Remote Risk Data Analyst Jobs
Remote Risk Data Analyst jobs are open across finance, insurance, fintech, and healthcare at companies building distributed risk and analytics teams, from entry-level analysts supporting credit or operational risk functions to senior analysts leading model validation and reporting. Employers hiring remotely right now include Kafene, Ocrolus, and Turner & Townsend Pty Limited. Find a role that fits below and apply directly.
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Showing 5 of 15+ Remote Risk Data Analyst jobs
Your role in our mission
Prosper is seeking a Data Scientist for the Data Science team under our Credit Risk Analytics vertical. You will become a core contributor with machine learning expertise on the credit risk team and deliver results that directly impact our business.
How you’ll make an impact
- Build industry-leading machine learning models for managing credit and fraud risks
Leverage complex data sources (e.g., credit bureau reports, customer-supplied information) at scale to develop credit and fraud strategies to improve the credit performance and optimize risk decisions.
Collaborate with engineers to deploy your models into a production environment
Propose and execute solutions to various problems within business constraints
Use responsible AI technique following regulatory requirements and lending best practices
Help the team with developing tools and workflow solutions to increase data science productivity
Actively monitor the credit risk models in production
Extract the most value out of data to significantly impact our key business metrics
Assess the potential usefulness and validity of machine learning algorithms and features through various data sources
Conduct ad-hoc analysis related to risk management, investor services, operations and corporate development
Skills that will help you thrive
-
3+ years of work experience in fintech, finance, or other high impact fields applying statistical and machine learning predictive techniques (educational experience taken into consideration). Consumer lending experience in unsecured personal loan or credit card is a plus
Advanced degree (M.S./PhD) preferably in statistics, computer science, engineering, physical sciences, economics, or related technical field
- Sr. level: M.S. with 6+ years of experience or PhD with 3+ years of experience
-
Expert knowledge in one of the statistical programming languages such as Python, and database languages such as SQL
Solid understanding of coding best practices and model documentation
Strong communication skills – ability to clearly and succinctly communicate technical subject matter to other team members and senior management
Strong interpersonal skills – collaborate with people across functions and develop strong relationships
Ability to work unsupervised in fast-paced environment and prioritize among parallel projects
Ability to think within regulatory guidelines with a mindset toward reproducible research
Self-motivated, results-oriented, enthusiastic, and a creative thinker
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: Deeper dive into coding skills
- Team/Virtual Interview: Meet team members for collaborative discussions, problem-solving, or technical exercise
Prosper introduced U.S. consumers to an innovative approach to personal finance as the first peer-to-peer lending platform in the country. Since 2005, Prosper has helped over 2 million customers achieve financial well-being through a comprehensive suite of digital personal finance products.
Prosper’s flagship personal loan* marketplace continues to offer unique value for both borrowers and investors, while the Prosper® Card¹ provides essential access to credit and flexibility for those managing their financial journey. Guided by its mission to advance financial well-being, Prosper is dedicated to helping people thrive by meeting people where they are with simple, trusted, and affordable financial solutions. Learn more at www.prosper.com.
- Diversity expands opportunities
- Collaboration creates better solutions
- Curiosity fuels our innovation
- Integrity defines all our relationships
- Excellence leads to longevity
- Simplicity guides our user experience
- Accountability at all levels drives results
- All personal loans are made by WebBank.
¹The Prosper® Card is an unsecured credit card issued by Coastal Community Bank, Member FDIC, pursuant to license by Mastercard® International.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Your role in our mission
Prosper is seeking a Data Scientist for the Data Science team under our Credit Risk Analytics vertical. You will become a core contributor with machine learning expertise on the credit risk team and deliver results that directly impact our business.
How you’ll make an impact
- Build industry-leading machine learning models for managing credit and fraud risks
Leverage complex data sources (e.g., credit bureau reports, customer-supplied information) at scale to develop credit and fraud strategies to improve the credit performance and optimize risk decisions.
Collaborate with engineers to deploy your models into a production environment
Propose and execute solutions to various problems within business constraints
Use responsible AI technique following regulatory requirements and lending best practices
Help the team with developing tools and workflow solutions to increase data science productivity
Actively monitor the credit risk models in production
Extract the most value out of data to significantly impact our key business metrics
Assess the potential usefulness and validity of machine learning algorithms and features through various data sources
Conduct ad-hoc analysis related to risk management, investor services, operations and corporate development
Skills that will help you thrive
-
3+ years of work experience in fintech, finance, or other high impact fields applying statistical and machine learning predictive techniques (educational experience taken into consideration). Consumer lending experience in unsecured personal loan or credit card is a plus
Advanced degree (M.S./PhD) preferably in statistics, computer science, engineering, physical sciences, economics, or related technical field
- Sr. level: M.S. with 6+ years of experience or PhD with 3+ years of experience
-
Expert knowledge in one of the statistical programming languages such as Python, and database languages such as SQL
Solid understanding of coding best practices and model documentation
Strong communication skills – ability to clearly and succinctly communicate technical subject matter to other team members and senior management
Strong interpersonal skills – collaborate with people across functions and develop strong relationships
Ability to work unsupervised in fast-paced environment and prioritize among parallel projects
Ability to think within regulatory guidelines with a mindset toward reproducible research
Self-motivated, results-oriented, enthusiastic, and a creative thinker
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: Deeper dive into coding skills
- Team/Virtual Interview: Meet team members for collaborative discussions, problem-solving, or technical exercise
Prosper introduced U.S. consumers to an innovative approach to personal finance as the first peer-to-peer lending platform in the country. Since 2005, Prosper has helped over 2 million customers achieve financial well-being through a comprehensive suite of digital personal finance products.
Prosper’s flagship personal loan* marketplace continues to offer unique value for both borrowers and investors, while the Prosper® Card¹ provides essential access to credit and flexibility for those managing their financial journey. Guided by its mission to advance financial well-being, Prosper is dedicated to helping people thrive by meeting people where they are with simple, trusted, and affordable financial solutions. Learn more at www.prosper.com.
- Diversity expands opportunities
- Collaboration creates better solutions
- Curiosity fuels our innovation
- Integrity defines all our relationships
- Excellence leads to longevity
- Simplicity guides our user experience
- Accountability at all levels drives results
- All personal loans are made by WebBank.
¹The Prosper® Card is an unsecured credit card issued by Coastal Community Bank, Member FDIC, pursuant to license by Mastercard® International.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Find Remote Risk Data Analyst JobsRemote Risk Data Analyst Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote risk data analyst jobs.
- Bachelor's degree in statistics, mathematics, finance, economics, or a related quantitative field
- Proficiency in SQL for querying large financial or operational datasets
- Experience with Python or R for statistical modeling and data analysis
- Familiarity with risk frameworks such as credit risk, market risk, or operational risk
- Knowledge of regulatory requirements including Basel III, CCAR, CECL, or DFAST
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms
Tips for Your Remote Risk Data Analyst Job Search
Show async communication skills upfront
Remote risk teams depend on written handoffs and documented analysis. Include a brief sample of a risk summary, model write-up, or data memo you've produced independently. It signals you can work without real-time supervision, which remote hiring managers screen for early.
Apply early to remote roles that fit
Migrate Mate lists remote risk data analyst openings from across the U.S. in one place, so you can find roles that match your background and apply directly. Remote postings attract high volume quickly, so applying within the first few days of a listing going live improves your odds.
Highlight your remote risk toolset explicitly
Name the tools you actually use: SQL, Python, R, Tableau, or risk-specific platforms like SAS Risk or Moody's Analytics. Remote employers can't observe your workflow in person, so your application needs to make your technical environment visible and credible.
Prepare for async-style remote interviews
Many remote-first risk teams use recorded video questions or written case submissions before any live interview. Practice explaining a risk model decision or an analysis tradeoff in clear, structured writing. Remote interviewers are assessing how you communicate without body language cues.
Remote Risk Data Analyst Jobs: Frequently Asked Questions
How do I get a remote risk data analyst job?
Target companies with distributed data or risk teams, including fintech platforms, digital insurers, and financial services firms that operate without a centralized office. Remote employers screen hard for self-direction, clear async written communication, and proficiency in SQL, Python, and risk modeling tools. A portfolio showing independent analysis work, clean documentation, and stakeholder-ready outputs gives you a clear edge over candidates with similar credentials.
Which companies hire remote risk data analysts?
Employers currently hiring remote risk data analysts include Kafene, Ocrolus, and Turner & Townsend Pty Limited, per current remote listings on Migrate Mate as of November 2026. Remote-first financial services firms, insurtech and fintech companies, and large banks with distributed analytics teams account for the bulk of these openings.
Can you get a remote risk data analyst job with no experience?
Yes, but remote entry-level risk data analyst roles are harder to land because employers expect you to work independently from day one without in-person support. Companies most likely to hire remote entry-level candidates include fintech startups and digital lenders. Showing a portfolio with risk-related projects, strong SQL and Python skills, and evidence of self-directed work can open the door when experience is thin.
Do you need a degree for remote risk data analyst jobs?
Not always. Many remote employers prioritize demonstrated skills over formal credentials, especially in fintech and data-heavy startups. What matters most is your ability to build and interpret risk models, communicate findings clearly in writing, and work without supervision. Certifications in data analysis or risk management, combined with a strong project portfolio, can substitute for a traditional degree in a meaningful share of remote postings.
See All 15 Remote Risk Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Risk Data Analyst Jobs