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Jobs in Newmarket, Canada

Data and Model Governance Lead

MQ Referrals Only

Vancouver
Remote
CAD 141,000 - 177,000
15 days ago
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Data & Model Governance Lead - Remote (Canada)

MQ Referrals Only

Vancouver
Remote
CAD 141,000 - 177,000
15 days ago

store manager - retail

Government of Canada - Central

Newmarket
On-site
CAD 60,000 - 80,000
4 days ago
Be an early applicant

Assistant manager - retail

Government of Canada - Central

Newmarket
On-site
CAD 60,000 - 80,000
4 days ago
Be an early applicant

Zara Visual Commercial - Upper Canada Mall

Zara

Newmarket
On-site
CAD 80,000 - 100,000
4 days ago
Be an early applicant
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Doula and lactation specialist

Canada mama consulting

Newmarket
On-site
CAD 80,000 - 100,000
5 days ago
Be an early applicant

Receptionist (2025-9345)

Verve Senior Living

Newmarket
On-site
CAD 35,000 - 45,000
5 days ago
Be an early applicant

Customer Service Representative

BMO Financial Group

Newmarket
On-site
CAD 34,000 - 48,000
6 days ago
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Bilingual Performance Manager (Remote – Canada)

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CAD 90,000 - 120,000
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CAD 45,000 - 60,000
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Lead Cook

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Northeastern Ontario
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CAD 45,000 - 60,000
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CAD 100,000 - 130,000
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CAD 30,000 - 60,000
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CAD 70,000 - 90,000
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Data and Model Governance Lead
MQ Referrals Only
Remote
CAD 141,000 - 177,000
Full time
16 days ago

Job summary

A leading fintech company is looking for a Data and Model Governance Lead to enhance data governance and compliance across third-party programs. The ideal candidate will excel in SQL and Python, possessing a strong background in payments and financial services. This role offers flexibility to work remotely within Canada and a competitive salary range of 141,200–176,500 CAD. Interested applicants should thrive in collaborative environments and have excellent communication skills.

Benefits

Flexible vacation time
Equity in a publicly-traded company
Annual development dollars

Qualifications

  • 5+ years of experience in payments, financial services and/or Fintech.
  • Advanced SQL skills with 8+ years of experience working with large data sets.
  • Intermediate to advanced technical skills in Python or R.

Responsibilities

  • Build and maintain data pipelines to automate data intake and quality control.
  • Design dashboards and analytics to surface compliance risks.
  • Build automation through Python scripting to eliminate repetitive tasks.

Skills

SQL
Data governance
Python
Automation
Data analytics

Education

Bachelor’s degree or equivalent experience

Tools

Looker
Salesforce
Git
Snowflake
Airflow
Job description

We are seeking a highly skilled and curious Data and Model Governance Lead to join Marqeta’s Legal, Risk, and Compliance (LRC) organization. This role is ideal for someone who thrives at the intersection of data science, regulatory operations, and risk analytics. You will partner with Compliance, Risk, Legal, and cross‑functional stakeholders to unlock insights, automate processes, and elevate how we govern and manage third‑party programs, cardholder protections, data models, and regulatory obligations.

Furthermore, you’ll be expected to partner with cross‑functional teams outside of our immediate organization and strategize how to best bring our metrics‑driven performance framework to life, while also supporting the needs of external partners in functions such as Compliance, Revenue, Legal, and Product. The successful candidate should also be able to assist with lightweight process automation through scripts and possess strong SQL skills.

You will be viewed as the department‑specific data lead, which will require a close partnership with our Data & Insights, Product, and Engineering teams. Ultimately, you will help us improve our end‑to‑end processes to yield better program management experiences overall.

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

The Impact You’ll Have
  • Build and maintain data pipelines to automate intake, structuring, and quality control of information received from third‑party programs, including due diligence and ongoing reporting responses, and risk indicators.
  • Build and maintain a Model Risk Management program, including Policy development and operationalizing supporting processes.
  • Partner with compliance stakeholders to design dashboards and analytics that surface risks across a range of regulatory areas, such as consumer disputes (Reg E/Z), disclosures, and program oversight.
  • Design and maintain dashboards, scorecards, and other reporting assets to monitor key LRC metrics (e.g., compliance testing results, issue remediation progress, risk ratings, Enterprise Risk Key Risk Identifiers, Adherence to Risk Appetite Thresholds).
  • Assist with development of Enterprise Risk Appetite and Key Risk Indicator Metrics, along with automation into systemized reporting.
  • Build automation through Python scripting or similar methods to eliminate repetitive, manual processes across the LRC function.
  • Identify data gaps and develop proxy metrics or interim solutions to enable decision‑making while long‑term infrastructure is developed.
  • Partner with engineering and product teams to support integration of compliance data needs into Marqeta’s platform and tools (e.g., Salesforce, Looker, Looker Studio).
  • Serve as a strategic analytics partner to the Compliance leadership team in operational planning, resourcing, and performance tracking.
Who You Are
  • 5+ Years of experience in payments, financial services and/or Fintech.
  • Advanced SQL skills, including 8+ years experience working with large data sets.
  • Intermediate to advanced technical skills (e.g. Python, R, or other automation‑focused languages).
  • Proficiency with dashboard and/or business intelligence tools (e.g. Looker, Looker Studio, Tableau).
  • Experience with Git, Snowflake, Airflow, and Salesforce is a plus.
  • Foundation of integrity and strong character to consistently represent Marqeta’s values.
  • Self‑starter who is a consummate team player and has demonstrated the ability to thrive in the face of ambiguity.
  • Ability to prioritize, manage, and deliver on multiple projects; highly motivated and able to work in an agile environment.
Nice‑To‑Haves
  • Bachelor’s degree or equivalent experience.
  • Exceptional interpersonal, communication, and influencing skills with the ability to work with stakeholders across different functions and levels, both internally and with partners.
  • Startup/high‑growth company experience with a proven track record of thriving in high‑performing teams and fast‑paced environments.
  • Virtual “Onsite” consisting of 4‑5, 45 min calls.
  • Offer!
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: 141,200‑176,500.

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.
  • Family‑forming benefits and up to 20 weeks of Parental Leave.

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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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