ZipRecruiter

Log In

2

Quant Python Remote Jobs in Oakland, CA (NOW HIRING)

Arize AI

AI Solutions Manager, West

San Francisco, CA · On-site +1

$165K - $215K/yr

While we are a remote-first company, the nature of this role requires candidates to be based in the ... Demonstrated ability to understand Python or SQL scripts * Strong communication and executive ...

Sagetap

Data Analyst

San Francisco, CA · On-site +1

$85K - $110K/yr

San Francisco preferred, though we're open to remote for an amazing candidate. What you will do ... Expert SQL, and experience using Python in a data engineering and analytics capacity. * Hands-on ...

ServiceNow

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

Proficiency in Python and SQL; track record of translating complex analytical work into measurable ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

ServiceNow

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

Proficiency in Python and SQL; track record of translating complex analytical work into measurable ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

previous page

Showing results 41-60

All JobsQuant Python JobsQuant Python Remote JobsQuant Python Remote Jobs in Oakland, CA

Quant Python Remote information

See Oakland, CA salary details

$15

$67

$99

How much do quant python remote jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for quant python remote in Oakland, CA is $67.33, according to ZipRecruiter salary data. Most workers in this role earn between $55.48 and $76.49 per hour, depending on experience, location, and employer.

What is a Quant Python Remote?

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 are the key skills and qualifications needed to thrive as a Quant Python Remote professional?

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 the difference between Quant Python Remote vs Quantitative Analyst?

AspectQuant Python RemoteQuantitative Analyst
Required CredentialsDegree in Math, Stats, or CS; Python proficiency; sometimes certificationsDegree in Finance, Math, or Economics; strong programming skills; certifications like CFA are common
Work EnvironmentRemote, flexible hours, often self-directedTypically office-based, but increasingly remote; collaborative teams
Employer & IndustryFinancial firms, hedge funds, fintech companiesInvestment banks, asset management firms, hedge funds
Search & Comparison IntentLooking for remote Python-based quant rolesSeeking 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 Oakland, CA?

For Quant Python Remote jobs in Oakland, CA, the most frequently searched job titles are:

What job categories do people searching Quant Python Remote jobs in Oakland, CA look for?

The top searched job categories for Quant Python Remote jobs in Oakland, CA are:

What cities near Oakland, CA are hiring for Quant Python Remote jobs?

Cities near Oakland, CA with the most Quant Python Remote job openings:

Quant Python Remote jobs near you
Infographic showing various Quant Python Remote job openings in Oakland, CA as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 10% Part Time, and 7% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $140,036 per year, or $67.3 per hour.

Senior Modeling & Simulation Engineer: Controls Integration

Menlo Park, CA • On-site, Remote

Mainspring Energy
Clean Energy Power Generation • 201 - 500 employees
Learn more about Mainspring Energyexternal

$135K - $160K/yr

Full-time

Posted 25 days ago

Key responsibilities

  • Determine the dynamic response of the generator system to control commands and develop numerical models for simulation.

  • Coordinate with controls engineers, understand controller inputs and responses, and oversee the execution of test plans on the generator.

  • Write, debug, and optimize solvers and simulation environments, and generate documentation of model design and results.

Job description

About Mainspring

Mainspring Energy manufactures and delivers fuel-flexible, low-emissions local power solutions that rapidly add new capacity and deliver reliable, affordable, and sustainable electric power. The company began commercial shipments of its Mainspring Linear Generators in 2020 and today has hundreds of megawatts in advanced development and field operations for leading Fortune 500 companies, data centers, and utilities. Mainspring also partners with global energy leaders including AEP, NextEra Energy Resources, Schneider Electric, and more.

The core values that ground our work, guide our decisions, and connect us together:

  • Pragmatic Optimism
  • Excellence without Ego
  • Proactive Collaboration
Job Overview

We have a high impact opportunity for a Modeling and Simulation Engineer to support the design, test, and manufacture of reliable and efficient linear generators at Mainspring Energy.  On the system modeling and simulation team, you will have a central role in refining the way generators are designed by providing the tools through which the control system can be designed and validated.  This role requires a quantitative physical understanding of the way things work combined with a passion and aptitude for software to bring that understanding to light.

Responsibilities

As part of this role, you will:

  • Determine the appropriate dynamic response of the generator system to a variety of control commands.   Write numerical models quantifying that behavior for simulation

  • Coordinate with controls engineers and navigate code in C++ to understand the inputs and expected response of the controller to sensed generator behavior

  • Generate test plans to investigate unknown system behavior or validate observations gleaned from other simulations.  Oversee the execution of those plans on the generator with support from the test team

  • Write and debug solvers for dynamic systems written as ordinary differential equations (ODEs) or differential algebraic equations (DAEs)

  • Architect custom simulation environments and optimize simulations and develop reduced-order models capable of computing simulated time steps faster than real time on dedicated hardware

  • Construct computational dynamic system models using appropriate conservation equations directly in high level programming languages, e.g. python, C++  

  • Participate in a robust development process following software best practices

  • Participate in peer review of code written in support of modeling, control, and software work throughout the team

  • Generate written documentation (presentations, reports, etc) of model design and simulation results for a variety of audiences at Mainspring

Your success in this role will be instrumental in reducing the time it takes to develop, test, and deploy new controls features for linear generators and provide value for our customers.  Having a thumb on the pulse of the generator as a system, you will be collaborating across technical domains, frequently integrating with executives and other leaders of software, mechanical design, and product development.

Qualifications

  • Engineering degree (Mechanical, Aerospace, Electrical, Chemical, etc) with a strong foundation in applied mathematics

  • Strong technical and analytical skills with 5+ years of practical experience in more than one physical domain relevant to linear generators: thermodynamics, electrical systems, fluid dynamics, etc

  • Familiarity with numerical techniques for modeling and simulation and their use within existing commercial packages (e.g. Simulink, Dymola, GT-Power, NPSS, etc)

  • Experience designing, writing, and validating custom models written in a high-level programming language, e.g. Fortran, C/C++, Python, Julia, etc

This position is a hybrid position (onsite + remote) at our Menlo Park HQ. The salary will be adjusted to reflect local market conditions based on employee location as well as the experience of the employee. Along with the base salary, Mainspring offers pre-IPO stock options + benefits.

Does your experience not meet all of our posted requirements? Studies have shown that some people are less likely to apply to positions unless they meet every listed requirement. At Mainspring, we are committed to building a diverse, inclusive, flexible, and collaborative environment, so if you want to help us transition the world to clean and affordable electricity, and don’t meet all posted requirements for a particular role, we’d still love to hear from you. Mainspring can sometimes be flexible enough to shift responsibilities for the right person, or otherwise identify open or upcoming roles that may better fit your professional background.
 
In more traditional words, Mainspring Energy, Inc 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, or protected veteran status and will not be discriminated against on the basis of disability.
 
This compensation and benefits information is based on Mainspring Energy's estimate as of the date of publication and may be modified in the future. We generally do not negotiate on salary once we have made an offer. The level of pay within the range will depend on a variety of job-related factors that may include location, relevant prior experience and/or education, or particular skills and expertise. New hires joining the company tend to be paid within the starting base pay range noted above, with opportunities to increase pay over time based on development of additional skills, competencies, and company-specific knowledge.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.