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Freelance Algorithmic Trading Programmer Jobs in New York

Precharm

Founding Engineer

Manhattan, NY · On-site

Precharm is an algorithmic trading firm that provides liquidity on prediction markets. They are seeking a founding engineer to build critical systems for their trading business, including exchange ...

Alpaca

Senior Software Engineer - Trading

New York, NY · On-site +1

$134K - $176K/yr

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals ... Knowledge of algorithms, distributed systems, scalability, high availability, databases, low ...

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Freelance Algorithmic Trading Programmer information

What are some typical challenges freelance algorithmic trading programmers face when working with clients?

Freelance algorithmic trading programmers often encounter challenges such as aligning with clients' diverse strategies, accommodating rapid changes in trading requirements, and ensuring robust backtesting for different market conditions. Effective communication is key, as clients may have varying levels of technical understanding and expectations regarding performance and risk management. Additionally, freelancers must stay updated on compliance standards and platform-specific APIs, which can differ significantly between projects.

What are the key skills and qualifications needed to thrive as a freelance algorithmic trading programmer, and why are they important?

To thrive as a Freelance Algorithmic Trading Programmer, you need strong programming skills (often in Python, C++, or Java), a solid understanding of financial markets, and experience with quantitative analysis. Familiarity with trading platforms (like MetaTrader, NinjaTrader, or Interactive Brokers API), backtesting frameworks, and relevant certifications such as CFA or CQF can be highly valuable. Outstanding problem-solving, attention to detail, and effective communication with clients set top performers apart. These skills are crucial for building reliable, profitable trading algorithms and translating complex financial requirements into robust, real-world solutions.

What is the difference between Freelance Algorithmic Trading Programmer vs Quantitative Analyst?

AspectFreelance Algorithmic Trading ProgrammerQuantitative Analyst
CredentialsProgramming skills, trading platform knowledge, sometimes certifications like CQFAdvanced degrees in finance, mathematics, or statistics, certifications like CFA or FRM
Work EnvironmentIndependent, remote, project-basedIn-house or consulting, often office-based
Industry UsageDevelops trading algorithms for clients or personal tradingAnalyzes financial data to inform trading strategies and risk management

While both roles involve quantitative skills and financial markets, Freelance Algorithmic Trading Programmers focus on coding and developing trading algorithms independently, whereas Quantitative Analysts analyze data to support trading decisions within organizations.

What is a freelance algorithmic trading programmer?

A Freelance Algorithmic Trading Programmer is a professional who designs, develops, and implements trading algorithms for financial markets on a contract or project basis. They use programming languages like Python, C++, or Java to create automated systems that can execute trades based on predefined strategies without human intervention. These programmers often collaborate with traders, investment firms, or hedge funds to build, backtest, and optimize trading algorithms that aim to maximize profits and minimize risks. Working independently, they may also advise clients on best practices, maintain trading infrastructure, and ensure compliance with relevant financial regulations.
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Freelance Algorithmic Trading Programmer jobs near you

Quantitative Trading & Research - Rates - Quantitative Developer - Vice President

JPMorganChase

Manhattan, NY • On-site

Full-time

Re-posted 23 days ago

Job description

Job Summary:
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to various clients. As a Quantitative Developer, you will design and deliver production systems for systematic trading in global Rates markets, collaborating closely with researchers and traders to enhance trading capabilities.
Responsibilities:
• Design, build and maintain algorithmic trading systems and execution platforms for systematic Rates trading
• Implement quantitative models in production, translating research prototypes into robust, scalable strategies
• Collaborate with traders and researchers to refine models, quoting, hedging, risk management and allocation processes
• Engineer high-quality, testable and observable code for reliability in live markets
• Optimise performance, latency and throughput of critical trading components
• Automate workflows and deployments to improve speed, safety and repeatability across the stack
• Monitor, diagnose and resolve production issues, contributing to continuous improvement
• Document designs, interfaces and operating procedures to support transparency and knowledge sharing
Qualifications:
Required:
• Proficiency in programming with Java, C++ or another object-oriented language
• Experience performing data analysis in Python, including proficiency with data science libraries (e.g., NumPy, pandas) and visualisation tools
• Ability to translate quantitative models into reliable, maintainable production code
• Effective interpersonal and communication skills; ability to collaborate with traders, quantitative researchers and software engineers
• High attention to detail and a commitment to quality in fast-paced environments
• Interest in financial markets and systematic trading
• Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering or another quantitative field
Preferred:
• Knowledge of Fixed Income and Rates markets
• Experience with high-frequency, algorithmic or electronic trading, including low-latency and performance-sensitive systems
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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