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Quantitative Risk Jobs in Arizona (NOW HIRING)

... quantitative risk-taking discipline, including 2+ years leading teams * Strong analytical instincts and hypothesis-driven problem solving: the ability to pair intuition with data, work both top-down ...

Have demonstrated quantitative risk assessment (QRA) experience, and expertly interpret and communicate findings to key partners * Have strong expertise working with Primavera P6 planning software to ...

Advanced understanding of asset lifecycle management, reliability engineering, quantitative risk assessment, and capital planning * Analyze equipment performance and recommend improvements to enhance ...

The Clinical Risk Educator performs qualitative retrospective chart reviews for prioritized practices to ensure complete and accurate clinical documentation, utilizing quantitative measures to track ...

Advanced understanding of asset lifecycle management, reliability engineering, quantitative risk assessment, and capital planning * Analyze equipment performance and recommend improvements to enhance ...

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Quantitative Risk information

See Arizona salary details

$28.9K

$84.4K

$136.1K

How much do quantitative risk jobs pay per year?

As of Jun 21, 2026, the average yearly pay for quantitative risk in Arizona is $84,410.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,600.00 and $110,900.00 per year, depending on experience, location, and employer.

What is an example of a quantitative risk?

A quantitative risk in a risk analyst role involves measuring potential financial losses using numerical data, such as calculating the probability and impact of market fluctuations on investment portfolios. This often requires skills in statistical analysis, modeling, and tools like Excel or specialized risk management software.

How much do risk quants get paid?

Risk quants typically earn between $100,000 and $200,000 annually, with senior professionals and those in major financial centers earning higher salaries. Compensation often includes bonuses and depends on experience, education, and technical skills such as programming and statistical analysis.

What is the salary of a quant risk analyst?

The average salary of a quantitative risk analyst typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the size of the employer. Senior roles or those with advanced skills in programming and risk modeling can earn higher compensation, often exceeding $200,000 with bonuses and incentives.

How do Quantitative Risk professionals typically collaborate with other departments within a financial institution?

Quantitative Risk professionals frequently work with various teams such as trading, portfolio management, compliance, and IT. This collaboration helps ensure that risk models accurately reflect real-world exposures and regulatory standards. Effective communication is key, as Quantitative Risk staff must translate complex data and models into actionable insights for non-technical stakeholders. Regular cross-departmental meetings and project-based collaborations are common, promoting a dynamic and integrated work environment.

What is the difference between Quantitative Risk vs Quantitative Analyst?

AspectQuantitative RiskQuantitative Analyst
Primary FocusAssessing and managing financial risks using quantitative methodsDeveloping models and strategies to analyze financial data and inform investment decisions
Required CredentialsOften requires risk management certifications (FRM, PRM), advanced degrees in finance, mathematics, or statisticsTypically requires degrees in finance, economics, mathematics, or related fields; certifications like CFA may be common
Work EnvironmentFinancial institutions, risk management departments, banksInvestment firms, hedge funds, banks, financial services companies

Quantitative Risk professionals focus on identifying and mitigating financial risks through specialized models, while Quantitative Analysts develop analytical models to support trading, investment, and financial decision-making. Both roles require strong quantitative skills and often similar educational backgrounds, but their core objectives differ: risk management versus financial analysis and strategy development.

What is a Quantitative Risk Analyst?

A Quantitative Risk Analyst is a finance professional who uses mathematical models and statistical techniques to assess and manage financial risks for organizations, particularly in banking, investment, and insurance sectors. They analyze data, develop risk models, and help companies make informed decisions to minimize potential losses. Their work involves programming, data analysis, and communicating complex risk scenarios to stakeholders. Quantitative Risk Analysts play a crucial role in ensuring that organizations remain financially stable and compliant with regulatory requirements.

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

To thrive as a Quantitative Risk Analyst, you need strong analytical skills, expertise in statistics and mathematics, and a relevant degree such as finance, mathematics, or engineering. Familiarity with statistical software (such as R, Python, or SAS), risk modeling tools, and industry certifications like FRM or CFA is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for accurately assessing risk, supporting strategic decisions, and ensuring the financial stability of organizations.

What jobs make $1,000,000 a year?

In the field of quantitative risk, high-level roles such as Chief Risk Officer or senior quantitative risk managers at large financial institutions can earn over $1 million annually through base salary, bonuses, and incentives. These positions typically require advanced degrees, extensive experience, and strong skills in risk modeling, data analysis, and financial regulations. Compensation at this level is often tied to company performance and individual contributions.
What are the most commonly searched types of Quantitative Risk jobs in Arizona? The most popular types of Quantitative Risk jobs in Arizona are:
What job categories do people searching Quantitative Risk jobs in Arizona look for? The top searched job categories for Quantitative Risk jobs in Arizona are:
What cities in Arizona are hiring for Quantitative Risk jobs? Cities in Arizona with the most Quantitative Risk job openings:
Division Portfolio Lead

Division Portfolio Lead

Opendoor

Phoenix, AZ

Other

Posted 8 days ago


Job description

About Opendoor
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people and we're just getting started.
About the role
The Portfolio Management team sits at the heart of Opendoor's proprietary pricing engine. We own and shape the resale strategy across a multi-billion dollar portfolio, balancing our financial goals against real risk in one of the most complex markets in the world.
This role leads the Core book: Opendoor's cash-product inventory across every active market in the US. It is the largest and most economically material book the company owns. As Divisional Portfolio Lead, Core, you will be accountable for how that entire book performs, while leading and upleveling the team of Portfolio Managers who make the home-by-home calls.
You will sit one layer above the individual assets, running a continuous cycle of diagnosing issues in the portfolio, building action plans, and measuring the result. You will be analytically rigorous, commercially sharp, and a strong coach to a tenured team. This is a high-ownership leadership seat where everything in resale, good and bad, ultimately lands on your desk.
What You'll Do
  • Own resale strategy execution for the multi-market Core cash-product book, managing clearance pace, levered gross margin, and tail-cohort exposure
  • Lead and uplevel a team of roughly 9 Portfolio Managers and Senior Portfolio Managers, owning standard operating procedures, performance management, career development, onboarding, and feedback loops
  • Run the diagnose, act, measure cycle on the book: identify worrisome markets, cohorts, or PMs and drive each one through to measurable improvement
  • Serve as the judgment layer on asset-level pricing decisions, knowing when to deviate from budget or model recommendations and supporting the team through edge cases
  • Drive sell-through alpha on the cash-product book while keeping the tail cohort within agreed risk bounds, prioritizing sell-down of higher-risk inventory in softening markets
  • Bring an operator's perspective to the evolution of our resale system, models, and tooling, and feed insight back to the teams building them to improve PM efficiency and alpha
  • Partner cross-functionally with Acquisition Pricing, specialist portfolio teams, Home Operations, and the broader pricing organization to keep the Core book set up to win
  • Default to AI, continuously pushing how evolving AI tools can uplevel your decisions, your processes, and your team
What You'll Need
  • 6+ years in portfolio management, asset management, trading, or an analogous quantitative risk-taking discipline, including 2+ years leading teams
  • Strong analytical instincts and hypothesis-driven problem solving: the ability to pair intuition with data, work both top-down and bottom-up, form a thesis, find the evidence, and act on it.
  • A demonstrated track record managing a portfolio through both strong and weak market regimes, including the discipline to capture limited demand when conditions are tough
  • Strong people-leadership instincts, with real experience building, developing, coaching, and retaining a high-performing team, including the ability to coach on asset-level decisions
  • A learning mindset that defaults to AI: you are already experimenting with the tools available to you and iterating on your own workflows, and you are excited to push that further across a team
  • Excellent written and verbal communication
  • Alignment with Opendoor's mission
Bonus Points
  • Direct experience in residential real estate, iBuying, single-family rental, REITs, or homebuilding, particularly in resale operations or portfolio management
  • Comfort with SQL or similar analytical tooling, and experience partnering with Data Science or Engineering to build software and algorithms that improve portfolio outcomes
  • Experience operating in a fast-paced, high-growth, outcome-driven environment

Location
This role is based in our Phoenix, AZ office, in-person four days per week (Monday, Tuesday, Thursday, Friday). Candidates must be based within commuting distance of the office.
The pay range for this role is:
95,760 - 131,670 USD per year (US Zone 3)