredited university in a quantitative discipline (e.g., Finance, Economics, Mathematics, Engineering, Computer Science, or similar).
  • Working knowledge of Python (including Pandas) and basic database concepts (SQL) preferred.
  • Familiarity with trading or portfolio management systems (e.g., Bloomberg AIM) is an asset.
  • Completion or progress towards completion of the CIM or CFA designation is an asset.
  • Strong communication skills and ability to work in a team environment.


The expected annual base salary range for this role is $80,000 - $120,000, which is determined based on skills, knowledge and experience. In addition to base salary, this role is eligible for annual short-term incentive, health and well-being benefits, retirement and savings plan, paid time off and career development.

Benefits:
  • COMPETITIVE COMPENSATION & RECOGNITION: competitive base salary, performance-weighted bonus, education/career support, option to join Employee Share Purchase Plan with employer matching component.
  • EMPLOYEE BENEFITS & INSURANCE: competitive health and dental coverage, flexible plan for you and your family and short-term & long-term disability plans.
  • RETIREMENT SAVINGS PROGRAMS: voluntary Group RRSP enrolment with employer matching component.
  • WORK LIFE BALANCE: paid volunteer days, competitive time off including 10 wellness days off, WorkPerks discount program, hybrid & flex work arrangements.
  • INCLUSIVE CULTURE AND DIVERSITY: living our core values: Be a Team, Be Accountable, Be Better, engaging with community through Business Resource Groups (BRG communities are volunteer employee-led groups formed around a common interest, identity, or background).


How to Apply: Interested candidates are invited to submit their resume and a cover letter detailing their qualifications and experience to https://www.mackenzieinvestments.com/en/careers.

Artificial Intelligence in Recruitment: As part of our Talent Acquisition process, we may use artificial intelligence and automated tools to support activities such as candidate sourcing, application review, and interview scheduling. These tools support the recruitment process; all hiring decisions are made by people.

Please apply by September 16 2026.

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