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Python For Finance Jobs in Ontario (NOW HIRING)

Dialpad

Analytics Engineer

Kitchener, ON · On-site

... Finance, Product, Engineering, Customer Support, Marketing, Legal, HR, and Sales. The team is ... Proficiency in Python for data exploration and analysis. * Hands-on experience with Agile Software ...

Patch & Permasearch

Senior Network Engineer

Toronto, ON · Hybrid

Professional experience in Banking, Financial Services, or a Retail environment. Experience with SD-WAN implementation and management. Scripting experience (Python) for network task automation. Azure ...

Td

CA$75K/yr

We are looking for individuals who are curious and intellectually driven, strong problem-solvers ... Familiarity with Python, SQL, Databricks, and GitHub * Foundational understanding of AI, automation ...

Sun Life Financial

Senior Financial Analyst

Toronto, ON · Hybrid

As part of a dynamic team of Finance professionals, the Senior Financial Analyst will assist in ... Utilizedata drivenmodels to report outcomes for financial and non-financialmetrics including value ...

Adastra Corporation

Pod Lead

Thornhill, ON · Remote

Proficiency in Python for automation, AI, or data processing use cases * Solid experience with ... Adastra serves clients across key industries including financial services, automotive ...

Sun Life Financial

Senior Financial Analyst

Toronto, ON · Hybrid

As part of a dynamic team of Finance professionals, the Senior Financial Analyst will assist in ... Utilizedata drivenmodels to report outcomes for financial and non-financialmetrics including value ...

Sun Life Financial

Senior Financial Analyst

King, ON · Hybrid

As part of a dynamic team of Finance professionals, the Senior Financial Analyst will assist in ... Utilizedata drivenmodels to report outcomes for financial and non-financialmetrics including value ...

Sun Life Financial

Senior Financial Analyst

King, ON · Hybrid

As part of a dynamic team of Finance professionals, the Senior Financial Analyst will assist in ... Utilizedata drivenmodels to report outcomes for financial and non-financialmetrics including value ...

Td

Python Developer / Engineer (US)

Toronto, ON · On-site

CA$81K - CA$115K/yr

Leverage deep technology expertise for own area of specialization to deliver and ensure that all ... TD is one of the world's leading global financial institutions and is the fifth largest bank in ...

Synechron

QA Automation Engineer

Toronto, ON · Hybrid

CA$100K - CA$110K/yr

... financial services and technology firms. Through research and development initiatives in our ... Proficiency in Java or Python for test automation. * Experience with data validation and SQL.

Td

Data Scientist II

Toronto, ON

CA$81K - CA$115K/yr

Advanced proficiency in SQL, Python for data analysis, automation, and reporting * 2+ years of ... TD is one of the world's leading global financial institutions and is the fifth largest bank in ...

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Python For Finance information

What is the difference between Python For Finance vs Quantitative Analyst?

AspectPython For FinanceQuantitative Analyst
Required CredentialsPython skills, finance knowledge, possibly finance-related certificationsAdvanced degrees (e.g., MSc, PhD) in finance, mathematics, or related fields; certifications like CFA
Work EnvironmentFinancial firms, trading desks, investment banks, hedge fundsFinancial institutions, hedge funds, asset management firms, consulting
Employer & Industry UsageUsed for developing trading algorithms, risk modeling, data analysisDevelops quantitative models, risk assessments, trading strategies

Python For Finance focuses on using Python programming to analyze financial data and develop models, often as a technical skill. Quantitative Analysts, however, apply advanced mathematical and statistical techniques to create complex financial models. While both roles require strong analytical skills, Quantitative Analysts typically have higher-level degrees and certifications, and their work involves more theoretical modeling. Python For Finance is often a skill within a Quantitative Analyst's toolkit, but the roles differ in scope and depth.

How does a Python for Finance professional typically collaborate with other departments within a financial organization?

Python for Finance professionals frequently work alongside departments such as data analytics, risk management, and portfolio management. They often translate complex financial models into scalable code, automate data processes, and support decision-making by providing actionable insights through data analysis. Effective communication and collaboration are essential, as these professionals must understand the specific needs of stakeholders and ensure that technical solutions align with business objectives. Regular meetings, code reviews, and cross-functional project teams are common structures within the work environment.

What is Python for Finance?

Python for Finance refers to the use of the Python programming language for financial analysis, modeling, trading, and data visualization. Financial professionals use Python to automate data processing, analyze large financial datasets, build quantitative models, and develop trading algorithms. Its vast ecosystem of libraries such as Pandas, NumPy, and Matplotlib makes Python a popular choice in the finance industry for tasks ranging from risk management to portfolio optimization.

What are the key skills and qualifications needed to thrive as a Python Developer in Finance, and why are they important?

To thrive as a Python Developer in Finance, you need strong programming skills in Python, a solid understanding of financial concepts, and often a degree in computer science, finance, or a related field. Familiarity with financial libraries (such as pandas, NumPy, and QuantLib), databases, and version control systems is typically required, and certifications in data science or finance can be advantageous. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting financial data and collaborating with cross-functional teams. These skills are essential to develop robust financial solutions, ensure data accuracy, and drive informed decision-making in a highly regulated and data-driven industry.
Python For Finance jobs near you
Analytics Engineer

Analytics Engineer

Dialpad

Kitchener, ON • On-site

Other

Posted 16 days ago

Job description

Your role
As an Analytics Engineer, you will collaborate with business stakeholders across various departments to effectively leverage big data and provide accurate, actionable insights that address key business questions. This role is based in and reports to the Sr Manager, Analytics Engineering in Argentina. The candidate must be available to work during California overlapping hours (9AM to 5PM PST).

Dialpad's data team acts as a centralized hub, supporting the analytics and business intelligence needs of all global departments such as Finance, Product, Engineering, Customer Support, Marketing, Legal, HR, and Sales. The team is responsible for data ingestion, ensuring data quality, managing data engineering, and delivering business analytics services, including report automation and descriptive and predictive analytics. Dialpad's data team operates from four global hubs located in the US, Canada, Argentina and India.

What you'll do

  • Work closely with the AI Transformation team and data analysts supporting different departments to build datasets and to deliver analyses that enable AI engineers to develop internal AI products and workflows.
  • Partner with cross-functional teams to analyze data from multiple sources and generate insights that inform strategic decision-making.
  • Perform exploratory data analysis, statistical modeling, and hypothesis testing to uncover trends and opportunities.
  • Develop and deploy predictive machine learning models to enhance product experiences, forecast business outcomes, and support growth initiatives.
  • Design and maintain a suite of automated, accurate, and reliable dashboards to enable self-service analytics.
  • Define data model requirements and document business logic to support the Data Engineering team in creating curated datasets for reporting and analysis.
  • Collaborate with internal and external stakeholders to improve data quality, accessibility, and usability.
  • Monitor business performance using automated dashboards and ad hoc analysis, delivering actionable insights to leadership.
  • Work with analysts and engineers across the organization to establish best practices and improve data processes and utilization.
  • Identify and drive opportunities for process improvement, efficiency gains, and cost optimization.

Skills you'll bring

  • 5+ years of advanced data analytics experience using big data.
  • Experience working directly with business stakeholders or AI Analysts to define requirements, drive analytics, and deliver effective insights.
  • Experience collaborating with Data Engineers, Business Analysts, and Team Leads, with a demonstrated track record of successfully working with offshore teams and delivering complex projects on time.
  • Advanced SQL development skills for data exploration and analysis.
  • Strong analytical and problem-solving skills.
  • Experience building effective visualizations and dashboard automations in an advanced BI tool like Tableau (preferred), PowerBI, DOMO or Looker.
  • Bachelor's degree in a technical or business field.
  • Expertise in product and financial data analysis.
  • Experience working in a Saas based technology company.
  • Experience in building and training machine learning models for business analysis use cases.
  • Familiarity with data modeling best practices and experience working with tools such as dbt.
  • Proficiency in Python for data exploration and analysis.
  • Hands-on experience with Agile Software Development methodologies and tools like Jira.
  • Working experience in cloud-based data platforms like GCP, AWS or Azure.

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