1 day ago

Senior Risk & Compliance Engineer - Data

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Build an automated, engineering-grade risk program for security governance, translating real-time security findings into prioritized risk intelligence. Develop probabilistic risk models that quantify breach likelihood and expected losses, then connect model outputs to remediation decisions, dashboards, and executive/board reporting. You’ll engineer signal ingestion pipelines, risk exposure metrics, and data-driven insights that improve efficiency and protect customers and products at scale.

Location: Ontario, Alberta, British Columbia, Nova Scotia

Workplace: Remote

Employment Type: Full time

Job Function: Legal, Risk & Compliance

Seniority: Mid level

Key Responsibilities

•Build automated signal ingestion pipelines that pull real-time data from security tooling and normalize, enrich, and score findings into ranked risk intelligence.
•Develop probabilistic risk models that express security exposure as probability distributions, including breach likelihood and expected losses.
•Identify systemic choke points across the attack surface and prioritize remediation paths by expected impact.
•Create dashboards and data-driven insights to distribute risk visibility across security, engineering, and executive stakeholders.
•Support risk quantification efforts by expressing security exposure in financial terms for investment decisions and board reporting.

Pay and Benefits

Salary: CAD 153,000 - 187,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years of data engineering experience writing production-level code in Python and SQL (PostgreSQL, Presto, or SparkSQL).
•3+ years building and deploying machine learning or probabilistic models (e.g., Bayesian models) in production.
•Experience building data pipelines ingesting real-time or near-real-time data across formats, including stream and batch at scale.
•Experience with data modeling for classification, normalization, and risk or anomaly detection signal development.
•Experience developing metrics that inform security and business decisions.

Experience:5+ years

Languages:English

Tech Stack:PythonSQLPostgreSQLPrestoSparkSQLMachine learningBayesian models

Company Brief

Instacart

Operates an online grocery marketplace connecting customers with personal shoppers and local retailers for grocery delivery and pickup. Provides technology, logistics, and advertising solutions to supermarkets and consumer packaged goods brands.

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2012

Glassdoor: 3.6

Website LinkedIn

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Instacart

1 day ago

Senior Risk & Compliance Engineer - Data

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Ontario, Alberta, British Columbia, Nova Scotia

Workplace: Remote

Employment Type: Full time

Job Function: Legal, Risk & Compliance

Seniority: Mid level

Key Responsibilities

•Build automated signal ingestion pipelines that pull real-time data from security tooling and normalize, enrich, and score findings into ranked risk intelligence.
•Develop probabilistic risk models that express security exposure as probability distributions, including breach likelihood and expected losses.
•Identify systemic choke points across the attack surface and prioritize remediation paths by expected impact.
•Create dashboards and data-driven insights to distribute risk visibility across security, engineering, and executive stakeholders.
•Support risk quantification efforts by expressing security exposure in financial terms for investment decisions and board reporting.

Pay and Benefits

Salary: CAD 153,000 - 187,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years of data engineering experience writing production-level code in Python and SQL (PostgreSQL, Presto, or SparkSQL).
•3+ years building and deploying machine learning or probabilistic models (e.g., Bayesian models) in production.
•Experience building data pipelines ingesting real-time or near-real-time data across formats, including stream and batch at scale.
•Experience with data modeling for classification, normalization, and risk or anomaly detection signal development.
•Experience developing metrics that inform security and business decisions.

Experience:5+ years

Languages:English

Tech Stack:PythonSQLPostgreSQLPrestoSparkSQLMachine learningBayesian models

Company Brief

Instacart

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2012

Glassdoor: 3.6

Website LinkedIn