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Remote Credit Risk Jobs in Stowe, VT (NOW HIRING)

We are looking for a Director of Credit Risk to join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role ...

Remote Credit Risk information

See Stowe, VT salary details

$53.6K

$117.1K

$196.1K

How much do remote credit risk jobs pay per year?

As of Jun 6, 2026, the average yearly pay for remote credit risk in Stowe, VT is $117,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,400.00 and $152,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in remote credit risk roles, and how can they be addressed?

Remote credit risk professionals often face challenges such as limited direct access to clients and colleagues, which can make it harder to gather nuanced information and collaborate efficiently. To address these, it's important to leverage digital communication tools and maintain proactive communication with both internal teams and external stakeholders. Building strong documentation and adopting clear workflows also help ensure consistency in risk evaluation while working remotely. Regular virtual meetings and continuous professional development can further support success and connection in a remote setting.

What is a Remote Credit Risk job?

A Remote Credit Risk job involves analyzing and assessing the financial risk associated with lending or extending credit to individuals or businesses, all while working from a remote location. Professionals in this field evaluate credit applications, monitor existing accounts, and help develop policies to minimize financial losses for their employer. They typically use data analysis, financial modeling, and risk assessment tools to make informed decisions. Remote roles in credit risk allow for flexible work arrangements, but still require strong analytical skills and attention to detail.

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

AspectRemote Credit RiskRemote Credit Analyst
Primary FocusAssessing overall credit risk for portfolios and lending strategiesAnalyzing individual credit applications and financial data
Required CredentialsOften requires risk management certifications, finance degreesTypically requires finance or accounting degrees, certifications like CFA or CPA
Work EnvironmentCollaborates with risk management teams, uses risk modeling toolsWorks with loan officers, reviews financial statements, uses credit scoring software
Industry UsageCommon in banking, financial services, lending institutionsUsed in banks, credit unions, lending agencies

Remote Credit Risk professionals focus on evaluating overall credit portfolios and developing risk mitigation strategies, while Remote Credit Analysts analyze individual credit applications to determine creditworthiness. Both roles require financial expertise and often similar certifications, but their scope and daily tasks differ significantly.

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

To thrive as a Remote Credit Risk Analyst, you need strong analytical abilities, knowledge of financial principles, and typically a degree in finance, economics, or a related field. Familiarity with risk assessment software, statistical tools like SAS or R, and credit reporting systems is essential. Excellent communication, attention to detail, and problem-solving skills help you interpret data and collaborate effectively from a distance. These skills and qualifications are crucial to accurately assess creditworthiness, minimize risk, and support sound financial decisions in a remote environment.
What cities near Stowe, VT are hiring for Remote Credit Risk jobs? Cities near Stowe, VT with the most Remote Credit Risk job openings:
Director of Credit Risk

Director of Credit Risk

DataAnnotation

Montpelier, VT • Remote

$50 - $60/hr

Full-time, Part-time, Contractor

This job post has expired today. Applications are no longer accepted.


Job description

DataAnnotation is committed to creating high-quality AI. We are looking for a Director of Credit Risk to join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you're looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity.
We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. Were seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.
Role
We're growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might:
Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets
Leverage your education and work experience to check the reasoning and accuracy of an AI Assistants work
Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn't.
Share clear, structured feedback to help make each new version of the AI smarter and more reliable.
To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master's or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.
Benefits
This is a full-time or part-time REMOTE position
You'll be able to choose which projects you want to work on
You can work on your own schedule
Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work
Responsibilities
Give AI chatbots diverse and complex problems and evaluate their outputs
Evaluate the quality produced by AI models for correctness and performance
Qualifications
Fluency in English (native or bilingual level)
Detail-oriented
Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
A current, in progress, or completed Masters and/or PhD is is preferred but not required
Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in United States will be considered for this role. This is an independent contract position.
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