Toronto, On Lead python full stack data engineer Jobs – 151 Openings This Week

Senior Product Manager, Risk
Transak —Toronto, ON
- Full-time
- SQL
- Product management
- Scripting
Quick apply
Senior Software Developer (Software Engineering Manager Development Program)
PheedLoop Inc. —Toronto, ON
- $90,000 a year
- Full-time
- Hybrid work
- Databases
- SQL
- AWS
Quick apply
Big Admin
Tata Consultancy Services —Mississauga, ON
- Scripting
- Communication skills
- Python
9d
Lead Risk Manager, Payment Fraud
Worthland —Greater Toronto Area, ON
- $150,000–$180,000 a year
- Full-time
- Bilingual
- SQL
- Python
Quick apply
Principal Software Engineer - Platform, Identity and BI
Calabrio —Toronto, ON
- On call
- Remote
- DevOps
- Java
- SQL
- Designated paid holidays
- Disability insurance
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Senior System Administrator
Zonda Home —Toronto, ON
- $130,000–$155,000 a year
- Full-time
- Remote
- Azure
- Oracle
- Computer Science
- Wellness program
- Designated paid holidays
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Senior Security Engineer
Solink —Toronto, ON
- $120,000–$150,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- AWS
- Dental care
1d
RF Systems Engineer
PheedLoop Inc. —Toronto, ON
- Full-time
- Doctoral degree
- Engineering
- Master's degree
Quick apply
Senior Manager, Software Development
Autodesk —Toronto, ON
- Full-time
- Computer Science
- DevOps
- System design
Cloud Platform DevOps Engineer - Assistant Vice President
Citi —Mississauga, ON
- $94,300–$141,500 a year
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
Senior Agentic AI Architect
Bell —Mississauga, ON
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Engineering
- Dental care
1d
Principal AI Security Researcher (Global Security)
Royal Bank of Canada —Toronto, ON
- Full-time
- DevOps
- Research
- Java
Senior Site Reliability Engineer
iManage —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Engineering
- Java
- Dental care
- Paid time off
Quick apply

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Senior Product Manager, Risk

Transak -
Toronto, ON

Quick apply

Job details

Full-time

Qualifications

SQL
Ruby on Rails
Product management
Scripting
UX
APIs
Python

Full job description

About the company

Our mission is that “Any financial application can onboard any user, anywhere in the world, in 1 click.”

Transak provides onboarding to financial applications through authentication, KYC, risk checks, and fiat on/off ramps. This is a next generation of infrastructure for the next generation of financial applications that are built on blockchain and stablecoin rails. Our API and widget-based solutions are used by top partners like MetaMask, Coinbase, Ledger, and Trust Wallet to enable seamless onboarding of over 10 million users across over 450 active applications.

We have raised over $37M from top-tier investors including Consensys, Tether, and Animoca Brands.

Role Overview

We see Risk & Fraud as one of the central problems that Transak needs to solve to enable safe and scalable access to crypto globally.

As Senior Product Manager - Risk & Fraud, you will lead the development and evolution of our in-house proprietary risk engine. This system leverages a network of third-party data providers for enrichment, while maintaining full internal ownership over the data pipelines, risk logic, and real-time decision-making architecture.

You will work closely with engineering, data science, operations, and compliance to define and execute the roadmap for fraud detection and risk mitigation at scale.

This is a specialized product role focused on owning the risk and fraud prevention stack for payment processing at Transak.

Key Responsibilities

Product Ownership & Strategy

Own and evolve the product roadmap for Transak's risk engine and fraud detection systems.
Translate evolving fraud typologies into product requirements and technical capabilities.
Collaborate with stakeholders across Compliance, Engineering, Data, and Operations to align on risk product vision and execution.
Own metrics around fraud and chargebacks, false positives, and conversion rates.

Technical & Analytical Leadership

Work directly with data. Write and optimize DB queries, analyze incident trends, and monitor live risk signals.
Define, track, and report key performance metrics including precision, recall, FPR/TPR, AUC, and latency benchmarks for detection models.
Partner with risk engineers and analysts to design statistically sound experiments, calibrate thresholds, and evaluate detection effectiveness.

Risk Stack Management

Architect the full lifecycle of risk logic: rule management, model integration, case enrichment, and outcomes logging.
Lead vendor selection and negotiations for third-party risk intelligence tools, behavioral analytics, and identity verification partners.

Tooling & Enablement

Collaborate with Risk Operations to develop case management and alerting systems that maximize analyst efficiency.
Prioritize internal tooling improvements that enable fast triage, investigation, and override workflows.
Ensure all risk-related features are scalable, testable, and maintainable under real-world loads.

Requirements

Must-Haves

6-8+ years of Product Management experience, with at least 2 years in risk or fraud-related domains within fintech or crypto.
Deep understanding of fraud vectors in crypto on/off ramps, payment processing, or financial infrastructure.
Strong SQL skills; experience exploring raw datasets, building metrics dashboards, and validating system behavior independently.
Solid foundation in statistics and ML evaluation metrics relevant to fraud detection.
Proven track record of working with data scientists, risk engineers, and fraud ops teams to ship high-impact products.
Experience working with or building rule engines, decision platforms, and/or real-time scoring systems.
Prior exposure to compliance-oriented product design, including KYC/AML, transaction monitoring, and alerts review.

Nice-to-Haves

Familiarity with tools such as Alloy, Sardine, Elliptic, Sift, or similar vendors.
Background in scripting (Python etc.) for deeper data exploration or prototyping.
Experience in user-facing risk UX like transaction friction, user appeals, or dynamic KYC workflows.
Understanding of global regulatory environments impacting crypto or fintech fraud handling.

What Success Looks Like

Significant improvements in fraud prevention accuracy with minimal user friction.
Streamlined analyst tooling that reduces time-to-decision and operational overhead.
Successful launches of new risk capabilities and integrations with minimal false positives.
Clearly defined risk KPIs that tie directly into business health and compliance posture.

Quick apply

Refine Your Search

lead python full stack data engineer jobs in toronto, on

Senior Product Manager, Risk

Senior Software Developer (Software Engineering Manager Development Program)

Big Admin

Lead Risk Manager, Payment Fraud

Principal Software Engineer - Platform, Identity and BI

Senior System Administrator

Senior Security Engineer

RF Systems Engineer

Senior Manager, Software Development

Cloud Platform DevOps Engineer - Assistant Vice President

Senior Agentic AI Architect

Principal AI Security Researcher (Global Security)

Senior Site Reliability Engineer