1

Algorithmic Jobs in Toronto, ON (NOW HIRING)

Utilize an extensive understanding of AI and machine learning to develop predictive models and algorithmic solutions. Build analytical solutions for complex P&C claims operations. * Collaborate with ...

Proven experience tackling complex marketing data problems, such as algorithmic budget pacing, LTV prediction pipelines, or AI-driven media optimization systems. * Strong foundation in statistical ...

You know how to apply insights from the underlying mathematics (Toeplitz matrices, spectral bandwidth, M-estimators) to design robust numerical algorithms that operate on data from real-world sensors ...

Conducting comparisons to existing algorithms and baselines; * Reviewing, extending, and optimizing prototype solutions; * Collaborating with the engineering team to integrate algorithms into ...

Essential Duties/Tasks of Position: -Support development of advanced engine performance condition trend monitoring algorithms -Analyze steady state and transient engine trend data in support of ...

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will collaborate with ...

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will collaborate with ...

We are looking for a highly motivated and experienced machine learning engineer to join our team and help us develop and deploy deep learning and reinforcement learning algorithms at scale. As a ...

You understand how Meta's algorithm responds to creative velocity, cost control architecture, audience structure, and budget scaling - and you can translate that understanding into compounding ...

Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have ...

Develop and enhance algorithms for efficient data movement, local data processing, job submission, and synchronization between various software and hardware components. * Optimize our workloads using ...

Develop and implement machine learning algorithms and models * Analyze and interpret large data sets to identify trends and patterns * Design and implement scalable and automated pipelines for model ...

The ideal candidate brings deep expertise in synthesis algorithms and RTL optimization, combined with strong leadership experience and a proven ability to deliver complex EDA solutions at scale. Key ...

next page

Showing results 1-20

Algorithmic information

See Toronto, ON salary details

$76.3K

$148.7K

$344K

How much do algorithmic jobs pay per year?

As of Jun 16, 2026, the average yearly pay for algorithmic in Toronto, ON is $148,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,886.00 and $154,125.00 per year, depending on experience, location, and employer.

How to get into algotrading?

To get into algorithmic trading, develop strong programming skills in languages like Python or C++, learn quantitative finance and trading strategies, and gain experience with trading platforms and data analysis tools. A background in mathematics, statistics, or computer science is often essential, and internships or entry-level roles can provide practical experience in the field.

What are algorithmic jobs?

Algorithmic jobs involve designing, analyzing, and implementing algorithms to solve specific problems or optimize processes. Professionals in these roles often work in fields like computer science, finance, and engineering, where they create solutions for data processing, automation, or trading systems. These jobs require strong analytical skills, proficiency in programming languages, and a solid understanding of mathematical concepts. Algorithmic roles can range from developing search algorithms for software applications to creating automated trading strategies in financial markets.

What are some common challenges faced by professionals in algorithmic roles, and how can these be addressed?

Professionals in algorithmic roles often encounter challenges such as optimizing algorithms for efficiency, managing large and complex data sets, and ensuring their solutions scale well in production environments. Collaborating closely with data engineers, software developers, and product teams is essential to address these issues. Keeping up-to-date with the latest advancements through continuous learning and code reviews, as well as leveraging peer feedback, can help overcome technical hurdles and improve algorithm performance.

What are the key skills and qualifications needed to thrive as an Algorithmic Trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often in Python, C++, or R), and financial markets, typically supported by a degree in finance, mathematics, computer science, or a related field. Familiarity with trading platforms, statistical modeling tools, and certifications like CFA or FRM can enhance your expertise. Analytical thinking, attention to detail, and strong decision-making skills set top performers apart in this competitive field. These skills ensure the development, testing, and execution of effective trading strategies in rapidly changing market environments.

How much do Algo traders earn?

Algorithmic traders typically earn a base salary ranging from $80,000 to $150,000 annually, with total compensation often including performance bonuses that can significantly increase earnings. Experienced traders with strong programming skills and a successful track record can earn over $200,000 per year. Compensation varies based on firm size, location, and individual performance.

How much do algorithmic quants make?

Algorithmic quants, or quantitative analysts specializing in algorithmic trading, typically earn between $100,000 and $200,000 annually at entry-level, with experienced professionals earning over $300,000 including bonuses. Compensation varies based on experience, firm size, location, and performance, and often includes bonuses tied to trading profits. Strong programming skills in languages like Python or C++ and a background in finance or mathematics are essential for these roles.

What careers use algorithms?

Algorithmic skills are essential in careers such as software development, data science, machine learning engineering, and quantitative analysis. These roles involve designing, analyzing, and implementing algorithms to solve complex problems, often requiring knowledge of programming languages like Python or C++ and understanding of data structures and computational complexity.

What is the difference between Algorithmic vs Data Analyst?

AspectAlgorithmicData Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentTech companies, finance, research labs; focus on coding and algorithm developmentBusiness, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageUsed in software development, quantitative research, AIUsed in marketing, finance, healthcare for data-driven decisions

While both roles involve working with data, Algorithmic professionals primarily develop algorithms and coding solutions, often in technical environments. Data Analysts focus on analyzing data sets to generate insights and reports. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Algorithmic jobs in Toronto, ON? For Algorithmic jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Algorithmic jobs in Toronto, ON look for? The top searched job categories for Algorithmic jobs in Toronto, ON are:
Infographic showing various Algorithmic job openings in Toronto, ON as of June 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $148,688 per year, or $71.5 per hour.
Senior Data Scientist

Senior Data Scientist

Chubb

Toronto, ON • On-site

Full-time

Posted 8 days ago


Chubb rating

8.1

Company rating: 8.1 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

133rd of 261 rated insurance


Job description

Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally. 

Key Objective:

The Global Analytics team is seeking a Sr. Data Scientist to join our fast-paced, dynamic team responsible for developing and delivering machine learning models and AI solutions in Claims space. Our work directly impacts our business partners and positively influence business metrics.  

This position offers the opportunity to leverage the entire spectrum of AI tools including transformer-based models, LLMs and RAG-based approaches towards solving a wide variety of business problems at Chubb. The role further requires one to be proficient in managing and leading projects from conception to completion.

Major Responsibilities:

  • Utilize an extensive understanding of AI and machine learning to develop predictive models and algorithmic solutions.
    Build analytical solutions for complex P&C claims operations.
  • Collaborate with claims business partners and peers in the organization to understand and scope the problem, gather business requirements, and plan projects tasks and timelines.
  • Build data pipelines to create insurance specific risk signals from external data sources.
  • Develop AI Ops processes for efficient development and deployment of models.
  • Research, recommend, and implement AI methodologies appropriate for the given risk assessment problem or analysis.
  • Mentor junior data scientists towards improving their domain knowledge, modeling capabilities, and developing problem solving skills.
  • Lead end-to-end projects using advanced data modeling and analysis techniques to discover insights that guide strategic decisions and uncover opportunities.
  • At least 5 years' experience in quantitative analytics or predictive modeling. P&C insurance experience is a plus.
  • Bachelor's or Master's degree in a computational science or statistical field is preferred.
  • Extensive knowledge and experience in developing and implementing machine learning algorithms and models.
  • Deep understanding of statistical and predictive modeling concepts, machine learning algorithms, data mining, unstructured data analytics, and its mathematics.
  • Proficiency in scripting languages: Python; database languages: SQL.
  • Proven ability to drive business results with data-based insights.
  • Strong problem-solving skills with an emphasis on product development.
  • Excellent written and verbal communication skills.

At Chubb we are committed to providing equal employment opportunities to all employees and applicants. It is our policy to provide equal employment opportunities to employees and applicants based on job-related qualifications and ability to perform a job. If you require an accommodation during the hiring process or upon hire, please inform Human Resources.  If a selected applicant requests accommodation during the recruitment process, Chubb will consult with the applicant in order to provide suitable accommodation that takes into account the applicant's accessibility needs.


What Chubb employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Chubb logo

About Chubb

Sourced by ZipRecruiter

Chubb is the world's largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. We are a unique global organization with a culture of individuals passionately committed to our respective crafts. With underwriting at our core, each of us contributes to providing the best insurance coverage and service to our clients. Our highly collaborative, inclusive nature helps us drive better business outcomes through diversity of background, experiences, insights and values.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Warren, NJ, US