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Remote Algorithmic Trading Quant Jobs in Norwalk, CA

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Remote Algorithmic Trading Quant information

See Norwalk, CA salary details

$53.7K

$122K

$201.2K

How much do remote algorithmic trading quant jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote algorithmic trading quant in Norwalk, CA is $121,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,400.00 and $156,100.00 per year, depending on experience, location, and employer.

What is a remote algorithmic trading quant?

A Remote Algorithmic Trading Quant is a quantitative analyst who develops, tests, and implements mathematical models and trading algorithms for financial markets while working off-site or from home. They analyze large datasets, identify trading opportunities, and use programming languages like Python or C++ to automate trading strategies. Their work is vital for firms seeking to gain a competitive edge through data-driven, automated trading, and being remote allows them to collaborate with global teams or firms without being physically present in a traditional office setting.

What are the key skills and qualifications needed to thrive as a remote algorithmic trading quant?

To thrive as a Remote Algorithmic Trading Quant, you need advanced quantitative skills, strong programming ability (often in Python, C++, or R), and a solid background in mathematics, statistics, or related fields—typically supported by a relevant degree. Familiarity with trading platforms, financial data feeds, and version control systems, as well as experience with backtesting frameworks, is highly valued. Exceptional problem-solving, attention to detail, and effective remote communication are crucial soft skills for success in this position. These skills and qualities enable the development, testing, and deployment of robust trading strategies in a fast-paced, data-driven environment.

What are some common challenges faced by remote algorithmic trading quants, and how can they be addressed?

Remote algorithmic trading quants often face challenges such as ensuring robust communication with team members, maintaining access to secure and reliable data feeds, and collaborating effectively across time zones. To address these, quants typically use advanced collaboration tools, participate in regular virtual meetings, and follow strict cybersecurity protocols. Building strong documentation and leveraging version-control systems like Git can also help maintain workflow efficiency and code integrity while working remotely.

What is the difference between Remote Algorithmic Trading Quant vs Remote Quantitative Analyst?

AspectRemote Algorithmic Trading QuantRemote Quantitative Analyst
CredentialsDegree in finance, computer science, or mathematics; coding skills; experience with trading algorithmsDegree in finance, economics, mathematics; statistical and analytical skills; programming knowledge
Work EnvironmentFinancial firms, hedge funds, trading firms; focus on developing and testing trading algorithmsFinancial institutions, investment firms; focus on data analysis, modeling, and risk assessment
Industry UsageCommon in trading and hedge fund industriesWidespread across finance, banking, and investment sectors

The Remote Algorithmic Trading Quant specializes in developing and implementing trading algorithms within trading firms, focusing on automation and execution strategies. In contrast, the Remote Quantitative Analyst often performs broader data analysis and modeling tasks across various financial sectors. While both roles require strong quantitative skills and programming knowledge, their primary focus and work environments differ, aligning with their specific industry functions.

What cities near Norwalk, CA are hiring for Remote Algorithmic Trading Quant jobs?

Cities near Norwalk, CA with the most Remote Algorithmic Trading Quant job openings:

Infographic showing various Remote Algorithmic Trading Quant job openings in Norwalk, CA as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $121,993 per year, or $58.7 per hour.

Data Analyst - Product & Marketing (REMOTE)

The League

Los Angeles, CA • On-site, Remote

Full-time

Re-posted 7 days ago


Job description

Company Description
The League is a social dating app startup backed by IDG Ventures, xSeed Capital, Cowboy Ventures, Structure Capital, Sherpa Ventures, and many notable angels. The Founder is a Stanford MBA (ex-Google, ex-Salesforce) with a strong product sense (engineering degree from Carnegie Mellon) and a fierce determination to change the dating space for the better. The League is live in 150 cities, brings in healthy revenue each month, and leads the pack in it's innovative feature set that includes live video speed dating.
Job Description
The data analyst role is part of the analytics team, will report to the Head of Data Science. S/he will be responsible for performing deep-dive analysis to understand and optimize key levers of our product's marketing funnel: acquisition, activation, engagement, and retention. Additionally, s/he will be responsible for designing core metrics that serve as North Stars for team efforts and OKRs. A successful candidate in this role has the opportunity to contribute to creating a foundation of analytical excellence at the League and promoting a culture of data-driven decision making. The ideal candidate has excellent communication skills, a robust knowledge of SQL, and experience using programming languages such as python/R to automate their analyses and analytical work.
Responsibilities:
  • Directly own the creation of key company metrics used to track aggregate company OKR performance
  • Conduct quarterly prioritized analysis projects targeted at revenue and user growth
  • Conduct ad-hoc analyses as defined by cross-functional partners and prioritized weekly
  • Manage and maintain dashboards in Periscope that relate operational performance across company departments and track key company metrics
  • Work with product managers and engineers to design data products and run A/B experiments
  • Work directly with product and business stakeholders to translate the questions and hypotheses into structured analysis.
  • Own data analysis and visualization, and communicate the outcomes/insights to various partners (marketing, data, product, eng) to aid strategic decisions for improvements in experience for our users and help create potential feature + experimentation candidates.
  • Apply statistics, modeling and machine learning techniques to improve efficiency and relevance of The League's matching algorithm
  • Work towards creating a data-driven culture at The League
  • Understand what matters most and prioritize ruthlessly

Qualifications
  • Bachelors' in CS, Engineering, Physics, Math, Statistics, Business, Economics or related field
  • Fluency in SQL, as well as a deep understanding of statistical analysis, experiment design, and common pitfalls of data analysis
  • Expertise in at least one programming language useful for statistical analysis (e.g. python/R)
  • Strong communicator: You effectively synthesize, visualize, and communicate your ideas to others
  • You are a critical thinker: You are thoughtful, self-aware, and use available evidence to make decisions
  • You can lead initiatives across multiple product areas while communicating findings with leadership and product teams

Nice to haves:
  • Prior experience in Gaming or Dating industry
  • Knowledgeable about the machine learning trade-offs and model evaluation

Additional Information
All your information will be kept confidential according to EEO guidelines.
TO APPLY
  • Submit your resume to jobs [at] theleague.com with the job position title as the subject line

COMPENSATION
  • Competitive/above average for the industry