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Remote Algorithmic Trading Quant Jobs in California

The Voleon Group

Manager - Trade Surveillance

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 ...

T3 Global

Experienced Trader

San Francisco, CA · On-site +1

Experienced Trader (Remote) Location: New York, NY; San Francisco, CA; Chicago, IL; Boston, MA ... quantitative trading, private equity, hedge funds, and other non-finance fields. We seek both ...

T3 Global

Proprietary Trader

San Francisco, CA · On-site +1

Proprietary Trader (Remote) Location: New York, NY; San Francisco, CA; Chicago, IL; Boston, MA ... quantitative trading, private equity, hedge funds, and other non-finance fields. We seek both ...

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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:
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Remote Algorithmic Trading Quant jobs near you
Software Engineer (C++/Rust)

Software Engineer (C++/Rust)

Databento

San Francisco, CA • On-site, Remote

Full-time

Posted 18 days ago

Job description

The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs.

Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms.

We're looking for a midlevel or senior IC to join our core engineering team. Our team is responsible for all things C/C++ and Rust, and the most performance-sensitive parts of our codebase. You'll be working with nearly 20 PB of data, with thousands of bare metal CPU cores at your disposal.

Responsibilities
  • Design, develop, and maintain high-performance server applications in C/C++ and Rust.
  • Write message parsers and feed handlers for direct market data feeds from trading venues.
  • Optimize existing codebase for high throughput (millions of messages per second, up to 40+ gigabits) and low latency (measured in nanoseconds).
  • Implement tools and libraries for petabyte-scale data processing and analysis.
  • Collaborate with the systems team to implement best practices for build, deployment, CI/CD.
  • Implement monitoring and improve application uptime.
  • Ensure smooth feature rollouts and updates.
Preferred background
  • 5+ years of full-time software engineering experience, preferably at a trading firm, tech company, or high-growth startup.
  • Strong proficiency in C/C++ or Rust.
  • Knowledge of systems programming, algorithms, data structures, multithreading, networked I/O, serialization, CPU architecture, kernel, and compilers.
  • Experience working with multiprocess environments.
  • Comfortable with lldb/gdb.
  • Good communication skills and work ethic for a remote workplace.
  • An interest in low-level optimization and performance engineering.
  • An interest in financial data or algorithmic trading.
Notice about phishing scams

Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent.

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Databento, Inc. provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, we comply with applicable state and local laws governing nondiscrimination in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know.

Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn't exactly match the qualifications listed, we still want to hear from you. Please apply!