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Freelance Algorithmic Trading Software Developer Jobs in New York

Team 653 INT

software developer

New York, NY · On-site

Software Engineer Results-driven Software Engineer with experience in designing, developing ... and algorithms. Experienced in building scalable web applications, developing RESTful APIs ...

Alpaca

Senior Software Engineer

New York, NY · On-site +1

$134K - $176K/yr

You must have previous software engineering experience with trading or exchange systems (OMS, EMS, exchanges, market making, algorithmic trading, quant trading). Who You Are (Must-Haves): * Strong ...

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Freelance Algorithmic Trading Software Developer information

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

AspectFreelance Algorithmic Trading Software DeveloperQuantitative Analyst
CredentialsProgramming skills, trading platform knowledge, possibly certifications like CQFMathematics, statistics, finance degrees, certifications like CFA
Work EnvironmentIndependent, remote, project-basedOffice-based, team-oriented, financial institutions
Industry UsageDevelops trading algorithms for clients or own tradingAnalyzes financial data to inform trading strategies

While both roles involve quantitative skills and financial markets, Freelance Algorithmic Trading Software Developers focus on building and implementing trading algorithms independently, often working remotely. Quantitative Analysts typically analyze data within financial firms to develop trading strategies, often working in team environments. The roles overlap in technical skills but differ in scope and work setting.

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Freelance Algorithmic Trading Software Developer jobs near you

Quantitative Developer (C++) - Central Liquidity Strategies

Millennium

Manhattan, NY • On-site

$54 - $72.75/hr

Full-time

Re-posted 15 days ago

Job description

Job Summary:
Millennium is seeking a Quantitative Developer to join their central trading team, focusing on designing and implementing low latency C++ systems for algorithmic trading. The role involves building a high-performance framework for trading and optimizing execution performance through collaboration with quantitative research and trading teams.
Responsibilities:
• Build out the C++ low-latency framework for algorithmic trading.
• Work directly with quantitative research to optimize the firm’s overall execution performance.
• Development of execution algorithms, order management systems, strategy containers, market data handlers, and trading interfaces.
• Enhance the platform's efficiency by utilizing network and systems programming, along with other advanced techniques to reduce latency.
• Create systems, interfaces, and tools for historical market data and trading simulations to boost research productivity and system testability.
• Assist in building and maintaining our automated tests, performance benchmark framework, and other tools
• Collaborate closely with trading teams to gather requirements and develop solutions in a fast-paced environment
Qualifications:
Required:
• 5+ years of professional experience in a front-office, financial services environment as a senior contributor
• 10+ years cumulative, professional experience
• A degree in computer science or a related field
• Strong background in data structures, algorithms, and object-oriented programming in C++
• Proficiency with new features of C++17/C++20/C++23
• Proficiency with multithreading and asynchronous environments
• Strong understanding of low-latency and real-time system design and implementation
• Strong understanding of Linux system internals and networking
• Strong financial experience across multiple asset classes, with a focus on real-time low-latency trading systems for equities and futures
Preferred:
• Familiarity with python for quantitative research and data-oriented processing
• Familiarity with analysis of execution algorithm performance
Company:
Millennium is a global, diversified alternative investment firm, founded in 1989, which manages $92 billion in assets. Founded in 1989, the company is headquartered in New York, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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