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Remote Algorithmic Trading Quant Jobs in California

Remote Finance Analyst

San Francisco, CA · On-site +1

$100 - $200/hr

... trading, quant, investment banking, private equity, corporate finance, accounting, and others. If ... Fully remote and flexible work environment. * Competitive hourly compensation of ~$100+/hour ...

Control Room Manager

Berkeley, CA · On-site +1

$160K - $190K/yr

... quantitative trading strategies. Reporting to the Global Chief Compliance Officer, you will build ... Build out a suite of monitoring reports that actively reviews algorithmic trading for anomalies and ...

We accommodate 100% remote work, with teammates living around the globe and paid in their local ... Experience with quant trading and market microstructure. * Extreme attention to detail and record ...

Location: Fully remote anywhere in the United States. Employment Type: 6 month contract with ... Select appropriate algorithms based on problem framing, data characteristics, and business ...

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Remote Algorithmic Trading Quant information

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 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 are the key skills and qualifications needed to thrive as a Remote Algorithmic Trading Quant, and why are they important?

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 are the most commonly searched types of Algorithmic Trading Quant jobs in California? The most popular types of Algorithmic Trading Quant jobs in California are:
What are popular job titles related to Remote Algorithmic Trading Quant jobs in California? For Remote Algorithmic Trading Quant jobs in California, the most frequently searched job titles are:
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What cities in California are hiring for Remote Algorithmic Trading Quant jobs? Cities in California with the most Remote Algorithmic Trading Quant job openings:
Remote Finance Analyst

Remote Finance Analyst

Turing

San Francisco, CA • On-site, Remote

$100 - $200/hr

Contractor

Posted 12 days ago


Job description

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role overview:
Turing is looking for Experts in finance to work with our researchers to improve the performance of AI models. We are looking for experts across a range of topics including capital markets, portfolio management, research, trading, quant, investment banking, private equity, corporate finance, accounting, and others. If you enjoy solving complex problems in finance and are interested in working with AI systems, please apply. No prior AI experience is required.
What does day-to-day look like:
  • Evaluate LLM models for areas of finance where models do not perform well.
  • Create rubrics to assess model capabilities on specific areas of your finance expertise (such as deal analysis, M&A assessments, and more).
  • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.

Requirements:
  • 2+ years experience in Capital Markets, Portfolio Management, Research, Trading, Quant, Investment Banking, Private Equity, Venture Capital, Growth Equity, FP&A, Accounting, or Financial Consulting.
  • Strong grasp of financial concepts (investment analysis, research, forecasting, revenue builds, corporate finance, asset management, risk management, etc.) based on your domain of expertise.
  • Excellent English written communication.

Bonuses (not at all necessary):
  • CFA (Level I/II/III) or CA/CPA/MBA in Finance.

Perks of freelancing with Turing:
  • Work on the cutting edge of AI and finance.
  • Fully remote and flexible work environment.
  • Competitive hourly compensation of ~$100+/hour depending on experience.

Offer Details:
  • Commitment: Flexible, 10–30 hrs/week.
  • Duration: ~1 month, with the possibility of extension based on performance and project needs.

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.