... days remote) Work Authorization: U.S. Citizenship required Overview The Senior Energy Portfolio ... Strong capability in quantitative analysis and model development. * Advanced Excel skills and ...
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... days remote) Work Authorization: U.S. Citizenship required Overview The Senior Energy Portfolio ... Strong capability in quantitative analysis and model development. * Advanced Excel skills and ...
Quant Python Remote information
See Spokane, WA salary details
$13.37 - $20.09
1% of jobs
$20.09 - $26.80
0% of jobs
$26.80 - $33.52
2% of jobs
$33.52 - $40.24
5% of jobs
$40.24 - $46.95
11% of jobs
$48.93 is the 25th percentile. Wages below this are outliers.
$46.95 - $53.67
18% of jobs
The median wage is $57.18 / hr.
$53.67 - $60.39
24% of jobs
$65.53 is the 75th percentile. Wages above this are outliers.
$60.39 - $67.11
18% of jobs
$67.11 - $73.82
13% of jobs
$73.82 - $80.54
5% of jobs
$80.54 - $87.26
3% of jobs
$13
$59
$87
How much do quant python remote jobs pay per hour?
As of May 31, 2026, the average hourly pay for quant python remote in Spokane, WA is $59.27, according to ZipRecruiter salary data. Most workers in this role earn between $48.85 and $67.31 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Quant Python Remote professional, and why are they important?
To thrive as a Quant Python Remote professional, you need a strong background in quantitative analysis, mathematics, and expertise in Python programming, often supported by a degree in a quantitative field. Familiarity with libraries like NumPy, pandas, and scikit-learn, as well as experience with version control systems and cloud-based collaboration tools, is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills help distinguish top performers in this role. These competencies are crucial for developing robust quantitative models, collaborating efficiently across distributed teams, and driving data-driven decision-making in finance or related sectors.
What are some typical challenges faced by Quant Python professionals working remotely, and how can they be addressed?
Quant Python professionals working remotely often encounter challenges such as collaborating effectively with team members across different time zones, maintaining clear communication on complex quantitative models, and ensuring secure access to sensitive financial data. To address these issues, it's important to utilize robust collaboration tools (like Slack or Zoom), establish regular check-ins with teammates, and follow best practices for code documentation and version control. Additionally, many employers provide secure VPNs and cloud-based platforms to facilitate safe data access, helping remote quants stay productive and connected.
What is a Quant Python Remote job?
A Quant Python Remote job involves working as a quantitative analyst or developer, focusing on financial modeling, data analysis, and algorithmic trading using Python, all while working remotely. Professionals in this role use Python to develop quantitative strategies, analyze financial data, and create tools for risk management or trading. These jobs are popular in hedge funds, investment banks, and fintech companies seeking experts who can work from anywhere. Strong programming skills, knowledge of statistics, and experience in finance are typically required.
What is the difference between Quant Python Remote vs Quantitative Analyst?
| Aspect | Quant Python Remote | Quantitative Analyst |
|---|---|---|
| Required Credentials | Degree in Math, Stats, or CS; Python proficiency; sometimes certifications | Degree in Finance, Math, or Economics; strong programming skills; certifications like CFA are common |
| Work Environment | Remote, flexible hours, often self-directed | Typically office-based, but increasingly remote; collaborative teams |
| Employer & Industry | Financial firms, hedge funds, fintech companies | Investment banks, asset management firms, hedge funds |
| Search & Comparison Intent | Looking for remote Python-based quant roles | Seeking quantitative analysis roles in finance |
While both roles involve quantitative skills and finance knowledge, Quant Python Remote emphasizes remote work and Python programming, whereas Quantitative Analyst roles may be more traditional and office-based, often requiring finance-specific certifications. Candidates should consider their preferred work environment and skill set when choosing between these roles.
What are popular job titles related to Quant Python Remote jobs in Spokane, WA? For Quant Python Remote jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Quant Python Remote jobs in Spokane, WA look for? The top searched job categories for Quant Python Remote jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Quant Python Remote jobs? Cities near Spokane, WA with the most Quant Python Remote job openings:
Full-time
Posted 23 days ago
Job description
Senior Energy Portfolio Analyst
Job type: Full-Time, direct-hire, hybrid onsite
Schedule: 4X10 schedule, Monday through Thursday (2 days on site, 2 days remote)
Work Authorization: U.S. Citizenship required
Overview
The Senior Energy Portfolio Analyst is responsible for performing complex analytical work to support energy portfolio strategy and planning. This position focuses on building and refining models used to guide resource planning, procurement strategies, and compliance efforts. The role plays a key part in ensuring a balanced energy portfolio that meets reliability, cost, and sustainability objectives while supporting long-term planning and risk mitigation.
Core Responsibilities
- Design, update, and manage long-range analytical models used to assess portfolio performance, including cost, reliability, and risk considerations across generation resources.
- Conduct analysis of potential energy resources, including renewables, storage solutions, demand-side programs, and market-based options.
- Support portfolio risk assessment through forecasting and scenario modeling to inform long-term planning initiatives.
- Partner with internal teams such as finance, pricing, and operations to ensure alignment between analytical insights and business objectives.
- Provide data-driven insights to support commercial activities and market participation within defined risk guidelines.
- Maintain clear and organized documentation of modeling approaches, assumptions, and outputs to support transparency and auditability.
- Improve and standardize analytical processes, tools, and workflows to enhance consistency and efficiency.
- Create reports, dashboards, and visual tools to communicate key findings related to performance, forecasts, and risk exposure.
- Present analytical results and recommendations to stakeholders, both technical and non-technical.
- Stay aligned with applicable regulatory requirements, internal policies, and industry standards.
Preferred Qualifications
- Familiarity with industry modeling or simulation platforms.
- Experience working with programming or data tools such as Python, R, SQL, or similar.
- Experience using data visualization platforms such as Power BI, Tableau, or equivalent.
Additional Skills and Competencies
- Strong capability in quantitative analysis and model development.
- Advanced Excel skills and proficiency with modern data analysis tools.
- General understanding of energy markets, infrastructure systems, or comparable industries.
- Awareness of regulatory frameworks and compliance considerations within relevant sectors.
- Experience with financial analysis, forecasting, or risk modeling techniques.
- Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
- Strong written and verbal communication skills, with the ability to convey complex information clearly.
Requirements:
Required Qualifications
- Bachelor’s degree in a relevant discipline such as Engineering, Mathematics, Business, or Computer Science (or equivalent practical experience).
- At least two years of experience in analytical roles related to energy systems, utility analysis, power supply, resource planning, or similar fields.