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Remote Risk Quant Jobs in Carnation, WA (NOW HIRING)

Senior Analyst, AML Know Your Customer

Seattle, WA ยท On-site +1

$97K - $127K/yr

Reviewing higher and high risk client relationships to ensure that customer due diligence is ... S. degree; quantitative or technical degree a plus. * 4+ years of relevant experience in AML and ...

Safety and Claims Coordinator

Bothell, WA ยท On-site +1

$40.41 - $51.37/hr

Regular Part Time Remote Employment: Flexible/Hybrid Job Number: 26-00248 Department: Employee and ... risk management, and personnel-related programs and processes. A successful candidate in this ...

Remote Risk Quant information

See Carnation, WA salary details

$110.3K

$191.1K

$292.1K

How much do remote risk quant jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote risk quant in Carnation, WA is $191,068.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,400.00 and $224,000.00 per year, depending on experience, location, and employer.

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 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 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 cities near Carnation, WA are hiring for Remote Risk Quant jobs? Cities near Carnation, WA with the most Remote Risk Quant job openings:

Senior Portfolio Analyst, Asset Allocation

Principal Financial Group

Seattle, WA โ€ข On-site, Remote

$157K - $213K/yr

Full-time

Posted 15 days ago


Job description

What You'll Do

The Senior Portfolio Analyst role within Principal Asset Allocationโ€™s (PAA) Portfolio Management team ($250 billionย in assets)ย is responsible forย the day-to-day research and implementation of open-architecture, multi-manager equity strategies. This role supports core-satellite strategies in portfolio construction and management decisions across six active equity strategies through quantitative research and analysis of approximatelyย $20 billionย in AUM.ย 

Whatย Youโ€™llย Doย 

  • Lead research efforts focused on developing, enhancing, andย maintainingย systematic indicators to inform portfolio management decisions, including active-passive allocations, manager allocations, and portfolio construction across core-satellite portfoliosย 
  • Enhance active-passive implementation frameworks toย determineย theย optimalย use of active managers, passive exposures, and blended structures based on market conditions, macro trends, and asset class dynamicsย 
  • Design andย maintainย systematic risk mitigation signals, including mean reversion and stop-loss frameworks, to guide tactical positioningย 
  • Build,ย maintain, and enhance quantitative models and analytical frameworks used for portfolio optimization, signal generation, scenario analysis, and performance attributionย 
  • Monitor portfolio risk exposures, including sector, regional, factor, style, and macroeconomic risks, ensuring alignment with investmentย objectivesย and risk tolerancesย 
  • Conduct research on market structure, behavioral finance, factor dynamics, and systematic investment strategies to support portfolio outcomesย ย 
  • Support portfolio management decision-making through analysis that informs portfolio allocation recommendationsย 

Who You Are
  • Bachelor's degree with an emphasis in finance, economics,ย accounting, orย anotherย technical fieldย 
  • 8+ย yearsย relatedย experienceย that includesย quantitativeย research, risk management, risk analysisย 
  • Experience working with equities or equity portfolios, including exposure to portfolio construction, manager selection, or equity market analysisย 
  • Strong understanding of portfolio construction,ย asset allocation, managerย selectionย and risk managementย 
  • Programming experienceย (Python, R, C++, SQL)ย 
  • Experienceย withย performance or risk-based platformsย such asย Factset, Barra, Bloomberg, Morningstarย 
  • ย 

Skillsย That Will Help You Stand Outย 

  • Advanced training in mathematics, statistics, computer science, or another highly quantitative fieldย 
  • Demonstrates strong analyticalย and problem-solving skills with the ability to synthesize large datasets into actionable insights and recommendationsย 
  • Experience applying artificial intelligence or machine learning techniques to portfolio construction, investment research, or signal developmentย 
  • Excellent ability to communicate advanced concepts in a concise and logical mannerย 
  • Strong attention to detail, organizational skills, and the ability to manage multiple tasks and requests from various stakeholders inย a timelyย and efficient mannerย 

Salary Range Information
Salary ranges below reflect targeted base salaries. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.
Salary Range (Non-Exempt expressed as hourly; Exempt expressed as yearly)
$157000 - $213000 / year
Salary Details

The base salary range for this role is $157,000 - $213,000 as indicated above. Final compensation will be determined based on skills, experience, and alignment with the roleโ€™s responsibilities.

In addition to base pay, this role participates in an annual profit share bonus plan.


Time Off Program
Flexible Time Off (FTO) is provided to salaried (exempt) employees and provides the opportunity to take time away from the office with pay for vacation, personal or short-term illness. Employees don't accrue a bank of time off under FTO and there is no set number of days provided.
Pension Eligible
No Location(s)

Weโ€™re open to considering remote and hybrid talent. Locations for hybrid talent include New York City, Raleigh, Des Moines or Seattle.

Work Authorization/Sponsorship

At this time, we're not considering applicants that need any type of immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs please use the following links.

Nonimmigrant Workers and Green Card for Employment-Based ImmigrantsInvestment Code of Ethics

For Principal Asset Management positions, youโ€™ll need to follow an Investment Code of Ethics related to personal and business conduct as well as personal trading activities for you and members of your household. These same requirements may also apply to other positions across the organization.

Experience Principal

At Principal, we value connecting on both a personal and professional level. Together, weโ€™re imagining a more purpose-led future for financial services โ€“ and that starts with you. Our success depends on the unique experiences, backgrounds, and talents of our employees. And we support our employees the same way we support our customers: with comprehensive, competitive benefit offerings crafted to protect their physical, financial, and social well-being. Check out our careers site to learn more about our purpose, values and benefits.

Principal is an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.


Posting Window
We will accept applications for 3 full days following the Original Posting Date, after which the posting may remain open or be removed based upon applications received. If we choose to post the job again, we will accept additional applications for at least 1 full day following the Most Recently Posted Date. Please submit applications in a timely manner as there is no guarantee the posting will be available beyond the applicable deadline.
Original Posting Date
6/3/2026
Most Recently Posted Date
6/3/2026
ย 

Principal uses artificial intelligence tools to assist in reviewing and evaluating job applications, fraud prevention, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review ourย Workforce (U.S.) Privacy Noticeย for more details on our practices and your data privacy rights.

Qualifications:
  • Bachelor's degree with an emphasis in finance, economics,ย accounting, orย anotherย technical fieldย 
  • 8+ย yearsย relatedย experienceย that includesย quantitativeย research, risk management, risk analysisย 
  • Experience working with equities or equity portfolios, including exposure to portfolio construction, manager selection, or equity market analysisย 
  • Strong understanding of portfolio construction,ย asset allocation, managerย selectionย and risk managementย 
  • Programming experienceย (Python, R, C++, SQL)ย 
  • Experienceย withย performance or risk-based platformsย such asย Factset, Barra, Bloomberg, Morningstarย 
  • ย 

Skillsย That Will Help You Stand Outย 

  • Advanced training in mathematics, statistics, computer science, or another highly quantitative fieldย 
  • Demonstrates strong analyticalย and problem-solving skills with the ability to synthesize large datasets into actionable insights and recommendationsย 
  • Experience applying artificial intelligence or machine learning techniques to portfolio construction, investment research, or signal developmentย 
  • Excellent ability to communicate advanced concepts in a concise and logical mannerย 
  • Strong attention to detail, organizational skills, and the ability to manage multiple tasks and requests from various stakeholders inย a timelyย and efficient mannerย 
Education:UNAVAILABLEEmployment Type: FULL_TIME