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Remote Algorithmic Trading Quant Jobs in Ridgewood, NJ

Vola Dynamics LLC

Quant Researcher

Manhattan, NY · On-site +1

... trading firms, market makers, and global banks. In this role, you will research cutting-edge ... You have a proven track record of academic or professional research that used numerical algorithms ...

G-20 Group

Options Trader (US Hours)

New York, NY · On-site +1

About G-20 The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets ... and improve trading algorithms and strategies. * Stay up-to-date on market trends, news, and ...

Belvedere Trading

Software Engineer

New York, NY · On-site +1

$140K - $155K/yr

Our teams specialize in Market Making and Quantitative Trading in Equity & ETF Options, ETFs ... We have teams based in New York, Chicago and remote locations that utilize both internal and ...

Framework Ventures

Execution Trader

Manhattan, NY · On-site +1

... Globally Remote Ethena Labs - Trading Ethena Labs is at the forefront of the next wave of DeFi ... Execute trades efficiently using in house proprietary algorithms, adhering to strict risk ...

T3 Global

Derivatives Trader

Manhattan, NY · On-site +1

Derivatives 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

See Ridgewood, NJ salary details

$53.1K

$120.6K

$198.8K

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

As of Jun 4, 2026, the average yearly pay for remote algorithmic trading quant in Ridgewood, NJ is $120,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,400.00 and $154,300.00 per year, depending on experience, location, and employer.

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 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.

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What cities near Ridgewood, NJ are hiring for Remote Algorithmic Trading Quant jobs? Cities near Ridgewood, NJ with the most Remote Algorithmic Trading Quant job openings:
Remote Algorithmic Trading Quant jobs near you

Quantitative Trader, High Frequency Cash Equities

Radley James

Manhattan, NY • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Quantitative Trader, High Frequency Cash Equities This opportunity is working for a medium sized high frequency quantitative trading firm based in the San Francisco Bay Area, but have offices in New York and Chicago. This role can be fully remote from anywhere in the US. Due to the success of this year, this firm is keen to expand a number of their high frequency Quant Trading groups.

The products of interest are cash equities and futures across various products. These trading teams are kept small and elite with seasoned front office technologists ready to assist with whatever is required. The CTO is one of the co-founders of the firm, so attention to high performance trading software is certainly there.

Requirements: At least 2 years of quantitative research/trading for a successful business, ideally prop trading. PnL track record for the past year at least seven figures to attract interest. Ability in technologies such as Python, R, Matlab.

Seniority level Mid-Senior level Employment type Full-time Job function Research and Finance Industries: Financial Services and Investment Management Referrals increase your chances of interviewing at Radley James by 2x. #J-18808-Ljbffr

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