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 the Governance, Risk and Compliance (GRC) team. Write production Python/SQL code to ingest real-time security signals, normalize and enrich findings, and generate probabilistic risk models that quantify breach likelihood and expected losses. Deliver dashboards and risk insights for security, engineering, and executive stakeholders, and translate outputs into board-level reporting and investment decisions.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Legal, Risk & Compliance

Seniority: Mid level

Key Responsibilities

•Build automated signal ingestion pipelines pulling real-time data from security tooling and transforming it into actionable risk intelligence.
•Develop probabilistic risk models expressing security exposure as probability distributions tied to 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 that spread risk visibility across security, engineering, and executive stakeholders.
•Support risk quantification that expresses security exposure in financial terms for investment decisions and board-level reporting.

Pay and Benefits

Salary: USD 156,000 - 230,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years of data engineering with production-level Python and SQL; experience with PostgreSQL, Presto, or SparkSQL.
•3+ years building and deploying machine learning or probabilistic (e.g., Bayesian) models in production.
•Build data pipelines for real-time or near-real-time ingestion at scale using stream and batch processing.
•Data modeling experience for classification, normalization, and risk or anomaly detection signal development.
•Develop metrics that inform security and business decisions.

Skills:Translating complex risk model outputs into executive/board narrativesWorking in fast-paced, ambiguous environmentsPassion for building systems that protect customers and products

Languages:English

Tech Stack:PythonSQLPostgreSQLPrestoSparkSQLMachine learningProbabilistic modelsBayesian modelsReal-time dataStream processingBatch processingDashboardsRisk scoringRisk modelsData pipelines

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: United States

Workplace: Remote

Employment Type: Full time

Job Function: Legal, Risk & Compliance

Seniority: Mid level

Key Responsibilities

•Build automated signal ingestion pipelines pulling real-time data from security tooling and transforming it into actionable risk intelligence.
•Develop probabilistic risk models expressing security exposure as probability distributions tied to 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 that spread risk visibility across security, engineering, and executive stakeholders.
•Support risk quantification that expresses security exposure in financial terms for investment decisions and board-level reporting.

Pay and Benefits

Salary: USD 156,000 - 230,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years of data engineering with production-level Python and SQL; experience with PostgreSQL, Presto, or SparkSQL.
•3+ years building and deploying machine learning or probabilistic (e.g., Bayesian) models in production.
•Build data pipelines for real-time or near-real-time ingestion at scale using stream and batch processing.
•Data modeling experience for classification, normalization, and risk or anomaly detection signal development.
•Develop metrics that inform security and business decisions.

Skills:Translating complex risk model outputs into executive/board narrativesWorking in fast-paced, ambiguous environmentsPassion for building systems that protect customers and products

Languages:English

Tech Stack:PythonSQLPostgreSQLPrestoSparkSQLMachine learningProbabilistic modelsBayesian modelsReal-time dataStream processingBatch processingDashboardsRisk scoringRisk modelsData pipelines

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