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Remote Credit Risk Modeling Jobs in Covington, LA

Deloitte

Epic Denials Management Operator

New Orleans, LA · Remote

$17.25 - $23/hr

... and Credits and Refunds, for health care provider client. This is a primarily remote role ... Our delivery models are tailored to meet each client's unique requirements. Our Industry Solutions ...

AECOM

Electrical Discipline Lead

New Orleans, LA · On-site +1

$153K - $160K/yr

Provides technical expertise for risk assessments, due diligence and other studies presenting ... Complex electrical modeling experience (parallel generators, load balancing) * Field construction ...

Erm

Right of Way (ROW) Agent (Field Based)

New Orleans, LA · On-site +1

$34.19 - $40.20/hr

Ability to work in remote locations for long periods of time; * Excellent interpersonal skills and ... We call this capability our "boots to boardroom" approach for its comprehensive service model that ...

ERM

Right of Way (ROW) Agent (Field Based)

New Orleans, LA · On-site +1

$34.19 - $40.20/hr

Ability to work in remote locations for long periods of time; * Excellent interpersonal skills and ... We call this capability our "boots to boardroom" approach for its comprehensive service model that ...

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All JobsCredit Risk Modeling JobsRemote Credit Risk Modeling JobsRemote Credit Risk Modeling Jobs in Covington, LA

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 Covington, LA? For Remote Credit Risk Modeling jobs in Covington, LA, the most frequently searched job titles are:
What cities near Covington, LA are hiring for Remote Credit Risk Modeling jobs? Cities near Covington, LA with the most Remote Credit Risk Modeling job openings:
Remote Credit Risk Modeling jobs near you

Clinician (Oncology / Hematology)

micro1 AI

New Orleans, LA • Remote

$160 - $200/hr

Part-time

Posted 4 days ago

Job description

Role Title: Clinician (Oncology / Hematology)


Role Type: Contractor


Location: Remote


micro1 is engaging Clinician (Oncology / Hematology)s to contribute to a customer’s project at the forefront of AI in healthcare. 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. Author and review evaluation tasks that require nuanced clinical judgment, leveraging Clinical Study Reports, periodic safety reports, and regulatory correspondence in oncology and haematology.
  2. Assess the clinical defensibility of efficacy and safety conclusions, ensuring endpoints and effect sizes reflect true clinical significance.
  3. Apply advanced judgment to dose escalation, dose-limiting toxicity, modifications, adverse event grading and attribution, and the coherence of patient narratives.
  4. Evaluate benefit-risk reasoning, scrutinizing the durability of conclusions in light of new events, and the realism of described management strategies.
  5. Identify and flag content that is clinically implausible or internally inconsistent, distinguishing these from legitimate clinical variation.
  6. Provide structured, guideline-based written rationales that clearly explain the validity or limitations of clinical interpretations for a non-clinical audience.


Preferred Qualifications

  1. Specialist registration or board certification in medical oncology and/or haematology, with 5+ years of post-training clinical experience.
  2. Direct involvement in clinical trials as investigator, sub-investigator, or sponsor-side medical monitor, safety physician, or clinical development physician.
  3. Proficiency with CTCAE grading, relevant response criteria (RECIST, Lugano, IMWG, IWCLL, ELN), and outcome endpoints (ORR, DoR, PFS, OS, MRD).
  4. Hands-on experience with trial documents such as protocols, investigator brochures, CSRs, safety narratives, or DSMB/IDMC materials.
  5. Demonstrated excellence in written communication, with clear, structured explanations of clinical reasoning tailored for non-clinical readers.
  6. Previous roles in medical monitoring or as medical director on oncology or haematology programmes, and committee participation (IDMC, DSMB, adjudication, or independent review committees).
  7. Peer-reviewed publication record or authorship on clinical trial manuscripts, with any exposure to AI-assisted clinical review tools seen as a plus.

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