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Python For Finance Jobs in British Columbia (NOW HIRING)

KPMG

Data Support Senior Consultant

Vancouver, BC

... Python) for financial analysis * SQL code scripting, including creation/implementation of API's and debugging ability. * Proficiency and knowledgeable with analytics and visualization tools such as ...

TMX Group

Full Stack Developer

Vancouver, BC · Hybrid

Professional proficiency in PHP and Python for new application development. * Cloud Foundations ... Excitement - Explore emerging technology and innovation, as well as ventures and digital finance ...

Fortinet

Staff C Programmer (Linux Platform)

Burnaby, BC

CA$140K - CA$171K/yr

Write and maintain automation scripts in Bash and Python * Review code for correctness, efficiency ... financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with ...

Clio

Senior Systems Developer, IT.

Vancouver, BC · On-site

Identify opportunities for automation across finance operations and implement solutions using code ... Ruby * Python * Golang * Bash * Direct experience working with finance systems such as NetSuite ...

Intact Financial

Data Scientist

Vancouver, BC · Hybrid

In return, we promise to provide support, opportunities and performance-led financial rewards at a ... Extensive experience using Python for data analysis, modeling, and building production-grade ML ...

AfterShip

Revenue Strategy Analyst

Vancouver, BC · On-site

Preferred tooling: workflow automation platforms (n8n, Zapier, Workato, or Make), Python for data ... CS, and Finance stakeholders * Strong storytelling and executive communication, including the ...

Nucleus

Forward Deployed AI Engineer

Vancouver, BC · On-site

... for someone who is as comfortable presenting to a small business owner as they are writing Python ... You can explain a vector database to a CFO without losing them. Preferred Skills and Qualifications

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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

Software Engineer (Rust + Python)

Whistler Trading

Surrey, BC

CA$100K/yr

Other

Posted 18 days ago

Job description

About Whistler Alpha Research

Whistler Alpha Research is a research arm of Whistler Trading, a systematic proprietary trading firm
founded by industry leaders who previously built some of the most successful businesses in quantitative
finance and high-frequency trading. We're on a mission to build elite trading systems and infrastructure
with unmatched speed, efficiency, and performance.

The Role

We are seeking a Graduate Software Engineer with a passion for building high-performance systems
and solving complex computational problems. This role is designed for exceptional graduates from top
Canadian universities who are eager to learn, grow, and make an impact from day one.

You will work closely with experienced engineers and researchers to design and implement cutting-edge
software that underpins our trading research and execution systems. The role combines software
craftsmanship, analytical rigor, and an interest in financial markets.

What You'll Do
  • Design and implement components of a high-frequency and mid-frequency trading (HFT/MFT)
    research platform     in Rust and Python
  • Solve challenging high-performance computing (HPC) problems, with a focus on speed,
    throughput, and scalability
  • Build infrastructure for data analysis at scale
  • Collaborate with researchers and senior engineers to develop new tools and insights
  • Continuously learn and improve through rapid feedback loops and mentorship from industry experts
Qualifications
  • A Bachelor's or Master's degree in Computer Science, Mathematics, or related field
  • Strong programming ability in Rust and Python 
  • Interest in low-latency systems, parallel programming, and high-performance computing
  • Demonstrated problem-solving skills (through coursework, projects, internships, or competitions)
  • Clear communicator who thrives in fast-paced, collaborative environments
  • Graduates from UBC, University of Toronto, McGill and all leading Canadian Institutions are highly encouraged to apply
Why Whistler?
  • Work with the best in the industry
  • No politics, just performance
  • Rapid feedback loops, real impact
  • Long-term opportunity with significant growth potential
Compensation

Base salary of CA$100,000 per year, plus eligibility for a performance-based discretionary bonus.

Apply