ZipRecruiter

Log In

2

Remote Credit Risk Modeling Jobs in Utah (NOW HIRING)

Zanskar

Senior Machine Learning Scientist

Salt Lake City, UT · On-site +1

$88K - $121K/yr

Salt Lake City, UT, Hybrid (3 days in office, 2 days can be remote) Benefits Eligible: Yes Manager ... Decision-minded: you care about end-to-end outcomes (value, risk, time-to-decision), not just model ...

Zanskar

Senior Machine Learning Scientist

Salt Lake City, UT · On-site +1

$88K - $121K/yr

Salt Lake City, UT, Hybrid (3 days in office, 2 days can be remote) Benefits Eligible: Yes Manager ... Decision-minded: you care about end-to-end outcomes (value, risk, time-to-decision), not just model ...

Gong.io

Senior Sourcing Manager, IT

Salt Lake City, UT · On-site +1

$130K - $195K/yr

... risk QUALIFICATIONS * 7+ years of strategic sourcing or procurement experience in enterprise ... and licensing models, including subscription, consumption, credits, tiers, and enterprise ...

NetDocuments

Staff Data Architect

Lehi, UT · On-site +1

$59.75 - $77/hr

... with Security on threat modeling and risk mitigation. * Make data AI-ready. Shape the data ... We are a hybrid, remote-friendly company, repeatedly recognized as a top workplace, including ...

Avetta, LLC

Billing Specialist

Lehi, UT · Remote

$23.50 - $24.50/hr

Those outside of commutable distance may be considered on a remote basis. SUMMARY Avetta is ... Process, review and issue a high volume of invoices and credit adjustments ensuring accuracy ...

next page

Showing results 1-20

All JobsRemote Credit Risk Modeling JobsRemote Credit Risk Modeling Jobs in Utah

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 are the most commonly searched types of Credit Risk Modeling jobs in Utah? The most popular types of Credit Risk Modeling jobs in Utah are:
What are popular job titles related to Remote Credit Risk Modeling jobs in Utah? For Remote Credit Risk Modeling jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Credit Risk Modeling jobs in Utah look for? The top searched job categories for Remote Credit Risk Modeling jobs in Utah are:
What cities in Utah are hiring for Remote Credit Risk Modeling jobs? Cities in Utah with the most Remote Credit Risk Modeling job openings:
Remote Credit Risk Modeling jobs near you
Financial Advisor (CFA or CFP) - AI Trainer

Financial Advisor (CFA or CFP) - AI Trainer

micro1 AI

Provo, UT • Remote

$80 - $110/hr

Part-time

Posted 7 days ago

Job description

Job Title: Financial Advisor (CFA or CFP)


Job Type: Contractor - US ONLY


Location: Remote


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Evaluate and review realistic advisory scenarios involving budgets, emergency funds, debt management, retirement planning, and investment decisions tailored to mainstream households.
  2. Assess AI-generated recommendations for suitability, clarity, compliance, and actionable practicality for W-2 earners and middle-income families.
  3. Document how actual advisor-client conversations unfold, including prioritizing goals, discussing tradeoffs, and walking clients through decision points.
  4. Detail decision rules, rules of thumb, and benchmarks commonly used in practice (e.g., cash reserve targets, debt payoff sequencing, retirement savings rates).
  5. Deliver clear, plain-language written feedback to enhance AI explanations, next steps, and client communication.
  6. Identify and flag compliance or risk issues, emphasizing a fiduciary, client-first approach and appropriate referral scenarios (CPA, attorney, insurance).
  7. Contribute to the development of workflows and processes that reflect best practices in everyday personal finance advising.


Required Skills and Qualifications:

  1. 3+ years of hands-on, client-facing experience providing holistic financial planning to mainstream households in roles such as Financial Advisor, Wealth Advisor, or Personal Financial Consultant.
  2. Expertise in budgeting, cash flow analysis, debt management, retirement savings strategies, college planning, and basic risk management (insurance needs analysis).
  3. CFP® certification strongly preferred (or CFP exam passed with substantial relevant experience); CFA, ChFC, or similar planning credentials considered with strong mainstream client work.
  4. Exceptional written and verbal communication skills, with a talent for breaking down complex topics for non-experts.
  5. Demonstrated commitment to fiduciary standards, compliance, and high-integrity client service.
  6. Experience mentoring others, developing workflows, or standardizing planning processes.
  7. Comfort working asynchronously and independently in a remote setting.


Preferred Qualifications:

  1. Prior experience in roles blending financial planning and ongoing coaching, such as workplace financial consultant or advisor at national firms.
  2. Background designing or improving standardized planning processes or digital advisory journeys.
  3. Familiarity with personal finance apps, digital advice platforms, or AI-driven tools and a strong interest in innovation within the advisory space.

Apply