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Remote Credit Risk Modeling Jobs in Philadelphia, PA

Indirect Tax Senior Analyst (Remote)

Philadelphia, PA · Remote

$117K - $117K/yr

... risk and social issues. We call this capability our "boots to boardroom" approach for its comprehensive service model that allows ERM to develop strategic and technical solutions that advance ...

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Remote Credit Risk Modeling information

What are the key skills and qualifications needed to thrive as a Remote Credit Risk Modeler, and why are they important?

To thrive as a Remote Credit Risk Modeler, you need a strong background in statistics, data analysis, and financial risk assessment, typically supported by a degree in mathematics, finance, or a related field. Familiarity with statistical modeling tools such as SAS, R, Python, and experience with credit risk platforms or regulatory frameworks like Basel II/III are highly valued. Excellent problem-solving skills, attention to detail, and effective communication are crucial for interpreting complex data and collaborating with remote teams. These skills ensure accurate risk assessments, regulatory compliance, and sound decision-making in credit portfolios.

What is the difference between Remote Credit Risk Modeling vs Remote Credit Analyst?

AspectRemote Credit Risk ModelingRemote Credit Analyst
Required CredentialsDegree in Finance, Economics, or related field; certifications like CFA or FRM beneficialDegree in Finance, Economics, or related field; certifications like CFA or FRM beneficial
Work EnvironmentDeveloping models, analyzing data, using statistical softwareAssessing creditworthiness, reviewing financial documents, communicating with clients
Industry UsageFinancial institutions, credit bureaus, fintech companiesBanks, lending institutions, credit agencies

Remote Credit Risk Modeling focuses on creating statistical models to predict credit risk, requiring strong analytical skills and technical expertise. Remote Credit Analysts evaluate individual credit applications and assess risk based on financial data. While both roles operate remotely within the finance industry, they differ in daily tasks and skill emphasis, with modeling being more technical and analysis more client-focused.

How does a remote Credit Risk Modeling professional typically collaborate with cross-functional teams?

As a remote Credit Risk Modeling professional, collaboration with cross-functional teams—such as data analysts, IT specialists, and business stakeholders—is usually facilitated through virtual meetings, shared project management tools, and version-controlled code repositories. Clear communication and regular updates are essential, as you'll often need to translate complex modeling outcomes into actionable insights for non-technical colleagues. Building strong relationships remotely can be a challenge, but utilizing video calls and collaborative documentation helps ensure alignment on project goals and timelines.

What is remote credit risk modeling?

Remote credit risk modeling involves analyzing and predicting the likelihood that borrowers will default on their loans, all while working from a location outside of a traditional office setting. Professionals in this role use statistical techniques and data analysis tools to assess creditworthiness and help financial institutions minimize risk. They often collaborate with teams virtually, utilizing secure platforms to access data and build predictive models. This remote setup allows for flexibility and efficiency while still upholding high standards of data security and accuracy.
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Division Security Champion

Division Security Champion

Bentley Systems

Exton, PA • Remote

Other

Posted 23 days ago


Job description

Division Security Champion - Asset Analytics

Bentley Systems | Location: Flexible / US-Remote


Role Summary

Bentley Systems is seeking a director level, Division Security Champion to lead application security across the Asset Analytics division, encompassing cloud-native web applications and AI/ML-driven platforms. This senior leadership role drives Secure Software Development Lifecycle (SSDLC) practices, improves product risk posture, and ensures secure delivery across SaaS and AI systems.


Responsibilities

  • Act as the division's Security Champion, leading a distributed network of security champions
  • Define and execute AppSec strategy aligned with Bentley's enterprise program
  • Measure and reduce application risk across the portfolio
  • Lead DevSecOps and SSDLC practices including threat modeling, architecture reviews, and vulnerability management
  • Secure AI/ML systems including model lifecycle, data protection, and MLOps integration
  • Oversee incident response, vulnerability remediation, forensics, post-mortems, and bug bounty processes
  • Manage third-party and open-source security risk
  • Build a security-first engineering culture across teams


What Success Looks Like

  • Consistent SSDLC adoption across all products
  • Reduced risk and faster remediation timelines
  • Effective security champion network
  • Secure delivery of cloud-native and AI-powered applications
  • Becoming the trusted security advisor for the division


Qualifications

Required

  • 10+ years of experience in application or development security roles
  • Security certifications such as CISSP, GIAC, or OSCP
  • Expertise in secure development, threat modeling, and cloud-native security including assessing security impact of PRs and using tools such as Burp Suite Pro to assess vulnerabilities
  • DevSecOps and CI/CD security experience
  • Strong cross-functional leadership and communication skills


Preferred

  • Experience securing AI/ML systems or MLOps pipelines
  • Experience in container hardening or K8s security best practices
  • Experience with multi-tenant SaaS platforms
  • Experience with ISO27001, FedRAMP, SOC2, or similar frameworks

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