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Added 4 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 4 days ago
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Transportation Planner
HDR
Calgary, AB · Vancouver, BC · Burlington, ON · Richmond Hill, ON · Toronto, ON
- Full-time
Data processing, analytics, and visualization
Added 4 days ago
BT
IT & Innovation Consultant, SR&ED
Baker Tilly Canada
Windsor, ON
- Full-time
Degree or diploma in computer science, software engineering, information systems, computer engineering, data analytics, or a related technology discipline.
Added 4 days ago
S&
Senior Grid Interconnection Consultant
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
…outcomes for our clients. Depending on the role, employees may use data, automation, artificial intelligence, and other digital tools to support research, analysis, engineering and design…
Added 4 days ago
AS
Senior Software Development Engineer in Test (SDET) – Digital Banking
Aequilibrium Software Inc.
Remote, Canada
- $100,000 to $120,000 CAD / year
- Full-time
- Remote
Aequilibrium is a Canadian digital transformation and software engineering company specializing in digital banking, financial services, customer experience, and emerging technologies. We…
Added 4 days ago
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Senior Software Developer - Workflows
Verily
Waterloo, ON
- Full-time
At the intersection of technology, data science, and healthcare, Verily Health transforms complex health data into trusted intelligence, enabling health solutions that are more personal,…
Added 4 days ago
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Software Developer (Full-Time, Remote – Canada)
Tealbite
Remote, Canada
- $60,000 to $100,000 CAD / year
- Full-time
- Remote
We are looking for a skilled and motivated Software Developer to join our engineering team. You will be responsible for designing, developing, testing, integrating, and maintaining scalable…
Added 4 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 4 days ago
AS
Applied Scientist, ITA-Global Hiring Science
Amazon Science
Vancouver, BC
- Full-time
…hiring, offering opportunities to both apply and develop ML engineering skills in a production…
Added 4 days ago
T&
Director Information Management
Turner & Townsend
Toronto, ON
- Full-time
…including Program Management Information Systems (PMIS) and Data…
Added 4 days ago
SG
Electronics Engineer
Sander Geophysics
Ottawa, ON
- Full-time
Department Engineering Reports to Engineering Manager Location Ottawa office
Added 4 days ago
SS
Head of R&D
Seller Snap, Inc.
Brampton, ON · Regional Municipality of Peel, ON
- Full-time
Strong hands-on backend experience, ideally in Python, building data-heavy systems and reviewing others’ work.
Added 4 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 5 days ago
H
Staff Software Engineer, Full Stack
Harvey
Toronto, ON
- Full-time
Build and evolve Harvey’s internal product platform, accelerating development across multiple product lines and engineering teams
Added 5 days ago
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Engineering Manager, Enterprise
Harvey
Toronto, ON
- Full-time
As a Engineering Manager, Product at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the…
Added 5 days ago
UO
Scientific Assistant
University of Victoria
Victoria, BC
- Full-time
…teaching and research laboratories supporting the Mechanical Engineering and Biomedical Engineering programs, as well as the Department's research-based and professional graduate programs,…
Added 5 days ago
I
Systems architect
iSteer
Toronto, ON
- Full-time
Develop software solutions by studying systems flow, data usage and work processes
Added 5 days ago
M
AVP, AI
Manulife
Toronto, ON
- Full-time
8+ years in data science, AI/ML engineering, or applied machine learning, including significant experience leading delivery of complex AI programs at scale.
Added 5 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 5 days ago
I
Systems architect
iSteer
Toronto, ON
- Full-time
Develop software solutions by studying systems flow, data usage and work processes
Added 5 days ago
KL
IT Analyst – Developer
Kativik llisarniliriniq
Montreal, QC
- Full-time
Validate APIs, web services, system integrations, and data exchanges between applications
Added 5 days ago
NB
Chief Data Engineering Developer
National Bank of Canada
Montreal, QC
- Full-time
A career as a Chief Data Engineering Developer on the Analytics and Data team at National Bank means acting as a data engineering expert. In this role, you will have a direct impact on how…
Added 5 days ago
TA
Lead AI Architect & Delivery Manager
Tiger Analytics
Canada
- Full-time
…the Snowflake-native RAG solution, orchestrating the offshore engineering team, interfacing directly with FCB leadership (ED&A, TPRO, InfoSec SMEs), and ensuring the solution meets its…
Added 5 days ago
PH
Analytics Engineer, Risk
Propel Holdings
Toronto, ON
- Full-time
You are a builder at heart - someone who prefers creating reliable data pipelines over another dashboard. You thrive on owning the “plumbing” that delivers clean, timely data to machine…
Added 5 days ago
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Senior Software Engineer, Behavior Planning
AeroVect
Remote, Canada
- $160,000 to $200,000 CAD / year
- Full-time
- Remote
…our Planning Tech Lead and works closely with the autonomy engineering…

Propel Holdings

Analytics Engineer, Risk

Toronto, ON, M5E 1K3, Canada

$70,000 - $100,000 · Full-time

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Job details

Pay: $70,000 - $100,000
Job type: Full-time
Posting language: English
Posted: Oct 23, 2026

Original job description

About Us:

Propel (TSX: PRL) is the fintech company building a new world of financial opportunity by facilitating access to credit for consumers underserved by traditional financial institutions. Through its AI-driven platform, Propel evaluates customers in a more comprehensive way than traditional credit scores can. Our revolutionary fintech platform has already helped consumers access over one million loans and lines of credit and over one billion dollars in credit.

To build a new world of opportunity we bring together the brightest talent to help us build opportunities. We are entrepreneurs and believe in measuring success through results and growing within; talent and hard work never goes unnoticed. At Propel, we are here to change the way employees, customers and shareholders succeed together.

We are a team of passionate entrepreneurs, who foster curiosity and growth in our employees. Our culture is why we have been so successful and why our employees choose Propel to build their careers. It is also why we are one of North America’s fastest growing companies and a Best Place to Work.

Join us as we change the way employees, customers and shareholders succeed together.

About You:

You thrive in a vibrant, entrepreneurial organization where your ideas are valued. You are motivated by goals, a self-starter, and enjoy wearing multiple hats in a fast-growing fintech environment.

You are a builder at heart - someone who prefers creating reliable data pipelines over another dashboard. You thrive on owning the “plumbing” that delivers clean, timely data to machine learning models and enjoy turning manual, messy processes into repeatable automation. As the Analytics Engineer, Risk, you’ll join the Model Development team within Risk, working closely with the Manager, Model Development, Data Scientists, and Model Developers. This highly technical, hands-on role focuses on the data infrastructure supporting credit risk models, including ETL pipelines for model training and scoring, standardized ingestion of new data sources - including UK data - and day-to-day delivery of stable production data. You’ll work primarily in Python and SQL with tabular, time-series, and, as we grow, graph-structured data such as Neo4j.

Responsibilities

Own the integration of new data sources, into Propel’s model-ready data standards, ensuring consistent schemas, definitions, and quality across regions (CA/US/UK)
Design, build, and maintain ETL pipelines that prepare and deliver data for model training, retraining, and scoring across multiple model types, including survival, classification, and regression models
Build and maintain pipelines within the shared ETL/orchestration framework for model development, following the templates and patterns established by the Model Development team so new models can be onboarded quickly
Build feature engineering and data transformation logic for tabular and time-series data, using tools such as tsfresh or similar
Monitor the health and stability of data pipelines feeding models in production; proactively identify and resolve data drift, quality issues, and pipeline failures
Write clean, well-tested, production-grade Python code, including scripts and reusable packages or modules, that other team members can build on
Work with containerized model deployments using Docker and Kubernetes, as well as cloud infrastructure such as AWS and S3 for data storage and workflow orchestration, with support from our Infrastructure team
Query and transform data from relational databases and data warehouses using SQL.
Document data sources, pipeline logic, and transformations clearly so pipelines are auditable, maintainable, and easy to hand off
Collaborate closely with Data Scientists and Model Developers to translate model requirements into scalable, production-ready data pipelines, and with the Business Analytics Engineering and Infrastructure teams where pipelines intersect with broader data platform work

Requirements

Must Have

Bachelor’s degree in computer science, data engineering, statistics, mathematics, or a related quantitative field
Minimum of 3 years of hands-on Python skills and comfortable writing production-quality, testable, reusable code
Familiarity with common data and ML libraries such as pandas, NumPy, and scikit-learn
Experience building or maintaining ETL or data pipelines
Experience with pipeline or workflow orchestration tools such as Metaflow, Airflow, Prefect, Dagster, or similar is a plus
Comfortable working with different data shapes: tabular and time-series data
Solid SQL skills for querying and transforming data into relational databases such as MySQL and/or data warehouses
Understanding of the ML data lifecycle, including feature engineering, training and scoring data preparation, and model monitoring and drift concepts
Experience with version control using Git and basic CI/CD practices
Strong communication and collaboration skills, with the ability to work closely with Data Scientists, Model Developers, and Infrastructure/Engineering stakeholders
Experience in fintech, credit risk, or another regulated or data-intensive industry is a plus
Experience using generative AI tools such as ChatGPT, Claude, or Copilot to accelerate day-to-day engineering work is an asset

Nice to Have

Exposure to graph data or graph databases such as Neo4j (nice-to-have)
Snowflake experience (nice-to-have)
Exposure to Docker, containerization, and cloud infrastructure such as AWS, S3, EKS, or similar services (nice-to-have)

Benefits to Joining Propel

Growth and opportunity – we pride ourselves on promoting from within
Incredible company culture
Competitive salary and health benefits
Comprehensive vacation package
Group health and dental benefits
Group RRSP program
Support for new parents
Diverse and inclusive workplace

Salary Range

$70,000 - $100,000

Final compensation is determined by market conditions, location, and the candidate’s experience, skills, and education. This role may also be eligible for performance-based incentive programs and total compensation may include variable incentives, such as bonuses and commissions.

This posting is for an existing vacancy within our organization.

Our Culture

Propel brings together the brightest talent to build opportunities. We are entrepreneurs who measure success through results and growth from within; talent and hard work never go unnoticed. Our team fosters curiosity and growth, making Propel one of North America’s fastest-growing companies and a Best Place to Work.

Commitment to Diversity & Inclusion

Propel welcomes and encourages applications from all groups, including Indigenous peoples, women, visible minorities, persons with disabilities, people from gender and sexually diverse communities, and those with intersectional identities. Should you require accommodation throughout any stage of the recruitment and selection process, please specify your requirements when submitting your application and we will work with you to meet your needs.

AI Disclosure

We use AI to assist in reviewing applications and assessing candidates. These tools support our recruitment team, however, all hiring decisions are made by our trained hiring managers and recruitment professionals, not AI.

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More about this job

Responsibilities

The Analytics Engineer will design, build, and maintain ETL pipelines to support credit risk models and ensure data quality across regions. They will collaborate with data scientists to translate model requirements into scalable, production-ready data infrastructure.

Requirements

Candidates must have a bachelor's degree in a quantitative field and at least 3 years of experience with Python and SQL. Proficiency in building data pipelines and familiarity with machine learning libraries are essential for this role.

Skills

Python
SQL
ETL pipelines
Data engineering
Machine learning
Data modeling
Feature engineering
Pandas
NumPy
Scikit-learn
Docker
Kubernetes
AWS
Git
Data drift monitoring
Time-series analysis

Benefits

Competitive salary
Health benefits
Group health and dental benefits
Group RRSP program
Support for new parents

Visa sponsorship

Not detected in the job text

Keywords

Fintech
Credit risk
Data infrastructure
Python
SQL
ETL
Machine learning
Data pipelines
Pandas
NumPy
Scikit-learn
Docker
Kubernetes
AWS
S3
Git
Neo4j
Data transformation
Feature engineering
Time-series data
Tabular data
Data drift
CI/CD
Model development
Data warehousing
MySQL
Orchestration
Airflow
Metaflow
Generative AI

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