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Remote A&R Jobs in Ontario (NOW HIRING)

Qfin

Data Scientist

Toronto, ON · On-site +1

Role Overview As a Senior Credit Risk Modeling - Data Science, you will be an individual ... Proficiency in programming languages such as Python, R, or SAS; SQL experience essential. * Solid ...

New

NTENT

Machine Learning Engineer

Toronto, ON · Remote

Toronto, Ontario (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow ...

Databricks

Solutions Architect

Toronto, ON · On-site +1

... open to remote candidates in other locations in eastern Canada As a Solutions Architect at ... Python, Scala, Java, or R. * [Desired] Built solutions with public cloud providers such as AWS ...

NTT DATA Services

Speciality Seller IV

Toronto, ON · On-site +1

CA$144K - CA$287K/yr

NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

NTT DATA Services

Speciality Seller IV

Toronto, ON · On-site +1

CA$144K - CA$287K/yr

NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

NTT DATA Services

Project Manager

Tiverton, ON · On-site +1

NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

NTT DATA Services

Project Manager

Tiverton, ON · On-site +1

NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

The Descartes

Product Analyst

Waterloo, ON · Remote

CA$70K - CA$80K/yr

... for R&D. • Collaborate with UX/UI teams on mockups and prototypes for new features. • Act as ... This is a remote opportunity open to individuals who are legally entitled to work in Canada or the ...

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All JobsA R JobsRemote A&R JobsRemote A&R Jobs in Ontario

Remote A R information

See Ontario salary details

$9

$26

$62

How much do remote a&r jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote a&r in Ontario is $26.88, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $28.85 per hour, depending on experience, location, and employer.

What is a Remote A&R job?

A Remote A&R (Artists and Repertoire) job involves discovering new musical talent, evaluating demos, and helping develop artists—entirely from a remote location. Responsibilities may include scouting musicians online, networking with industry professionals, and recommending artists for record labels or music companies. Remote A&Rs use digital platforms like social media, streaming services, and online music communities to identify emerging talent. They may also provide feedback to artists on their sound and marketability. This role requires a strong ear for music trends and the ability to spot potential hits.

What are the main responsibilities and challenges of working as a Remote A&R?

As a Remote A&R, your primary responsibilities include identifying and evaluating emerging musical talent, nurturing artist relationships, and collaborating with producers and label teams—all while working from a remote location. One common challenge is building strong connections and trust with artists and colleagues without in-person meetings, requiring excellent digital communication skills. You’ll often review music submissions, conduct virtual scouting on social platforms, and participate in online meetings to pitch and discuss new talent. Adaptability and self-motivation are important, as you manage your own schedule and proactively seek out potential artists in a highly competitive and fast-paced industry.

What are the key skills and qualifications needed to thrive in the Remote A&R position, and why are they important?

To thrive as a Remote A&R (Artists and Repertoire), you need a strong ear for talent, deep knowledge of music trends, and experience with artist development, often supported by a background in music business or related fields. Familiarity with digital audio workstations (DAWs), music analytics platforms, and CRM systems is essential, along with an understanding of online scouting tools. Outstanding communication, negotiation, and relationship-building skills are key for networking and guiding artists remotely. These qualities are crucial for identifying promising talent, managing artist relationships, and ensuring successful collaborations in a virtual environment.

What are the most commonly searched types of A&R jobs in Ontario? The most popular types of A&R jobs in Ontario are:
What are popular job titles related to Remote A&R jobs in Ontario? For Remote A&R jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Remote A&R jobs in Ontario look for? The top searched job categories for Remote A&R jobs in Ontario are:
Remote A R jobs near you
Infographic showing various Remote A&R job openings in Ontario as of June 2026, with employment types broken down into 59% Full Time, 39% Part Time, and 2% Contract. Highlights an 100% Remote job distribution, with an average salary of $55,906 per year, or $26.9 per hour.

Data Scientist

Qfin

Toronto, ON • On-site, Remote

Other

Posted 2 days ago

Job description

Role Overview

As a Senior Credit Risk Modeling – Data Science, you will be an individual contributor responsible for developing, validating, and maintaining predictive credit risk models for our unsecured personal lending products. You will work closely with data science, risk, and business teams to optimize risk strategies and enhance the overall credit decisioning framework.


Key Responsibilities

  • Lead the development of credit risk predictive models (e.g., PD, LGD, EAD, propensity to default, credit scoring models) for lending business.
  • Conduct in-depth data analysis and feature engineering using internal and external data sources to improve model performance.
  • Validate, back-test, and monitor existing credit risk models to ensure predictive accuracy and regulatory compliance.
  • Partner with business and operations teams to integrate model outputs into lending strategies and decisioning processes.
  • Develop and maintain documentation for model development, validation, and governance purposes in line with regulatory expectations.
  • Provide insights on portfolio risk trends, early warning indicators, and potential loss drivers.
  • Mentor junior analysts and contribute to building a strong modeling and analytical culture within the team.


Required Qualifications & Experience

  • Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Data Science, or a related quantitative field.
  • 5–7 years of experience in credit risk modeling within a lending environment.
  • Strong expertise in statistical modeling, machine learning, and predictive analytics (e.g., logistic regression, decision trees, gradient boosting, neural networks).
  • Proficiency in programming languages such as Python, R, or SAS; SQL experience essential.
  • Solid understanding of credit risk concepts, portfolio management, and lending business processes.
  • Excellent problem-solving, communication, and stakeholder management skills. Preferred Skills


Preferred

  • Experience with cloud-based data platforms or modern analytics tools.
  • Familiarity with alternative data usage in credit risk models.
  • Exposure to model governance and audit processes in regulated financial institutions.
  • Experience with model validation frameworks and regulatory compliance requirements in Canada (OSFI) or equivalent international standards.


What We Offer

  • Competitive base salary + performance bonus + equity package.
  • Fast-growth startup environment with direct impact on product and P&L.
  • Flexible work model (hybrid/remote options).
  • Learning budget, health benefits, and team culture focused on data and innovation.

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