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Financial Analyst Python Full Time Jobs in Toronto, ON

Financial Analyst Senior

Toronto, ON ยท On-site

CA$100K - CA$115K/yr

Retirement Plan options available for Full Time employees along with a Company Match. * Variety of ... The Senior Financial Analyst provides financial insights to support operational performance ...

Senior Specialized Finance Analyst

Toronto, ON ยท Hybrid

CA$81K - CA$115K/yr

Strong analytical and technical skills, with ability to work with large and complex financial ... Advanced skills and experiences with Excel, VBA, Power BI, and Python * Foundational understanding ...

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Financial Analyst Python Full Time information

What is the difference between Financial Analyst Python Full Time vs Financial Analyst Excel Full Time?

AspectFinancial Analyst Python Full TimeFinancial Analyst Excel Full Time
Required SkillsPython programming, data analysis, scriptingExcel, data manipulation, formulas
Work EnvironmentData-driven, programming-focusedSpreadsheet-based, reporting
CertificationsOptional Python certifications, CFAExcel certifications, CFA
Industry UsageQuantitative analysis, automationFinancial reporting, budgeting

Financial Analyst Python Full Time roles focus on programming and automation using Python, ideal for data-heavy tasks. In contrast, Financial Analyst Excel Full Time positions emphasize spreadsheet skills for reporting and analysis. Both roles often require similar certifications like CFA and are used across finance sectors, but Python roles lean more towards technical automation, while Excel roles focus on traditional financial modeling.

What does a Financial Analyst Python Full Time do?

A Financial Analyst Python Full Time is a professional who uses Python programming to analyze financial data, create models, and generate reports to support business decisions. They work full-time, typically in corporate finance, investment firms, or banks, leveraging Python to automate data collection, perform statistical analysis, and visualize financial trends. Their role combines financial expertise with technical skills to improve efficiency, forecast trends, and provide actionable insights for their organization.

How does a Financial Analyst utilizing Python typically collaborate with other departments within a company?

As a Financial Analyst working with Python, you'll often collaborate closely with teams such as accounting, data engineering, and business operations. You may be tasked with automating financial reports, developing data models, or providing actionable insights based on large datasets, all of which require clear communication and coordination with colleagues. Regular meetings and cross-functional projects are common, as your analyses help inform decisions made by leadership and other stakeholders. Proficiency in Python allows you to streamline processes and present complex data in a more accessible way, making your contributions valuable across multiple departments.

What are the key skills and qualifications needed to thrive as a Financial Analyst specializing in Python, and why are they important?

To thrive as a Financial Analyst with a focus on Python, you need strong analytical skills, a deep understanding of financial concepts, and proficiency in Python programming, typically backed by a degree in finance, economics, or a related field. Experience with data analysis tools (such as Pandas, NumPy, and Excel), financial modeling software, and relevant certifications like CFA or FMVA are highly beneficial. Attention to detail, problem-solving ability, and effective communication help you interpret data insights and present findings clearly to stakeholders. These competencies enable accurate analysis, automation of financial processes, and data-driven decision-making that drive organizational success.
What are the most commonly searched types of Financial Analyst Python jobs in Toronto, ON? The most popular types of Financial Analyst Python jobs in Toronto, ON are:
Investment Analyst - Financial Modeling

Investment Analyst - Financial Modeling

Mercor

Toronto, ON โ€ข Remote

CA$105/hr

Full-time

Posted 17 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Junior Investment Analyst (Buy-Side)
Type: Contract
Compensation: $105/hour
Location: Remote
Commitment: 10โ€“20 hours/week

Role Responsibilities

  • Conduct equity and macroeconomic research across sectors to support AI model training.
  • Build and interpret financial models (DCF, comps, scenario analysis) to enhance AI reasoning.
  • Analyze earnings reports, filings, and market data for improved model outputs.
  • Assist in generating investment theses and risk assessments to refine AI-generated outputs.
  • Evaluate AI-generated outputs for financial accuracy and reasoning quality.
  • Collaborate with senior experts to refine model outputs and datasets.

Qualifications

Must-Have

  • 1โ€“3 years of experience in investment banking, equity research, or buy-side roles.
  • Strong understanding of financial statements and valuation techniques.
  • Proficiency in Excel; familiarity with financial modeling.
  • Clear written and verbal communication skills.
  • High attention to detail and analytical rigor.

Preferred

  • CFA Level I/II candidate.
  • Exposure to public equities or asset management.
  • Experience with data analysis tools (Python, SQL).

Application Process (Takes 20โ€“30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.