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Remote Data Analyst Fintech Jobs in Toronto, ON (NOW HIRING)

Data Scientist - AI Evaluation

Toronto, ON ยท Remote

CA$100 - CA$150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science deliverables. This includes exploratory data analyses , statistical modeling work , machine learning ...

Are you a detail-oriented problem solver who enjoys working with data? Do you thrive in a fast ... Remote within Canada. Flex of hours may occasionally be required to accommodate clients in other ...

You will partner closely with executive leadership and teams across Engineering, Product, Data ... Experience in fintech, payments, financial services, or another high-scale, highly regulated ...

Data Scientist - AI Evaluation

Toronto, ON ยท Remote

CA$100 - CA$150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses , statistical modeling work , machine learning ...

25-199 - Data Engineer

Oshawa, ON ยท Remote

$85 - $95/hr

... remote) Job Overview As an Azure and Databricks Data Engineer, you will be responsible for ... Support Business Intelligence Analysts in modelling data for visualization and reporting, using ...

... remote) Job Overview As a Senior Data Developer, you will be responsible for building and ... Support Business Intelligence Analysts in modelling data for visualization and reporting, using ...

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

As a Support Analyst, you'll investigate complex application issues, collaborate with teammates ... Customer issues can span application functionality, data, integrations, environments, databases ...

As a Support Analyst, you'll investigate complex application issues, collaborate with teammates ... Customer issues can span application functionality, data, integrations, environments, databases ...

As a Support Analyst, you'll investigate complex application issues, collaborate with teammates ... Customer issues can span application functionality, data, integrations, environments, databases ...

As a Support Analyst, you'll investigate complex application issues, collaborate with teammates ... Customer issues can span application functionality, data, integrations, environments, databases ...

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

As a Support Analyst, you'll investigate complex application issues, collaborate with teammates ... Customer issues can span application functionality, data, integrations, environments, databases ...

Showing results 21-40

Remote Data Analyst Fintech information

What does a remote data analyst in fintech do?

A Remote Data Analyst in Fintech is responsible for collecting, processing, and analyzing financial data to help companies make informed business decisions. They work with large datasets, identify trends, and generate actionable insights to improve financial products or services. This role often requires proficiency in data analysis tools, strong statistical skills, and an understanding of financial markets or payment systems. As the position is remote, communication and collaboration are typically conducted online using digital tools.

How does a remote data analyst in fintech typically collaborate with cross-functional teams?

As a Remote Data Analyst in fintech, you will regularly collaborate with product managers, engineers, and business analysts through virtual meetings and digital project management tools. Clear communication is essential, as you'll often translate complex data findings into actionable insights for non-technical stakeholders. Collaboration usually involves participating in sprint meetings, sharing dashboards, and providing real-time data support to optimize product features or enhance risk assessment processes. Building strong remote working relationships is key to ensuring alignment and timely delivery of analytics solutions.

What are the key skills and qualifications needed to thrive as a remote data analyst in fintech?

To thrive as a Remote Data Analyst in Fintech, you need strong analytical abilities, proficiency in statistics, and a background in finance, typically supported by a relevant degree. Expertise in technical tools such as SQL, Python, data visualization platforms (e.g., Tableau), and experience with financial modeling or risk analysis systems are often required. Strong problem-solving skills, attention to detail, and effective remote communication make candidates stand out in this role. These skills are crucial for delivering accurate data-driven insights that support financial decision-making and regulatory compliance in a fast-evolving industry.

What is the difference between Remote Data Analyst Fintech vs Remote Data Analyst Banking?

AspectRemote Data Analyst FintechRemote Data Analyst Banking
CredentialsBachelor's in Data Science, Finance, or related fields; certifications like CFA or Microsoft Data certificationsBachelor's in Finance, Economics, or Data Science; similar certifications often preferred
Work EnvironmentStartups, tech companies, online platforms in financial technologyTraditional banks, financial institutions, online banking services
Industry UsageUsed in innovative financial apps, digital payment platforms, and online lendingApplied in retail banking, investment banking, and financial services

The main difference between a Remote Data Analyst Fintech and a Remote Data Analyst Banking lies in their industry focus. Fintech analysts work primarily with innovative financial technology companies, while banking analysts are employed within traditional banking institutions. Both roles require similar skills and certifications but differ in work environment and industry applications.

What are popular job titles related to Remote Data Analyst Fintech jobs in Toronto, ON?

For Remote Data Analyst Fintech jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst Fintech jobs in Toronto, ON look for?

The top searched job categories for Remote Data Analyst Fintech jobs in Toronto, ON are:

Infographic showing various Remote Data Analyst Fintech job openings in Toronto, ON as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 100% Remote job distribution.

Data Scientist - AI Evaluation

Mercor

Toronto, ON โ€ข Remote

CA$100 - CA$150/hr

Full-time

Posted 12 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: Data Scientist Talent Network
Type: Contract
Compensation: $100–$150/hour
Location: Remote

Role Responsibilities

  • Design precise, task-specific grading criteria for data science deliverables. This includes exploratory data analyses, statistical modeling work, machine learning pipelines, and technical reports.
  • Evaluate AI-generated or human-created work against established criteria to ensure quality and accuracy.
  • Provide detailed written justifications for evaluations and scores to maintain transparency.
  • Apply consistent, evidence-based judgment for reproducible and defensible assessments.
  • Incorporate structured feedback from senior reviewers and iterate on submitted work for continuous improvement.

Qualifications

Must-Have

  • 1+ years of professional data science experience.
  • Experience at a leading technology, research, or quantitative firm.
  • Strong command of Python, SQL, statistical modeling, and machine learning.
  • Exceptional written communication skills for conveying technical findings.
  • Detail-oriented and consistent approach to evaluating complex work.

Application Process (Takes 20–30 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.