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Remote Credit Risk Modeling Jobs in Washington (NOW HIRING)

System One

Third Party Risk Manager

Vienna, VA · Remote

Contract Work Model: Hybrid - onsite and remote Business unit: Procurement Main focus: support enhancements to the Third-Party Risk methodology and program. Ideal candidate: strong experience in ...

System One

Third Party Risk Manager

Vienna, VA · Remote

Contract Work Model: Hybrid - onsite and remote Business unit: Procurement Main focus: support enhancements to the Third-Party Risk methodology and program. Ideal candidate: strong experience in ...

System One

Third Party Risk Manager

Vienna, VA · Remote

Contract Work Model: Hybrid - onsite and remote Business unit: Procurement Main focus: support enhancements to the Third-Party Risk methodology and program. Ideal candidate: strong experience in ...

System One

Third Party Risk Manager

Vienna, VA · Remote

Contract Work Model: Hybrid - onsite and remote Business unit: Procurement Main focus: support enhancements to the Third-Party Risk methodology and program. Ideal candidate: strong experience in ...

System One

Third Party Risk Manager

Vienna, VA · Remote

Contract Work Model: Hybrid - onsite and remote Business unit: Procurement Main focus: support enhancements to the Third-Party Risk methodology and program. Ideal candidate: strong experience in ...

System One

Third Party Risk Manager

Vienna, VA · Remote

Contract Work Model: Hybrid - onsite and remote Business unit: Procurement Main focus: support enhancements to the Third-Party Risk methodology and program. Ideal candidate: strong experience in ...

System One

Third Party Risk Manager

Vienna, VA · Remote

Contract Work Model: Hybrid - onsite and remote Business unit: Procurement Main focus: support enhancements to the Third-Party Risk methodology and program. Ideal candidate: strong experience in ...

System One

Third Party Risk Manager

Merrifield, VA · Remote

Contract Work Model: Hybrid - onsite and remote * Support the design, testing, implementation, documentation, and continuous enhancement of Third Party Risk Management (TPRM) workflows within ...

New

System One

Third Party Risk Manager

Merrifield, VA · Remote

Contract Work Model: Hybrid - onsite and remote * Support the design, testing, implementation, documentation, and continuous enhancement of Third Party Risk Management (TPRM) workflows within ...

New

Guidehouse

Loan Review Advisor

Mclean, VA · On-site +1

$98K - $163K/yr

S. Small Business Administration (SBA) Office of Credit Risk Management (OCRM) by performing ... Reviewers may support onsite or remote reviews, participate in quality assurance activities, and ...

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All JobsCredit Risk Modeling JobsRemote Credit Risk Modeling JobsRemote Credit Risk Modeling Jobs in Washington

Remote Credit Risk Modeling information

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.

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 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.

What are the most commonly searched types of Credit Risk Modeling jobs in Washington?

The most popular types of Credit Risk Modeling jobs in Washington are:

What are popular job titles related to Remote Credit Risk Modeling jobs in Washington?

For Remote Credit Risk Modeling jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Credit Risk Modeling jobs in Washington look for?

The top searched job categories for Remote Credit Risk Modeling jobs in Washington are:

What cities in Washington are hiring for Remote Credit Risk Modeling jobs?

Cities in Washington with the most Remote Credit Risk Modeling job openings:

Remote Credit Risk Modeling jobs near you

Data Scientist (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA • On-site, Remote

Full-time

Retirement, PTO

Re-posted 10 days ago

Job description

Location: Remote (Occasional Travel May Be Required)
Clearance: Ability to obtain and maintain a Public Trust
Position Overview
Praescient Analytics is seeking multiple Data Scientists to support advanced fraud analytics and investigative initiatives for a federal oversight organization. These positions will develop, test, validate, and deploy innovative analytical solutions that help identify fraud, waste, abuse, and mismanagement across large-scale federal benefit programs and other government-funded initiatives.
Working as part of a multidisciplinary analytics team, Data Scientists will leverage statistical analysis, machine learning, data visualization, entity resolution, and risk modeling techniques to transform large, diverse datasets into actionable intelligence supporting investigators, auditors, and government decision-makers.
The ideal candidate is a technically strong, mission-focused data scientist who enjoys solving complex analytical problems while collaborating with investigators, business analysts, data engineers, forensic accountants, and government stakeholders.
Key Responsibilities
  • Develop, test, validate, and maintain fraud detection and program integrity analytics.
  • Design analytical rules and methodologies to identify fraud indicators, anomalies, suspicious activity, and emerging risks.
  • Perform exploratory data analysis, feature engineering, model development, validation, and performance evaluation.
  • Analyze structured and unstructured data from multiple public, non-public, commercial, financial, and government data sources.
  • Collaborate with Data Engineers to prepare and optimize data for analytics.
  • Support entity resolution, anomaly detection, predictive analytics, and risk scoring initiatives.
  • Produce dashboards, reports, visualizations, and analytical products that support investigative decision-making.
  • Document analytical methodologies, assumptions, validation results, and technical findings.
  • Participate in Agile delivery activities including sprint planning, demonstrations, peer reviews, and iterative model development.

Required Qualifications
  • Must have experience with Fraud Analysis
  • Three (3) or more years of professional experience in data science, applied analytics, machine learning, statistics, fraud analytics, or a related quantitative field.
  • Strong programming experience using Python and SQL.
  • Experience developing and validating analytical models.
  • Experience analyzing structured and unstructured datasets.
  • Experience documenting analytical methodologies and technical findings.
  • Strong analytical reasoning and problem-solving skills.
  • Excellent written and verbal communication skills.

Preferred Qualifications
Preference will be given to candidates with experience in one or more of the following:
  • Fraud detection, fraud prevention, financial crime analytics, or program integrity.
  • Federal benefit programs, grants, loans, healthcare, unemployment insurance, emergency assistance, disaster relief, or other public-sector programs.
  • Risk modeling, anomaly detection, entity resolution, predictive analytics, and statistical modeling.
  • Cloud analytics environments such as Azure Databricks, Microsoft SQL Server, Microsoft Fabric, Azure Data Lake Storage (ADLS), Power BI, Git repositories, or Lakehouse architectures.
  • Working with public, non-public, commercial, financial, or cross-agency datasets.
  • Data visualization and dashboard development.
  • Agile software development and analytics teams.
  • Enterprise data governance, metadata management, and data quality best practices.

What We're Looking For
We're looking for curious, collaborative data scientists who enjoy using data to solve challenging fraud detection problems. The ideal candidate combines strong analytical skills with a passion for supporting government oversight and investigative missions through innovative, data-driven solutions.
What you can expect from us:
  • Real opportunity for career growth in an environment where your achievements will be celebrated
  • Constant collaboration with numerous teams to ensure client success
  • A team that respects and embraces your ideas and expertise
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance
  • Tuition reimbursement program

Praescient Analytics is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Praescient does not unlawfully discriminate or provide disparate treatment based on race, ethnicity, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.
Praescient Analytics acknowledges the applicable clause and provision updates implementing Executive Order 14398, Addressing DEI Discrimination by Federal Contractors, and the related FAR/RFO updates, including FAR 52.222-90 where applicable. Praescient does not engage in racially discriminatory DEI activities, including disparate treatment based on race or ethnicity in recruitment, hiring, promotion, contracting, program participation, training, mentoring, leadership development, or allocation of company resources. Praescient's employment and contracting decisions are made based on merit, qualifications, experience, performance, business needs, and applicable contract requirements.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

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