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Remote Credit Risk Modeling Jobs in Reston, VA (NOW HIRING)

Sr. Credit Risk Analyst

Washington, DC · On-site +1

$129K - $161K/yr

Develop credit strategies to improve the credit performance by using data, machine learning models ... Whether you are working from our San Francisco or Phoenix offices or joining us as a fully remote ...

Senior Credit Analyst

Washington, DC · On-site +1

$50 - $60/hr

... models. You will measure the progress of these AI chatbots, evaluate their logic, and solve ... BenefitsThis is a full-time or part-time REMOTE positionYou'll be able to choose which projects you ...

Loan Review Managing Consultant

Mclean, VA · On-site +1

$113K - $188K/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 ...

Loan Review Senior Consultant

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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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.

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 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 job categories do people searching Remote Credit Risk Modeling jobs in Reston, VA look for? The top searched job categories for Remote Credit Risk Modeling jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Credit Risk Modeling jobs? Cities near Reston, VA with the most Remote Credit Risk Modeling job openings:

Sr. Credit Risk Analyst

Prosper.com

Washington, DC • On-site, Remote

$129K - $161K/yr

Full-time

Medical, Retirement

Posted 12 days ago


Job description

Credit Risk Senior Analyst

The successful candidate will join Prosper's Credit Risk Management Department. The team leverages advanced analytics tools, cutting edge data and techniques to develop credit strategies that govern automated credit decisions in Prosper's online marketplace. A Credit Risk Senior Analyst at Prosper can apply advanced statistical techniques, algorithms, and industry tools to develop solutions that predict and prevent credit risk associated with Prosper Personal Loans and Credit Cards products. An ideal candidate should have strong hands-on analytical skills and a passion for solving problems in innovative and effective ways. The faster and more agile risk strategies keep our marketplace competitive and ensure that we continue to deliver on our mission of advancing financial well-being.

How you'll make an impact

  • Develop credit strategies to improve the credit performance by using data, machine learning models and advanced analytics tools to optimize risk decisions
  • Lead end-to-end risk and analytics strategy for Prosper's Credit Card, from pre-launch through portfolio optimization, including underwriting policies, pricing and credit line strategies, and acquisition frameworks that balance growth targets with risk parameters
  • Bring innovative/out of the box thinking to make recommendations and to approaching/solving problems
  • Design A/B tests and understand the risk-return trade-offs
  • Partner with Product, Marketing and Engineering teams to implement strategies and monitor the strategy performance
  • Continue to innovate by testing new data, analytics approaches and models
  • Conduct ad-hoc analysis related to risk management, investor services, product, and operations
  • Analyze portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance driver
  • Communicate findings and recommendations to the Risk Management and broader Prosper community

Skills that will help you thrive

  • Bachelor's degree in Business, Statistics, Mathematics, Computer Science, Engineering or Economics and 5+ years relevant experience managing credit/ fraud risk OR a Master's degree in above areas with 3+ years relevant experience
  • Experience in credit risk management and/or fraud and/or data science in consumer lending industry, consumer credit card experience is a plus
  • Background in product launches, new portfolio buildout, or go-to-market analytics is a plus
  • Strong analytical and problem-solving skills
  • Experience using machine learning and statistical models to develop strategies
  • Must have strong proficiency in SQL, Python and Tableau. Knowledge of R and Knowledge Seeker will be a plus
  • Fiserv and/or FICO fraud tool experience is a plus
  • Strong communication skills ability to communicate technical subject matter clearly and succinctly to other team members and Senior Management team
  • Knowledge and experience of segmentation, statistical procedures, and financial analytic tools are required
  • Curious to ask questions, probe into reasons and challenge the status quo
  • Eager to learn new tools, technologies, and methodologies to stay ahead of industry trends. Growth mindsetcontinuously learning, experimenting, and improving both personally and as part of the team
  • Strong ownership and motivation to drive business results
  • Ability to work in a fast-paced environment and meet deadlines without sacrificing quality
  • Team player who thrives in collaborative, cross-functional environments

Resources to help you Prosper

  • A connected experience: We prioritize high-touch collaboration and flexibility. Whether you are working from our San Francisco or Phoenix offices or joining us as a fully remote team member, we provide the digital-first tools and intentional culture to keep you synced and supported
  • Invested in your future: A competitive salary and a 401(k) with a 5% company match to help you build long-term financial security
  • Holistic well-being: We provide the resources you need to thrive, from flexible time off and paid parental leave to an annual wellness allowance and comprehensive health coverage
  • Professional & personal growth: Take advantage of a suite of premium perks, including Udemy access, childcare assistance, pet insurance, and a bevy of additional savings through Beneplace

Interview process

  • Recruiter Call: A brief screening to discuss your experience and initial questions
  • Department Interview: Deeper dive into technical skills and project alignment with the Hiring Manager or team member
  • Technical Interview: Live, collaborative coding session
  • Team/Virtual Interview: Meet team members for collaborative discussions

$129,000 - $161,000 a year Compensation details: The salary range is $129,000 - $161,000 annually, plus bonus and generous benefits. In determining your salary, we will consider your location, experience, and other job-related factors.