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Quantitative Risk Jobs in Arizona (NOW HIRING)

USAA

Senior Marketing Data Scientist

Phoenix, AZ · On-site

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management ... OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience ...

Freddie Mac

$14.75 - $20/hr

... Quant Analytics, Economics, Finance, Risk Management, Technology (including Cyber and Software Development) and more. Join us to hear directly from our University Talent Advisors about: -Who we are ...

Freddie Mac

$15 - $20.25/hr

... Quant Analytics, Economics, Finance, Risk Management, Technology (including Cyber and Software Development) and more. Join us to hear directly from our University Talent Advisors about: -Who we are ...

Freddie Mac

$14.25 - $19.25/hr

... Quant Analytics, Economics, Finance, Risk Management, Technology (including Cyber and Software Development) and more. Join us to hear directly from our University Talent Advisors about: -Who we are ...

Freddie Mac

$15 - $20/hr

... Quant Analytics, Economics, Finance, Risk Management, Technology (including Cyber and Software Development) and more. Join us to hear directly from our University Talent Advisors about: -Who we are ...

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Quantitative Risk information

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.

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.

How hard is it to become a quantitative risk?

Becoming a quantitative risk professional typically requires a strong background in mathematics, statistics, or finance, often supported by a relevant degree such as a master's or Ph.D. in a quantitative field. Developing skills in programming languages like Python or R and understanding financial models are also important, and obtaining certifications such as FRM or CFA can enhance job prospects. The role demands analytical ability, attention to detail, and the capacity to work with complex data sets, making it a challenging but attainable career path for those with the right skills and education.

How much do quantitative risk analysts make?

Quantitative risk analysts typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Senior analysts or those in high-demand financial centers can earn over $150,000, often supplemented by bonuses and benefits. Strong skills in statistics, programming, and risk modeling tools are essential for higher compensation.

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 are popular job titles related to Quantitative Risk jobs in Arizona?

For Quantitative Risk jobs in Arizona, the most frequently searched job titles 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:

Quantitative Risk jobs near you
Infographic showing various Quantitative Risk job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Senior Associate, BESS Modeling & Structuring

Clearway Energy

Scottsdale, AZ • Hybrid

$137K - $177K/yr

Full-time

Re-posted 12 days ago

Job description

What The Role Is

Clearway Energy seeks an Associate or Senior Associate of BESS Modeling and Structuring to develop top-notch quantitative models that drive BESS valuation, structured products pricing, gas generation optimization, and power market analysis. In this role, you will be building Clearway's internal quantitative modeling platform (CWENQuant), developing advanced BESS dispatch optimization models, and directly impacting major commercial decisions across trading/origination/development/asset management.

If you don't meet 100% of the qualifications but see yourself contributing, please submit your resume

What You'll Be Doing
  • Develop and deploy to production complex optimization models and quantitative analysis for BESS dispatch optimization, renewables, gas generation, and data center infrastructure projects across the US.
  • Develop Stochastic or Machine Learning/Deep Learning models to forecast DA, Ancillary and RT prices based on the fundamental variables such as load, gas prices, wind + solar generation to inform trading.
  • Develop and maintain gas dispatch, HRCO, toll, and other structured pricing models, perform mark-to-market analysis, support due diligence, underwriting, and credit analytics.
  • Benchmark models against actual operations and market outcomes to improve forecast accuracy and optimization.
  • Provide analytical insights from modeling results to support Clearway budget process, trading activities and/or market advocacy
  • Build and enhance CWENs quantitative modeling platform (CWENQuant); develop data pipelines with internal and external resources, create automated workflows to produce analysis, build market data dashboards with the use of data science and optimization.
  • Analyze trading forwards in comparison with actual/historical power prices and fundamental forecasts to inform a view on trading strategies, risk practices, origination deals, contract pricing
  • Provide analytical insights from modeling results to support risk management, trading activities and/or market advocacy
  • Stay abreast of changing market conditions at both macro and micro levels, and their impact on markets
What You'll Bring
  • Bachelor's degree in Computer Science, Engineering, or related field
  • Senior Associate: 3+ years of quantitative or modeling experience ideally, within the energy sector, including trading firms, banks, utilities, IPPs, ISOs, or BESS companies.
  • Associate: <3 years years of quantitative or modeling experience ideally, within the energy sector, including trading firms, banks, utilities, IPPs, ISOs, or BESS companies.
  • Programming skills required: Python is a must, R, SQL, etc.
  • Working experience developing ML/DL models using scikit-learn, Keras, or TensorFlow
  • Experience with linear/Mixed Integer programming and associated tools like PuLP, Gurobi, CPlex etc
  • Working experience with stochastic models and the ability to develop models from scratch
  • Strong quantitative background with hand-on experience in coding in Python.
  • Knowledge of BESS (strongly preferred), renewable, conventional (gas) asset, HRCO, toll modeling
  • Strong understanding of power market economics, wholesale market structure, asset operations in ISO (CAISO, ERCOT, etc) markets
  • Proven ability to build high-quality, robust, and scalable quantitative, optimization models and stochastic or ML/DL forecasting frameworks such as price, load, or renewable generation forecasting
  • Ability to formulate and articulate viewpoints (written and verbal) in a clear, persuasive, and succinct manner
  • Ability to handle multiple concurrent efforts and provide high-quality deliverables accurately and on time
  • Ability to collaborate effectively across teams, communicate clearly, and contribute to a high-performing, respectful work environment that emphasizes attention to detail, meeting deadlines and working together to achieve company-wide objectives
  • Strong interpersonal, analytical, and problem-solving skills
  • Demonstrated ability to produce accurate, high-quality work in a fast-paced, deadline-driven environment
  • Strong ownership mindset with a commitment to delivering results and continuous improvement
  • Demonstrated curiosity and willingness to continuously learn and adapt in a rapidly evolving energy and market environment
What Would Be Nice
  • Masters or PhD.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

Pay Range Across all US Locations:

Associate: $115,000 - $150,000 USD

Sr. Associate: $137,000 - $177,000 USD

#LI-Hybrid

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