1

Financial Analyst Python Commission Jobs in Toronto, ON

Senior Analyst Finance

Toronto, ON · On-site

CA$61K - CA$113K/yr

Finance & Accounting We are hiring a Senior Analyst, Finance (Reporting) to join a highly ... For commission roles, the salary listed above represents BMO Financial Group's expected target for ...

Reporting to the Director of Valuation, the Investment Senior Analyst will play a key role within ... g., Python, Power Query) is a plus * Bachelor's degree in Finance, Accounting, Business ...

Lead Analyst

Richmond Hill, ON · On-site

CA$86K - CA$130K/yr

This role is great for a finance professional who thrives on working with complex data, uncovering ... including variable and commission compensation opportunities for eligible roles, vacation ...

Python Developer

Toronto, ON · Hybrid

CA$110K - CA$120K/yr

... analytics solutions across asset management platforms. The role will focus on building robust ... Build and optimize data pipelines for large-scale financial datasets (market data, portfolio data ...

The primary responsibility of this role is to provide insightful business and financial information ... Prepare reconciliations for commissions, receivables and payables based on the cadence of available ...

We offer independent financial advisory and investment banking services to both private and public companies. Acting independently of financing sources, we provide clients with pure, objective advice ...

Manager, Financial Analysis

Toronto, ON · Hybrid

CA$130K - CA$148K/yr

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Manager, Financial Analysis About Capital ... At least 3 years of experience using SQL, Python, or a combination Working at Capital One. Enjoy a ...

next page

Showing results 1-20

Financial Analyst Python Commission information

What is the difference between Financial Analyst Python Commission vs Financial Analyst Excel Commission?

AspectFinancial Analyst Python CommissionFinancial Analyst Excel Commission
Required SkillsPython programming, data analysis, scriptingExcel, data manipulation, formulas
CertificationsPython certifications, CFA often preferredExcel certifications, CFA often preferred
Work EnvironmentData analysis, coding, automation tasksData reporting, spreadsheet analysis
Industry UsageFinance, investment firms, tech companiesBanking, corporate finance, investment firms

Both roles involve financial analysis but differ mainly in technical tools. The Python version emphasizes programming and automation, while the Excel version focuses on spreadsheet skills. Candidates should choose based on their technical strengths and job requirements.

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:

Full-time

Posted 2 days ago


Job description

About Financial Modeling PrepFinancial Modeling Prep (FMP) stands at the forefront of the Fintech revolution, redefining how financial market data is accessed and utilized. As a premier Data as a Service (DaaS) provider, we cater to the diverse needs of the financial sector by delivering an extensive suite of market data and analytics solutions. Our mission is to equip businesses with the precise and comprehensive financial data necessary to develop cutting-edge applications, models, and tools.

At FMP, we empower our clients with unparalleled data accuracy and breadth, enabling them to make informed decisions and drive innovation.We are on the lookout for enthusiastic and forward-thinking professionals who are passionate about harnessing the power of technology to make financial market data accessible to everyone. Join us in our mission to democratize access to institutional grade financial information, and be a part of a dynamic team that is shaping the future of finance. Together, we can transform the way financial data is perceived and utilized, driving progress and innovation across the industry.Your Opportunity Undertake comprehensive analysis on extensive datasets to unveil trends, discern patterns, and uncover opportunities for enhancement -across our business operations.

Ensure the highest standards of data quality and integrity, through sound database design and record linkage techniques. Engage with diverse teams, understanding business needs and delivering data-driven insights for informed decision-making. Tackle intricate business challenges through both qualitative and quantitative analysis, demonstrating keen analytical acumen.

Key Responsibilities Working with data and numbers, especially understanding of quantitative analysis - Excel / Modeling experience is required Programming Languages is preferred but not required: Python, Javascript, Typescript Database Querying (SQL / NoSQL) is preferred but not required Data Visualization is preferred but not required - Retool, PowerBI, Tableau Required Skills and Qualifications Bachelor's degree in a relevant field such as Computer Science, Economics, Mathematics, Data Science or Engineering. 4+ Years with knowledge and experience in data preparation, data analysis, development, and validation with financial markets data, concepts, and information You have a proven track record of resolving complex business issues through insightful analysis. A detail-oriented professional with a passion for data accuracy and integrity.

An analytical thinker with strong problem-solving skills. Enthusiastic about financial markets and data-driven decision making. Capable of working independently as well as part of a team.

Committed to continuous learning and staying abreast of industry trends and advancements. Excellent communicator, able to articulate complex concepts to non-technical stakeholders. What We Offer An agile and fast-evolving work culture that champions professional growth and development.

A globally diverse and inclusive workplace with ample opportunities for career advancement. Competitive compensation, flexible work arrangements, and a relaxed dress code. Why Join Financial Modeling Prep?

Contribute to a leading-edge team in the fintech space, directly impacting the quality of financial market data. Engage with innovative data analysis tools and technologies. Thrive in a dynamic, agile work environment that encourages creativity and innovation.

Benefit from comprehensive training, professional growth opportunities, competitive compensation, and flexible work arrangements. Join a diverse and inclusive workplace, committed to equality and providing opportunities for all employees.