Senior Risk & Compliance Engineer in Winnipeg

Senior Risk & Compliance Engineer in Winnipeg

Winnipeg Full-Time 135000 - 165000 $ / year (est.) On-site
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At a Glance

  • Tasks: Build automated risk programs and develop production-level code for data and ML pipelines.
  • Company: Join Instacart, a leader in tech innovation and risk management.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic role with potential for career advancement in a fast-paced environment.
  • Why this job: Make a real impact by quantifying risk and driving informed decisions at a top company.
  • Qualifications: Experience in risk compliance, coding, and collaboration with cross-functional teams.

The predicted salary is between 135000 - 165000 $ per year.

Instacart is seeking a Senior Risk & Compliance Engineer to help build an automated, engineering‑grade risk program across security and risk functions.

You’ll develop production‑level code, ingestion pipelines, and probabilistic models to quantify risk for leadership and the board.

The role requires building real‑time risk signals, dashboards, and risk monetization, partnering with security, engineering, and executive teams to drive informed investment decisions.

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Senior Risk & Compliance Engineer in Winnipeg employer: EngineersOfAI

At Stripe, we pride ourselves on being an exceptional employer that fosters innovation and collaboration within our ML Infra team. Our vibrant work culture encourages continuous learning and growth, offering employees the chance to tackle meaningful challenges in machine learning infrastructure while enjoying competitive benefits and a supportive environment. Located in a dynamic tech hub, we provide unique opportunities for professional development and the chance to make a significant impact in the world of payment solutions.

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Contact Details:

EngineersOfAI Recruitment Team

We think you need these skills to ace Senior Risk & Compliance Engineer in Winnipeg

Risk Management
Compliance Engineering
Data Engineering
Machine Learning
Production-Level Code Development
Ingestion Pipelines
Probabilistic Modelling