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

Sr. Lead Data Analyst, Merchant

Los Angeles, CA · On-site +1

$92K - $116K/yr

Remote REPORTS TO: Head of Data The Company Sunbit builds financial technology for real life. Our ... Expert proficiency in SQL and other languages like python/R * Strong understanding of Data ...

Sr. Portfolio Data Analyst

Los Angeles, CA · On-site +1

$92K - $116K/yr

Remote (must be open to occasional business travel to Los Angeles and New York as needed) REPORTS ... Knowledge in Python, R or SAS * Knowledge of BI tool: Tableau, Sigma, or similar * Proficient in ...

Sr. Portfolio Data Analyst

Los Angeles, CA · Remote

$88K - $111K/yr

Remote (must be open to occasional business travel to Los Angeles and New York as needed) REPORTS ... Knowledge in Python, R or SAS * Knowledge of BI tool: Tableau, Sigma, or similar * Proficient in ...

Showing results 21-26

Quant Python Remote information

See Bellflower, CA salary details

$13

$61

$90

How much do quant python remote jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for quant python remote in Bellflower, CA is $61.26, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $69.57 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 job categories do people searching Quant Python Remote jobs in Bellflower, CA look for?

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

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

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

Infographic showing various Quant Python Remote job openings in Bellflower, CA as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $127,416 per year, or $61.3 per hour.

Senior Machine Learning Engineer

thatgamecompany

Los Angeles, CA • Remote

$120K - $205K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Senior Machine Learning Engineer

Remote US & Canada

We are seeking a highly motivated and autonomous Senior Machine Learning Engineer to join our team. In this role, you will be a driving force behind our core ML models and underlying data and training pipelines. We are looking for a self-starter, someone who is internally driven, passionate about their craft, and capable of collaboratively identifying, prioritizing, and executing workflows with their peers and stakeholders. If you thrive in an environment where you are trusted to own your projects end-to-end and can seamlessly explain complex technical concepts to both technical and non-technical stakeholders, we want to hear from you.

We expect you to:

  • Have deep passion for video games and think on behalf of our players

  • Be curious, a problem solver and a self starter who is comfortable taking risks and proactively identifying and pursuing business needs. Know how and when to apply your knowledge, and be willing to share it with those around you

  • Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space

  • Be responsible for your domain of expertise on projects from inception to delivery and beyond

Required Skills

  • 5+ years of experience in Machine Learning, Data Engineering, or a related quantitative field, with a track record of delivering end-to-end ML products

  • Expert knowledge of statistical modeling and ML methods including Classical ML, Deep Learning, NLP, and Anomaly Detection, with the ability to select the right tools for the task

  • Demonstrated proficiency in experimental design, hypothesis testing, and evaluating model performance

  • Proven track record of building and deploying scalable ML solutions in production, ideally using Kubernetes and GCP

  • Strong proficiency in Python, Java, or Scala, with an emphasis on writing clean, maintainable, and production-ready code, alongside the ability to write highly optimized SQL for complex dataset construction

  • Mastery of optimized SQL and experience with big data processing frameworks (e.g., Spark, Beam) and modern data lakehouse formats (e.g., BigQuery, Snowflake, Iceberg, Parquet)

  • Exceptional ability to translate complex technical architectures and ML concepts for non-technical stakeholders

Preferred Experience

Any of the following would be highly preferred, but most of all, we value team players who are eager to learn and contribute:

• Experience with graph databases, collaborative filtering, or user vectorization

• Experience with large-scale sentiment analysis

• Experience with Typescript or Golang

• Experience with source control, CICD, Protobuf, or infrastructure as code

• Experience in the video game industry

• Experience in a small company with a startup feel

• Interest in technical writing and sharing your work

Perks:

• Paid Time Off, Holidays and Two Weeks Winter Break

• Employees and their dependents get medical, dental, and vision coverage, regardless of their level, tenure, or position within the company. Moreover, these benefits start on the first day of the job—there’s no waiting period before they kick in.

• Pet Insurance for those who need it too.

• Compassionate leave for employees who needs to take care of their family members

• Pre-tax wellness stipend

• Pre-tax work from home stipend

• Access our savings plan (401K program) with company match

• Mental health resources including Headspace membership and Employee Assistance Program (EAP)

• Discount portal for everyday goods and services

• Employee inclusive and diversity initiatives such as Grow Together

• Support for personal professional development

We look forward to meeting you!

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

The salary range for this position is $120,000 USD to $205,700 USD annually, with the opportunity to earn an annual discretionary bonus. This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Employees in this position are eligible to participate in the Company’s standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, and paid time off.

Our base pay is benchmarked against regional market and industry data and is adjusted to reflect the cost of living in your specific geographic area.

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