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Remote Credit Risk Modeling Jobs in Missouri (NOW HIRING)

micro1 AI

Legal AI Trainer - Remote

Saint Louis, MO · Remote

$80 - $105/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... models. Your work will directly improve how these systems identify risk and interpret contract ...

micro1 AI

Legal AI Trainer - Remote

Kansas City, MO · Remote

$80 - $105/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... models. Your work will directly improve how these systems identify risk and interpret contract ...

micro1 AI

Private Funds Attorney - Remote

Saint Louis, MO · Remote

$80 - $105/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... models. Your work will directly improve how these systems identify risk and interpret contract ...

micro1 AI

Private Funds Attorney - Remote

Kansas City, MO · Remote

$80 - $105/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... models. Your work will directly improve how these systems identify risk and interpret contract ...

Huntington

CIC Director of Asset Management

Clayton, MO · On-site +1

... risk management processes. The Director will report to the Director of Tax Credit Lending and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

CIC Director of Asset Management

Clayton, MO · On-site +1

Understanding of bank's credit profile, credit policies, and risk management objectives. * Advanced ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

CIC Director of Asset Management

Clayton, MO · On-site +1

$190K - $250K/yr

Understanding of bank's credit profile, credit policies, and risk management objectives. * Advanced ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

micro1 AI

Revenue Operations Manager - Remote

Columbia, MO · Remote

$130K - $180K/yr

... credit holds, and contract discrepancies in a timely manner * Prepare and deliver weekly and ... Develop, document, and enforce internal controls and A/R policies to mitigate risk and ensure ...

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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.
What are popular job titles related to Remote Credit Risk Modeling jobs in Missouri? For Remote Credit Risk Modeling jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Credit Risk Modeling jobs in Missouri look for? The top searched job categories for Remote Credit Risk Modeling jobs in Missouri are:
What cities in Missouri are hiring for Remote Credit Risk Modeling jobs? Cities in Missouri with the most Remote Credit Risk Modeling job openings:
Remote Credit Risk Modeling jobs near you
AI Safety Engineer (Red Teaming) - Remote

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Kansas City, MO • Remote

$50 - $90/hr

Part-time

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

Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. 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.


Scope of Work

  1. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.

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