Senior Data Analytics Engineer â Risk, Fraud and Disputes

MQ Referrals Only; Toronto; Remote; CAD 112,000 - 141,000; Full time

Job summary

A leading technology company is seeking a Senior Data Analytics Engineer in Toronto to design and develop data assets for real-time fraud detection and reporting. You will work cross-functionally with various teams to create actionable insights and scalable solutions. The salary range for this full-time position is CAD 112,700 - 140,900, alongside comprehensive benefits.

Benefits

Multiple health insurance options

Flexible vacation time

Retirement savings program

Equity in a publicly-traded company

Monthly stipend for remote work

Annual development dollars

Qualifications

• 5 years of experience in data analytics, data science, or data engineering.
• Experience in fraud, risk, dispute, payments, or financial services.
• Strong data intuition and ability to work with ambiguous data.

Responsibilities

• Design and develop scalable data assets for fraud detection.
• Analyze transactional fraud data to uncover trends.
• Create and maintain real-time dashboards and reporting.

Skills

Data analytics and data science

Advanced SQL

Data visualization tools

Collaboration skills

Tools

Airflow

dbt

Looker

Tableau

Job description

Overview

We are looking for a highly analytical and technically proficient Senior Data Analytics Engineer to join our Risk Fraud and Disputes Engineering team. In this cross-functional and strategic role youll own the design and development of scalable reliable data assets that drive real-time fraud detection, dispute operations, and regulatory reporting. Youll be instrumental in bridging data engineering with analytical needs enabling high-quality decisions through structured labeled data and actionable insights using ML models.

We work Flexible First. This role can be performed remotely anywhere within British Columbia and Ontario Canada. Wed love for you to join us!

The Impact Youll Have

• Partner with risk / fraud / dispute engineers, data scientists, and product managers to understand business needs and translate them into data-driven solutions.
• Lead the creation of labeled datasets to support supervised machine learning and rules-based fraud detection and chargeback prediction.
• Partner with ML engineers and backend teams to productionize data.
• Analyze large transactional fraud and chargeback data to uncover trends, detect anomalies and support deep-dive investigations (e.g. Chargeback win / loss rates, Fraud rates, anomalous Merchant behavior, etc.).
• Create and maintain real-time dashboards and reporting for key KPIs across Fraud, Risk and Disputes for leadership, operations, and product teams.
• Recommend data improvements to enhance fraud and chargeback detection capabilities and reduce false positives / negatives.
• Act as a domain expert in fraud and dispute data supporting internal investigations and external customer data queries.
• Partner with Finance or Operations to answer questions about dispute costs, win / loss rates and more.
• Collaborate with Engineering to develop and maintain Airflow pipelines and ETL workflows to support scalable data pipelines.

Who You Are

• 5 years of experience in data analytics, data science, or data engineering, preferably in fraud, risk, dispute, payments, or financial services.
• Advanced SQL skills with a strong understanding of analytical functions, performance tuning, and ETL best practices.
• Deep understanding of risk, fraud signals, disputes domain, or related data patterns.
• Strong data intuition: able to translate vague problem statements into structured data analysis or model features.
• Experience with data visualization tools (Looker, Tableau, etc).
• Ability to translate business needs into technical solutions and data structures.
• Comfort working with ambiguous data problems in a fast-paced, high-stakes environment.
• Strong communication and collaboration skills, ability to work cross-functionally with Product, Engineering, and Ops.
• Familiarity with Airflow, dbt or equivalent ETL / ELT tooling.

Nice-To-Haves

• Experience labeling data for ML models or partnering with ML engineers on feature creation.
• Understanding of card network chargeback rules, fraud reason codes, or dispute lifecycle.
• Python or R for advanced analytics or light ML tasks.

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment whether that be from home or at a company office. To support Flex First we calibrate pay to a competitive value according to working location.

When determining salaries we consider several factors including but not limited to skills, prior experience and work location. The new-hire base salary range for this position reflected in CAD is: 112700 - 140900.

We also believe in recognizing the contributions of our people. Thats why we award annual bonuses to eligible employees rewarding both individual performance and the success of the entire company.

Along with monetary compensation Marqeta offers

• Multiple health insurance options
• Flexible vacation time
• Retirement savings program with company contribution
• Equity in a publicly-traded company
• Monthly stipend to support our remote work model
• Annual development dollars to support our people growth and development

Experience

Required Experience: Senior IC

Key Skills

Electrical, Academics, Customer Service, Computer Data Entry, Cardiac Surgery, Freight Forwarding

Employment Type

Full Time

Experience

years

Vacancy

1