2

Remote Risk Quant Jobs in Oregon (NOW HIRING)

By establishing and running a centralized, quantitative risk monitoring program for Upstart Bank ... Remote, San Mateo, CA, and Columbus, OH Travel requirements As a digital first company, the ...

Strong quantitative skills with experience in risk data aggregation, KRI design, and GRC tool ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

... conduct quantitative and qualitative analyses across a range of compliance and risk management ... Remote Primary Location Salary Range: $75/hr - $150/hr --- Responsibilities * Assimilate and manage ...

$130K - $150K/yr

This fully remote role will focus on developing and maintaining sophisticated quantitative models ... risk assessment. Ensure models are efficient, transparent, and suitable for deployment in ...

Sr. Actuary - Annuity Modeling (REMOTE)

OR · Remote

$116.40K - $136.90K/yr

Ensure team's adherence to model risk management standards, including documentation, testing ... quantitative analysis highly preferred. * At least 8 years of relevant actuarial experience ...

Vice President, Treasury

Portland, OR · On-site +1

$340K - $380K/yr

You will have the opportunity to work cross-functionally and use quantitative insights to drive ... Treasury is responsible for all elements of Affirm cash, funding, and risk management, including ...

Experience working with lending products, risk modeling, or financial services analytics ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

This position can be based out of Wakefield, MA or Remote. Key Responsibilities: * Be a key ... Strong quantitative and analytical skills * Contribute to the growth and development of our core ...

... risk identification. * Develops clear, qualitative and/or quantitative analyses in support of ... Duties are performed in a remote home office environment. * This position requires the ability to ...

next page

Showing results 1-20

Remote Risk Quant information

What are the key skills and qualifications needed to thrive as a Remote Risk Quant, and why are they important?

To thrive as a Remote Risk Quant, you need strong quantitative analysis skills, a background in mathematics, statistics, or finance, and typically an advanced degree such as a master's or PhD. Proficiency in programming languages like Python, R, or MATLAB, and familiarity with risk management systems and financial modeling tools are crucial. Exceptional problem-solving, attention to detail, and effective remote communication skills set top candidates apart. These abilities are vital for accurately assessing financial risks, developing robust models, and collaborating efficiently within distributed teams.

What are some common challenges faced by Remote Risk Quants and how can they be managed effectively?

Remote Risk Quants often encounter challenges such as limited access to real-time data streams, maintaining clear communication with on-site teams, and ensuring data security when working offsite. To manage these effectively, it's important to establish robust digital collaboration practices, utilize secure remote access tools, and maintain regular check-ins with stakeholders. Additionally, being proactive in seeking feedback and clarifications helps mitigate misunderstandings and keeps risk analysis aligned with organizational goals.

What are Remote Risk Quants?

Remote Risk Quants are quantitative analysts who work remotely to assess, measure, and manage financial risks for organizations. They use mathematical models, statistical techniques, and programming skills to analyze large datasets and forecast potential risks in investments, portfolios, or financial operations. By working remotely, they collaborate with teams using digital communication tools and often have flexible work arrangements. Their expertise is essential for financial institutions, hedge funds, and corporations to make data-driven risk management decisions.

What is the difference between Remote Risk Quant vs Remote Quantitative Analyst?

AspectRemote Risk QuantRemote Quantitative Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM often preferredSimilar credentials; degrees in math, finance, or engineering; certifications like CFA common
Work EnvironmentFinancial institutions, hedge funds, or risk management firms; primarily analytical and model development rolesFinancial firms, investment banks, or asset management; focus on data analysis and model building
Employer & Industry UsageUsed in risk management, compliance, and regulatory roles within financeUsed in trading, investment analysis, and quantitative research within finance

While both roles require strong quantitative skills and similar educational backgrounds, Remote Risk Quants focus more on assessing and managing financial risks, whereas Remote Quantitative Analysts often concentrate on developing models for trading or investment strategies. The roles overlap but differ mainly in their primary focus within the financial industry.

What are the most commonly searched types of Risk Quant jobs in Oregon? The most popular types of Risk Quant jobs in Oregon are:
What are popular job titles related to Remote Risk Quant jobs in Oregon? For Remote Risk Quant jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Risk Quant jobs in Oregon look for? The top searched job categories for Remote Risk Quant jobs in Oregon are:
What cities in Oregon are hiring for Remote Risk Quant jobs? Cities in Oregon with the most Remote Risk Quant job openings:
Infographic showing various Remote Risk Quant job openings in Oregon as of May 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 100% Remote job distribution.
Senior Manager, Risk Analytics

Senior Manager, Risk Analytics

Upstart

On-site, Remote

Other

Posted 2 days ago


Job description

The Team: 

Upstart's Risk team is hiring to enhance its second line of defense function in support of its application to establish a national bank. The Risk team is responsible for Upstart's enterprise risk management program and risk governance, as well as for providing independent oversight and credible challenge across the following risk categories: operational risk, treasury risk (including liquidity risk, interest rate risk, price risk, and capital management), and operational risk. We partner with first-line business functions, senior and executive leadership, and the board of directors to ensure effective identification and assessment, measurement, monitoring and reporting, and response and control for all core risk types and in alignment with regulatory expectations. 

Upstart is hiring a Senior Manager, Risk Analytics to build and own the Risk teams' risk data and analytics program, including the Key Risk Indicator (KRI) program and framework and quantitative risk reporting infrastructure. This role will work with first-line risk owners and second-line risk subject matter experts to: design and develop robust and scalable risk data models to empower the Risk team to retrieve meaningful insights; establish key risk indicators (KRIs) for all risk categories; implement centralized aggregation, monitoring, and reporting of those KRIs; and enforce a consistent methodology for risk metric measurement, threshold setting and monitoring, and breach escalation protocol and response framework. Additionally, this role will provide risk data support to all second-line risk teams, and will be a key standard setter for cross-team GRC tool usage. By establishing and running a centralized, quantitative risk monitoring program for Upstart Bank, this role is a key component of the overall ERM program, and will be a partner to senior first-line risk owners and second-line risk experts across all domains, as well as a liaison to external stakeholders such as examiners and auditors on the risk metrics program. 

How you'll make an impact

  • Understand how data is produced and consumed at a deep level in order to design risk data pipelines and models and build curated data sets to support enterprise-wide risk monitoring and reporting
  • Own and manage the KRI program, collaborating with first-line risk owners and second-line risk domain SMEs to design, track, and report on risk metrics across all risk types and business activities
  • Build and maintain risk reporting infrastructure, including dynamic dashboards, snapshot reporting, and risk data infrastructure and aggregation capabilities using existing company data sets and tools (e.g., Looker, Jira, Mode)
  • Meet consumers of risk data where they are by wearing an educator's hat and training them on risk dashboards and tools
  • Provide data and analytical support for enterprise risk assessments, management and board reporting, exam and audit requests, and ad hoc risk data requests
  • Partner with leaders in Risk to translate risk program requirements into scalable, repeatable data and reporting solutions
  • Support the setup, maintenance, and administration of the GRC tool for all Risk teams by defining cross-team 

Minimum Qualifications 

  • Bachelor's degree or equivalent practical experience
  • 7+ years of experience in risk analytics, or a related quantitative function in a banking or financial services environment
  • Strong understanding of data modeling concepts in both transactional and analytical databases
  • Demonstrated experience with risk data aggregation, KRI design and monitoring, or risk reporting infrastructure
  • Expertise in SQL, Python and ETL optimization techniques; as well as data tools such as Looker, Mode, or comparable BI/analytics platforms

Preferred Qualifications

  • Experience in a bank or OCC-regulated institution, particularly building risk monitoring programs in advance of regulatory examination
  • Familiarity with OCC or Federal Reserve expectations for enterprise risk reporting and KRI frameworks
  • Knowledge of quantitative risk measurement techniques such as scenario analysis or risk scoring methodologies
  • Experience building automated data pipelines or dashboards for regulatory or executive reporting
  • Experience implementing or managing a bank-grade GRC tool
  • Strong project management skills with a track record of independently driving programs from design to implementation

Position location This role is available in the following locations: Remote, San Mateo, CA, and Columbus, OH

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

#LI-REMOTE
#LI-MidSenior