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Remote Algorithmic Trading Quant Jobs in Warren, NJ

Data Scientist

New York, NY Β· Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... algorithms from scratch. You have an advanced degree in a quantitative field, such as computer ...

Senior Python Software Engineer

New York, NY Β· On-site +1

$150K - $250K/yr

Additionally, you'll collaborate closely with quants, traders, and research teams to bolster our ... In office M-F with 10 remote days per year Base Salary Range $150,000 - $250,000 - Salaries are ...

Oversee the development and management of products related to trading algorithms, user interfaces ... Strong analytical and quantitative skills, with the ability to translate business needs into ...

Oversee the development and management of products related to trading algorithms, user interfaces ... Strong analytical and quantitative skills, with the ability to translate business needs into ...

Senior Machine Learning Engineer (Remote)

New York, NY Β· On-site +1

$114K - $157K/yr

Design, research and develop state-of-the-art machine learning applications and algorithms to ... A postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative ...

... Flow Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms. We're looking ... We accommodate 100% remote work, with teammates living around the globe and paid in their local ...

A Fortune 60 Healthcare Company Humana is a publicly traded, Fortune 60 health benefits company ... Remote, with majority of work conducted on Eastern Time Work at Home Requirements: To ensure Home ...

Showing results 41-60

Remote Algorithmic Trading Quant information

See Warren, NJ salary details

$54.5K

$123.8K

$204.1K

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

As of Sep 14, 2026, the average yearly pay for remote algorithmic trading quant in Warren, NJ is $123,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $158,400.00 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 fieldsβ€”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 job categories do people searching Remote Algorithmic Trading Quant jobs in Warren, NJ look for?

The top searched job categories for Remote Algorithmic Trading Quant jobs in Warren, NJ are:

What cities near Warren, NJ are hiring for Remote Algorithmic Trading Quant jobs?

Cities near Warren, NJ with the most Remote Algorithmic Trading Quant job openings:

Infographic showing various Remote Algorithmic Trading Quant job openings in Warren, NJ as of September 2026, with employment types broken down into 83% Full Time, 9% Part Time, 3% Temporary, 4% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $123,753 per year, or $59.5 per hour.

Paxos Labs - Smart Contract Engineer

New York, NY β€’ On-site, Remote

Full-time

Re-posted 9 hours ago


Job description

Who We Are
Paxos Labs builds enterprise infrastructure that powers the next generation of trusted onchain financial products. We work with the largest financial enterprises in the world to build transparent and verifiable onchain infrastructure that works for end users and everyday financial use cases. If you believe in bringing DeFi and digital assets to the mainstream, consider building your career at Paxos Labs
Role Overview
We're hiring a DeFi Backend Engineer to help scale Paxos Labs's DeFi infrastructure capabilities. The team builds DeFi infrastructure that reimagines on-chain liquidity strategies, delegating strategy and risk management to sophisticated offchain compute while maintaining strong onchain safety constraints.
Responsibilities
- Collaborate with a Quantitative Researcher to manage yield-generating portfolios across protocols and blockchains.
- Design and backtest algorithms to produce actionable DeFi portfolio insights.
- Automate complex onchain interactions via offchain services.
- Monitor data, forecast risk, and implement optimized entry and exit triggers.
- Maintain secure, reliable trading infrastructure.
- Build solvers for optimal routing across decentralized exchanges.
Why Join Paxos Labs
You will help build the future of enterprise crypto infrastructure, work on impactful global financial systems, grow in a fast-evolving industry, receive competitive compensation, and collaborate with a dynamic, high-performing team.
DeFi Expertise
- Deep knowledge of DeFi protocols including liquid staking, AMMs, lending protocols, perp DEXs, and RFQs/routers.
Data & Risk
- Strong data engineering skills analyzing smart contract events and onchain history.
- Understanding of financial risk management, statistics, and portfolio optimization.
- Experience managing trading or yield strategies onchain or in traditional finance.
Infrastructure & Engineering
- Experience building performant offchain infrastructure using EVM RPCs and related tooling.
- Strong database knowledge (SQL, Postgres, Supabase).
- DevOps experience with Docker, Kubernetes, and cloud tooling.
- Familiarity with Solidity, Foundry, and MEV or order-flow systems.