ZipRecruiter

Log In

2

Remote Credit Risk Modeling Jobs in Millville, NJ

All JobsCredit Risk Modeling JobsRemote Credit Risk Modeling JobsRemote Credit Risk Modeling Jobs in Millville, NJ

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.
What cities near Millville, NJ are hiring for Remote Credit Risk Modeling jobs? Cities near Millville, NJ with the most Remote Credit Risk Modeling job openings:
Remote Credit Risk Modeling jobs near you

Product / Project Manager, AI Agent Team (Contract)

Braintrust

Alloway, NJ • On-site, Remote

$60 - $64/hr

Full-time

Posted 6 days ago

Job description

Company
Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams. Job description

This is a fully remote role open to candidates in Europe, Latin America, Asia and North America.


Loansure builds the data-driven Loan Acquisition System behind direct mail and lead generation for mortgage lenders. We are standing up an internal AI agent capability: orchestrated AI agents doing real production work, starting with marketing copy production and expanding across the business. A cross-functional agile team of engineers, data scientists, and business SMEs is already in motion, alongside an external delivery partner running a proof of concept. This role owns keeping all of it on track.


This is a hybrid project and delivery role. You will run the agile process for the agent team, may assist with writing PRDs and hold vendor delivery to those specs. You operate with a high degree of autonomy; we expect you to surface risk early, keep executive-level status honest, and never let a proof of concept drift from its acceptance criteria.


Position Responsibilities:

  • Own the agent team delivery plan and roadmap milestones; keep progress, risks, and decisions visible to executive stakeholders
  • Run scrum for a cross-functional team: sprint planning, backlog management, standups, retros
  • Manage delivery partner engagements end to end: milestone tracking, deliverable acceptance, scope and change control
  • Define and enforce the Definition of Done for agent workflows moving from proof of concept to production
  • Coordinate model, tooling, and platform decisions across engineering, data science, and business owners

Qualifications:

  • 5+ years in project, product or technical program management delivering software; comfortable ramping fast as a contractor
  • Hands-on familiarity with LLM and agentic systems: prompting, evaluation frameworks, and orchestration tooling (e.g., n8n, LangGraph, or agent SDKs from Anthropic or OpenAI)
  • Experience managing vendor delivery: SOW scoping, acceptance criteria, milestone-based engagements
  • Strong agile facilitation across mixed technical and non-technical teams
  • Writing executives actually read: concise status, clear asks, no filler

Nice to have

  • Mortgage, fintech, or other regulated-industry experience
  • Marketing operations or direct mail production background
  • Working familiarity with SQL, Snowflake, or AWS


Apply