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Remote Algorithmic Trading Quant Jobs in Ridgewood, NJ

Company Description BHFT is a proprietary algorithmic trading firm. Our team manages the full ... Although we maintain office spaces, we currently operate as a 100% remote organization. At BHFT ...

Company Description BHFT is a proprietary algorithmic trading firm. Our team manages the full ... Although we maintain office spaces, we currently operate as a 100% remote organization. At BHFT ...

Senior Trading Specialist

New York, NY · On-site +1

$109K - $145K/yr

... performance using quantitative and statistical analysis techniques. Develop and implement ... algorithms, optimization logic, and automated decision systems, using performance data modelling ...

Strong grasp of market dynamics, execution algorithms, risk management, and trading strategies ... Fully remote and flexible work environment. * Competitive hourly compensation of ~$100+/hour ...

C++ Software Engineer

New York, NY · On-site +1

$175K - $300K/yr

... our Traders and Quants to develop the next generation of the firm's trading algorithms and ... In office Monday-Friday with 10 remote days per year Base Salary Range $175,000 - $300,000 ...

Perform other duties, as needed Qualifications: * 5+ years of experience in Quantitative Analysis ... Well versed in knowledge of creating algorithms, identifying patterns and insights from structured ...

Quantitative Risk Analysis * TradFi Trading Strategies * DeFi Trading Strategies Responsibilities ... Manage algorithm design and backtesting to produce actionable insights for DeFi portfolio ...

Remote Senior Data Analyst

New York, NY · Remote

$94K - $118K/yr

... operations and trading data needs for the firm. Remote candidates will be considered ... quantitative field -2+ years experience of financial data, reporting and accounting -First-hand ...

Experienced Energy Trader

White Plains, NY · On-site +1

$72K - $120K/yr

... remote candidates. What you'll do: * Manage your own trading book with a focus on energy markets ... Quant skills and data literacy are a plus but not required; ability to incorporate data into ...

Experienced Energy Trader

New York, NY · On-site +1

$72K - $120K/yr

... remote candidates. What you'll do: * Manage your own trading book with a focus on energy markets ... Quant skills and data literacy are a plus but not required; ability to incorporate data into ...

Showing results 21-40

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 Sep 10, 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 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 are popular job titles related to Remote Algorithmic Trading Quant jobs in Ridgewood, NJ?

For Remote Algorithmic Trading Quant jobs in Ridgewood, NJ, the most frequently searched job titles are:

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:

Gold and Precious Metals Options Trader

New York, NY • On-site, Remote

Full-time

Posted 29 days ago


Job description

About G-20 

G-20 Group is a cross-asset trading firm headquartered in Switzerland, trading delta-one and derivatives markets globally. We combine startup agility with institutional-grade experience in proprietary trading, technology, and quantitative finance.

Role Overview 

As a Gold and Precious Metals Options Trader at G-20, you will be responsible for managing and optimizing a discretionary precious metals options portfolio. You will collaborate with a team of traders, quantitative researchers, and developers to enhance pricing models, refine trading strategies, and drive superior risk-adjusted returns. This role offers a unique opportunity to contribute to G-20's continued expansion within a fast-paced and dynamic trading environment. 

Key Responsibilities 

  • Develop, implement, and refine options trading strategies across precious metals (gold, silver, platinum, and palladium). 
  • Analyze market microstructure, order flow, and volatility dynamics (including skew, term structure, and implied vs. realized volatility) to identify and capitalize on trading opportunities. 
  • Collaborate with quantitative analysts and developers to improve options pricing models, hedging algorithms, and execution tools. 
  • Maintain strong awareness of central bank policy, real yields, US dollar strength, inflation data, central bank gold reserves, and safe-haven demand dynamics that influence precious metals and volatility markets. 
  • Execute trades with precision across listed and OTC precious metals options, futures, and physical/spot markets, ensuring best execution and liquidity management. 
  • Manage portfolio Greeks (delta, gamma, vega, theta) and adjust hedges dynamically in response to changing market conditions, including around key macro data releases, central bank meetings, and geopolitical events. 
  • Contribute to the continuous enhancement of G-20's trading infrastructure, data pipelines, and analytical frameworks. 
  • Monitor portfolio performance and risk metrics, providing regular feedback on strategy effectiveness and market impact. 

Requirements

  • Degree in Finance, Mathematics, Physics, Computer Science, Engineering, or a related field from a top-tier university. 
  • Strong background in commodities/precious metals options trading with a solid understanding of options pricing theory, volatility trading, and relevant strategies. Experience in high volatility asset classes and leveraged trading is essential. 
  • Proven track record of generating consistent profits (PnL >$2m annually for more than 3 years). 
  • Experience with quantitative trading and the ability to apply data analysis to trading decisions. 
  • Exceptional analytical and problem-solving abilities, capable of making quick, data-driven decisions. 
  • Excellent communication and collaboration skills, with the ability to collaborate effectively across teams. 
  • Demonstration of a results-driven, proactive, and self-motivated approach. 

Preferred / Desirable Experience 

  • Experience in a proprietary trading, market-making, or hedge fund environment. 
  • Familiarity with automation and algorithmic execution strategies for options. 
  • Proficiency with trading and analytical tools (e.g. Python, Excel/VBA, SQL). 

Right to work: This role can be based out of our Zurich, London, New York or Hong Kong office. Only candidates who possess the pre-existing right to work in one of the locations above without company sponsorship need apply.  

Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.Â