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

Quant Python Remote information

See Ontario, CA salary details

$13

$59

$87

How much do quant python remote jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for quant python remote in Ontario, CA is $59.64, according to ZipRecruiter salary data. Most workers in this role earn between $49.18 and $67.74 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 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?

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 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 job categories do people searching Quant Python Remote jobs in Ontario, CA look for? The top searched job categories for Quant Python Remote jobs in Ontario, CA are:
What cities near Ontario, CA are hiring for Quant Python Remote jobs? Cities near Ontario, CA with the most Quant Python Remote job openings:
Manager, Statistical Analysis - W&H

Manager, Statistical Analysis - W&H

Ogletree Deakins

Riverside, CA • On-site, Remote

$155K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

Focused on employment and labor law since 1958, Jackson Lewis P.C.'s 1,000+ attorneys located in major cities nationwide consistently identify and respond to new ways workplace law intersects business. We help employers develop proactive strategies, strong policies and business-oriented solutions to cultivate high-functioning workforces that are engaged and stable, and share our clients' goals to emphasize belonging and respect for the contributions of every employee.

The Firm is ranked in the First Tier nationally in the category of Labor and Employment Litigation, as well as in both Employment Law and Labor Law on behalf of Management, in the U.S. News - Best Lawyers "Best Law Firms".

This position will be fully remote, and will work closely with attorneys in the Jackson Lewis Wage and Hour Practice Group. This position will report to the Director of Data Analytics. The successful incumbent possesses deep analytical skills, is knowledgeable about the practice area, and works collaboratively across a national platform to streamline processes and deliver timely and accurate analysis that meet the needs of our clients.

Job Summary (basic description)

The Manager, Statistical Analysis is responsible for:

  • The quality and efficiency of the statistical work the assigned statistician team conducts in partnership with our attorneys and on behalf of our clients
  • Performing a variety of quantitative and qualitative statistical analyses leveraging various mediums on behalf of firm clients and in collaboration with Practice Group attorneys who support Wage & Hour litigation and day-to-day advice and counsel
  • Partnering with the Senior Director of Practice Enablement, Director of Data Analytics, and Practice Group attorneys to successfully manage and develop Practice Group Statisticians & Data Analysts
  • Training and development of Practice Group Statisticians, Data Analysts, and other data analytics professionals
  • Proactively managing the workflow of Practice Group projects and ensuring timely and accurate delivery of work product
  • Developing scalable processes to streamline work and more effectively meet needs of our clients and attorneys

Essential Functions

  • Design and implement all aspects of statistical analysis projects for firm clients.
  • Provide analysis to support defense strategies for federal, state agency and private litigation matters.
  • Communicate orally and in writing with clients regarding projects and data.
  • Manage deadlines and ensure projects are completed in a timely fashion.
  • Review and analyze large data sets for completeness and accuracy.
  • Design and create data summaries and databases from data obtained from various sources, including raw data and multiple forms of evidence.
  • Organize and maintain electronic and hard copy data files.
  • Work closely with Practice Group Principals to support continuity and consistency of statistical analysis among all JL offices and to support practice group initiatives.
  • Coordinate, prioritize, and manage the workload and project assignments of the Statisticians, Data Analysts, and other data analytics professionals.
  • Monitor project budgets to maximize profits and ensure efficiencies.

Qualifications/Skills Required

Required

  • 2+ years experience as manager of people, processes, quality and efficiency within a professional services setting.
  • 10 years of professional statistical and project management experience.
  • High level of proficiency in data analysis tools to include relational database concepts, language such as R, Python, VBA and applications such as Excel
  • Familiarity with entire MS Office 365 Suite.
  • Understanding of statistical concepts and tools sufficient to conduct and supervise accurate large-scale wage and hour statistical analysis
  • Critical thinking and problem-solving skills.
  • Ability to multi-task and manage multiple projects, from start to finish, with shifting priority levels.
  • Ability to work in a fast-paced environment.
  • Ability to interpret and report on client data.
  • Strong attention to detail, organizational, and communication skills.

Preferred

  • 10 years of experience in law firm focusing on EEO/Wage & Hour.
  • Ability to write programs/macros to automate repetitive statistical and data tasks.
  • Experience leveraging AI and LLMs to automate processes and ensure quality control of work.

Educational Requirements

  • Masters'-level degree in applied statistics, mathematics, economics, or a similar field or commensurate experience, required.

For California, the expected salary range for this position is between $155,000 and $170,000. This position is also eligible for annual bonuses. The actualcompensation will be determined based on experience and other factors permitted by law.

Jackson Lewis offers a competitive benefits package that includes:
Medical, dental, vision, life and disability insurance
401(k) Retirement Plan
Flexible Spending and Health Savings Account
Firm-paid holidays, vacation and sick time
Employee assistance program and other firm benefits

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. For those applying for a position in the city of Los Angeles, the firm will consider for employment qualified applicants with a criminal history in a manner consistent with applicable federal, state and local law.