ZipRecruiter

Log In

2

Remote Quantitative Trading Intern Jobs in Butler, NJ

Old Mission

Senior Python Software Engineer

New York, NY · 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 ...

BHFT

Senior Quantitative Equity Trader

New York, NY · On-site +1

Our team manages the full trading cycle, from software development to creating and coding ... Although we maintain office spaces, we currently operate as a 100% remote organization. At BHFT ...

IIRR

MEL Officer - Intern

New York, NY · On-site +1

$16.50 - $22/hr

... quantitative and qualitative information. MEL Officer interns will work under the direction of the ... a remote working environment * Passionate about making a positive difference Application ...

Turing

Remote Finance Expert

Manhattan, NY · Remote

$200 - $300/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 ...

New

Easy Recruiter

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 ...

Turing

Remote Finance & Research Analyst

Manhattan, NY · Remote

$200 - $300/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 ...

New

Gelber Group

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 ...

Wintermute

DeFi Algorithmic Trader

New York, NY · On-site +1

We provide liquidity across most cryptocurrency exchanges and trading platforms, a broad range of ... Experience with programmatic statistical analysis and quantitative / analytic skills. * High level ...

Gauntlet

Technical Recruiter

New York, NY · On-site +1

Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage ... We operate with a trader's discipline and a risk manager's skepticism: size carefully, stress ...

Keyrock

Head of Engineering - Options

New York, NY · Remote

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... Partner closely with trading, quant, product, risk, and infrastructure stakeholders * Balance ...

Keyrock

Engineering Lead- Options

New York, NY · On-site +1

$112K - $147K/yr

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... Partner closely with trading, quant, product, risk, and infrastructure stakeholders * Balance ...

Keyrock

Engineering Lead- Options

New York, NY · Remote

$104K - $138K/yr

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... Partner closely with trading, quant, product, risk, and infrastructure stakeholders * Balance ...

Keyrock

Head of Engineering - Options

New York, NY · On-site +1

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... Partner closely with trading, quant, product, risk, and infrastructure stakeholders * Balance ...

Old Mission

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 ...

next page

Showing results 1-20

All JobsQuantitative Trading Intern JobsRemote Quantitative Trading Intern JobsRemote Quantitative Trading Intern Jobs in Butler, NJ

Remote Quantitative Trading Intern information

What is a remote quantitative trading intern?

Remote Quantitative Trading Interns are students or early-career professionals who work with trading firms or financial institutions from a remote location. Their main responsibilities involve analyzing market data, developing trading algorithms, and supporting the trading team with quantitative research. They use statistical and programming skills—often in languages like Python or R—to help identify trading opportunities and optimize strategies, all while collaborating virtually with mentors and team members. This role provides valuable exposure to real-world trading environments without the need to be physically present in an office.

What are the typical projects and responsibilities of a remote quantitative trading intern?

As a Remote Quantitative Trading Intern, you'll often work on tasks such as analyzing large market datasets, backtesting trading strategies, and developing statistical models to identify trading opportunities. You'll collaborate with experienced traders and quantitative analysts, contributing directly to research and strategy development. This role requires strong communication skills to effectively present your findings and integrate feedback, as well as adaptability to a fast-paced, data-driven environment. Your work will have a real impact on the team's decision-making process and can provide a solid foundation for a career in quantitative finance.

What are the key skills and qualifications needed to thrive as a remote quantitative trading intern?

To thrive as a Remote Quantitative Trading Intern, you need strong quantitative analysis skills, proficiency in mathematics and statistics, and familiarity with financial markets, typically supported by coursework in finance, economics, or related fields. Experience with programming languages such as Python, MATLAB, or R, and familiarity with trading platforms and data analysis tools are highly valued. Excellent problem-solving abilities, attention to detail, and effective communication set top candidates apart, especially in remote settings. These skills and qualities are crucial to effectively analyze market data, develop trading strategies, and collaborate with team members for successful outcomes.

What is the difference between Remote Quantitative Trading Intern vs Remote Quantitative Analyst?

AspectRemote Quantitative Trading InternRemote Quantitative Analyst
CredentialsTypically pursuing or recent graduate in math, finance, or related fieldsUsually holds a degree in finance, mathematics, or statistics; often with some professional experience
Work EnvironmentInternship, often part-time or seasonal, within trading firms or hedge fundsFull-time role, often within financial institutions or hedge funds
ResponsibilitiesAssisting in data analysis, model testing, and research under supervisionDeveloping trading models, analyzing market data, and optimizing strategies

The main difference between a Remote Quantitative Trading Intern and a Remote Quantitative Analyst lies in experience, responsibilities, and career stage. Interns are typically students or recent graduates gaining entry-level experience, while analysts are more experienced professionals responsible for developing and implementing trading strategies.

What cities near Butler, NJ are hiring for Remote Quantitative Trading Intern jobs?

Cities near Butler, NJ with the most Remote Quantitative Trading Intern job openings:

Remote Quantitative Trading Intern jobs near you

Gauntlet - Quantitative Software Engineer

De Circle

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 6 days ago

Job description

Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research. As of April 2025, Gauntlet manages risk and incentives covering over $42 billion in customer TVL.
Gauntlet continually publishes cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institution - including academic institutions - in terms of peer-reviewed papers addressing DeFi as a subject. We're a Series B company with around 75 employees, operating remote-first with a home base in New York City.
Our mission is to drive adoption and understanding in the financial systems of the future. The unique challenges of decentralized systems call for innovative approaches in mechanism design, smart contract development, and financial product utilization. Gauntlet leads in advancing this knowledge, ensuring safe progression through the evolving landscape of financial innovation.
We are seeking highly skilled and motivated Quantitative Software Engineers to join our team. The ideal candidate possesses strong statistical and engineering skills, a passion for problem-solving, and the ability to work effectively in a fast-paced and collaborative environment.
Responsibilities:
  • Designing and implementing strategies for managing risk and optimizing DeFi protocols using quantitative models, simulations, and machine learning.
  • Develop tools and engines for parameter recommendations and drive impact to protocols.
  • Own the whole lifecycle of protocol integrations, including building data pipelines, working closely with cross-functional teams to define the data requirements and product offering.
  • Architect and refine data models and structures to support the evolving needs of DeFi analytics, simulations, methodologies and research development.
  • Contribute to making our core modeling platform world-class.
  • Maintain up-to-date knowledge of the latest industry trends, technologies, and techniques in software engineering.
  • Optimize Aera guardian logic to improve risk-adjusted yields, trade execution quality, and capital efficiency of strategies such as Protocol-Owned Liquidity for Aera Vaults.
  • Collaborate with other cross-functional teams, including internal and external teams
  • Stay current with the latest industry trends, market risk vectors, and market conditions to ensure that Aera strategies stay on the cutting edge of crypto and DeFi innovation.

Bonus Points:
  • Contribute to the forefront of DeFi economic understanding and optimization.
  • Work on projects that value deep research, quality, and practical outcomes.
  • Collaborate with a team committed to defining future financial systems.
  • Master's or Ph.D. in Quantitative fields like Mathematics, Economics, Computer Science, Physics, or similar fields is a plus.

Benefits and Perks
  • Remote first - work from anywhere in the US & CAN!
  • Competitive packages with the added opportunity for incentive-based compensation
  • Regular in-person company retreats and cross-country "office visit" perk
  • 100% paid medical, dental and vision premiums for employees
  • Laptop provided
  • $1,000 WFH stipend upon joining
  • $100 per month reimbursement for fitness-related expenses
  • Monthly reimbursement for home internet, phone, and cellular data
  • Unlimited vacation policy
  • 100% paid parental leave of 12 weeks
  • Fertility benefits

Qualifications
  • Minimum 4 years of direct hands-on experience trading or analyzing financial markets (crypto or traditional) professionally.
  • Experience developing statistical or quantitative models for financial markets.
  • Understanding of blockchain and DeFi protocols, concepts, and best practices (or a strong desire to learn).
  • Proficient at writing code in Python and SQL with a solid understanding of software engineering principles.
  • Knowledge of workflow orchestration (e.g., Dagster, Airflow) and distributed data processing technologies (Spark).
  • Excellent understanding of statistical modeling, machine learning, and optimization algorithms.
  • Experience with scientific computing packages such as Numpy/Scipy, Pandas, etc.
  • Ability to quickly internalize abstract concepts in new domains, coupled with strong problem-solving skills and attention to detail.
  • Ability to work independently and within a team, manage multiple projects, and meet deadlines.
  • Strong communication skills and the ability to work collaboratively in a distributed team environment.

Apply