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Remote Probabilistic Risk Assessment Jobs in Oregon

BECU

Enterprise Risk Analyst - AI Risk

OR · On-site +1

$68K - $127K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. WHAT YOU'LL DO: * AI Risk Assessments: Partner with stakeholders across the ...

Oregon Metro

Risk Manager

Portland, OR · On-site +1

$122K - $156K/yr

Metro Regional Center, OR Job Type: Full Time Remote Employment: Flexible/Hybrid Job Number: 2026 ... Lead risk assessments, incident trend analysis, and loss prevention initiatives. Attributes for ...

Bobtail

Director of Risk

OR · On-site +1

Comfortable managing offshore and distributed teams in a fast-paced, remote environment ... Assess and monitor client and debtor credit risk, exposure, concentrations, and emerging portfolio ...

OdysseyRe

Risk Engineer

OR · On-site +1

The successful candidate will listen effectively and make sound assessments/conclusions based on ... remote work environment. * Work collaboratively as part of a team, proactively across Hudson ...

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Remote Probabilistic Risk Assessment information

What is the difference between Remote Probabilistic Risk Assessment vs Remote Safety Analyst?

AspectRemote Probabilistic Risk AssessmentRemote Safety Analyst
CredentialsEngineering degrees, certifications in risk analysis or reliabilityEngineering or safety certifications, OSHA training
Work EnvironmentPrimarily office-based, data analysis, modelingOffice or field, safety inspections, data review
Industry UsageEnergy, nuclear, chemical industriesManufacturing, construction, industrial sectors
Job FocusQuantitative risk modeling, probabilistic analysisSafety compliance, hazard identification

Remote Probabilistic Risk Assessment specialists focus on quantitative risk modeling using probabilistic methods, often in energy or nuclear sectors. Remote Safety Analysts concentrate on safety compliance and hazard assessments across various industries. While both roles require safety and engineering knowledge, their core tasks and industry applications differ significantly.

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For Remote Probabilistic Risk Assessment jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Probabilistic Risk Assessment jobs in Oregon look for?

The top searched job categories for Remote Probabilistic Risk Assessment jobs in Oregon are:

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Cities in Oregon with the most Remote Probabilistic Risk Assessment job openings:

Remote Probabilistic Risk Assessment jobs near you

Senior Risk & Compliance Engineer - Data

OR • On-site, Remote

Instacart
Technology, Communication and Media • 10K+ employees
Learn more about Instacartexternal

$105K - $143K/yr

Full-time

Re-posted 12 days ago

Instacart rating

6.9

Company rating: 6.9 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

Job description

Overview

Instacart's Governance, Risk and Compliance (GRC) team sits at the intersection of security, data, and business impact - and we're building an automated, engineering-grade risk program that produces real-time risk scoring, quantified exposure models, and ROI-linked investment decisions that reach the CISO, executive leadership, and the board.

We're looking for a Senior Risk & Compliance Engineer to help us get there. This is an engineering role with a data science expertise needed. You'll write production-level code, build signal ingestion pipelines, and develop probabilistic risk models that give our security organization a quantified, confidence-backed view of our risk posture - all in service of protecting Instacart's customers and products at scale.

If you're energized by the challenge of transforming a manual, reactive discipline into a data-driven, automated program - providing value  across security, engineering, and executive stakeholders while doing it - this role was built for you.

About the Job
  • Build automated signal ingestion pipelines that pull real-time data from security tooling - normalizing, enriching, and scoring raw findings into actionable, ranked risk intelligence that drives remediation decisions across the organization
  • Develop probabilistic risk models that express security exposure as probability distributions, giving leadership a quantified, confidence-backed view of breach likelihood and expected losses - connecting model outputs directly to investment decisions and board-level reporting
  • Identify systemic choke points across the attack surface - high-leverage remediation paths where a single fix eliminates risk at scale - and prioritize them by expected impact to maximize the efficiency of our security program
  • Build dashboards and data-driven insights that cascade risk visibility across security, engineering, and executive stakeholders, translating complex model outputs into language that resonates at every level of the organization
  • Support risk quantification efforts that express security exposure in financial terms, connecting model outputs to investment decisions and board-level reporting
About You

Minimum Qualifications

  • 5+ years of experience in data engineering, with demonstrated ability to write production-level code in Python and SQL (PostgreSQL, Presto, or SparkSQL) - you write production level code for internal tools and infrastructure
  • 3+ years of experience building and deploying machine learning or probabilistic models (e.g., Bayesian models) in a production environment
  • Experience building data pipelines that ingest real-time or near-real-time data across multiple formats, handling both stream and batch processing 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

Preferred Qualifications

  • Familiarity with security risk concepts including threat intelligence enrichment pipelines, EPSS, or CISA KEV
  • Familiarity with quantitative risk frameworks such as FAIR
  • Exposure to security frameworks such as NIST CSF, SOC 2 as context for what controls the data is measuring
  • Demonstrated ability to translate risk model outputs into executive or board-level narratives
  • A genuine passion for building systems that protect customers and products, and a track record of operating effectively in fast-paced, ambiguous environments where the program is still being shaped

#LI-Remote

What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012

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