Back to jobs
New

Senior Data Analytics Engineer – Risk, Fraud and Disputes

Toronto, Canada; Vancouver, Canada

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, you’ll own the design and development of scalable, reliable data assets that drive real-time fraud detection, dispute operations, and regulatory reporting. You'll 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. We’d love for you to join us!

The Impact You'll 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: 112,700 - 140,900.

We also believe in recognizing the contributions of our people. That's 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

Apply for this job

*

indicates a required field

Resume/CV*

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf

Select...
Select...

MQ - EEOC Voluntary Questions

At Marqeta, we strive to live our value of “Win as a Team,” where we seek various opinions and experiences as we build opportunities around equity, inclusion, and belonging. We ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. As set forth in Marqeta’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Any information that you do provide will be anonymized and reviewed, strictly in aggregate, to find ways to improve our recruiting processes. To learn more about our job applicant privacy policy, please visit our website.

We’re also providing additional information and resources as you complete the form:

  • Race & Ethnicity Definitions
  • Veteran Status: If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. 
    • A "disabled veteran"
    • A "recently separated veteran" 
    • An "active duty wartime or campaign badge veteran" 
    • An "Armed forces service medal veteran"
  • Disability Status: You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.

Select...
Select...
Select...
Select...
Select...
Select...
Select...