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Algorithmic Trading Analyst Jobs in New York (NOW HIRING)

About Wintermute Wintermute is a technology unicorn and one of the largest algorithmic trading ... Our trading approach is deeply rooted in technology - our traders are analytical, programmatic ...

In this role, you will take a lead in developing greenfield algorithmic trading systems, shaping ... Knowledge of tick data analytics and real-time market data processing. * Familiarity with cloud ...

DeFi Algorithmic Trader

Manhattan, NY · On-site

$80 - $120/hr

About Wintermute Wintermute is a technology unicorn and one of the largest algorithmic trading ... Our trading approach is deeply rooted in technology - our traders are analytical, programmatic ...

DeFi Algorithmic Trader

Manhattan, NY · On-site

$120 - $180/hr

About Wintermute Wintermute is a technology unicorn and one of the largest algorithmic trading ... Our trading approach is deeply rooted in technology - our traders are analytical, programmatic ...

New

The ideal candidate will play a key role in enhancing algorithmic trading and real-time trading ... Analyze business processes within Global Securities Financing and Equities to identify ...

The candidate will work with large trading and market datasets to build analytical tools and systematically translate findings into improvements in execution strategy, algorithm selection and ...

Algo Java Developer

Manhattan, NY · On-site

$56.25 - $72.75/hr

The Cash Equities Algorithmic Trading Technology team runs the execution stack from client FIX ... You will handle all phases of development (requirements gathering/analysis through to ...

We are seeking a highly skilled and experienced Algorithmic Trading Developer to join our Equities ... Resolve complex technical challenges through in-depth analysis of business requirements, system ...

About Wintermute Wintermute is a technology unicorn and one of the largest algorithmic trading ... Our trading approach is deeply rooted in technology - our traders are analytical, programmatic ...

Showing results 41-60

Algorithmic Trading Analyst information

What is an algorithmic trading analyst?

An Algorithmic Trading Analyst is a finance professional who designs, develops, and tests automated trading strategies using mathematical models and computer algorithms. They analyze market data, identify patterns, and create systems that can execute trades at optimal times and prices without human intervention. Their work involves programming, data analysis, and a deep understanding of financial markets. These analysts often collaborate with traders, quants, and software engineers to improve trading performance and manage risks.

What are the key skills and qualifications needed to thrive as an algorithmic trading analyst?

To thrive as an Algorithmic Trading Analyst, you need a solid background in quantitative analysis, programming skills (often in Python, C++, or Java), and a degree in finance, mathematics, statistics, or a related field. Familiarity with trading platforms, market data feeds, backtesting frameworks, and certifications such as CFA or FRM can be highly beneficial. Exceptional problem-solving abilities, attention to detail, and strong communication skills help analysts adapt strategies and collaborate with trading teams. These skills are crucial for developing robust trading algorithms, minimizing risk, and capitalizing on market opportunities in a fast-paced environment.

What are some of the main challenges faced by algorithmic trading analysts in their daily work?

Algorithmic Trading Analysts often encounter challenges such as adapting to rapidly changing market conditions and ensuring that trading algorithms remain robust and effective. They must vigilantly monitor algorithm performance, quickly troubleshoot issues, and fine-tune models to minimize risk and maximize returns. Additionally, collaborating with software developers, traders, and risk managers is essential to implement updates and maintain compliance with regulatory standards. Staying current with the latest financial technologies and market trends is also crucial for long-term success in this dynamic field.

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

AspectAlgorithmic Trading AnalystQuantitative Analyst
Required CredentialsBachelor's in finance, computer science, or related field; often certifications like CFA or CQFDegree in mathematics, statistics, or finance; advanced certifications like CFA or FRM common
Work EnvironmentFinancial firms, hedge funds, trading desks; focus on developing and implementing trading algorithmsInvestment banks, asset management firms; focus on modeling and data analysis for investment strategies
Employer & Industry UsagePrimarily in trading and hedge fund industriesBroader across finance, risk management, and research roles

While both roles require strong quantitative skills and familiarity with financial markets, Algorithmic Trading Analysts focus on developing and deploying trading algorithms, whereas Quantitative Analysts often work on broader financial modeling and risk assessment. The roles overlap in skills and certifications but differ in daily tasks and primary objectives.

What are popular job titles related to Algorithmic Trading Analyst jobs in New York?

For Algorithmic Trading Analyst jobs in New York, the most frequently searched job titles are:

What job categories do people searching Algorithmic Trading Analyst jobs in New York look for?

The top searched job categories for Algorithmic Trading Analyst jobs in New York are:

What cities in New York are hiring for Algorithmic Trading Analyst jobs?

Cities in New York with the most Algorithmic Trading Analyst job openings:

Infographic showing various Algorithmic Trading Analyst job openings in New York as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution.

DeFi Algorithmic Trader

Wintermute

New York, NY • On-site

Full-time

Re-posted 9 days ago


Job description

About Wintermute
Wintermute is a technology unicorn and one of the largest algorithmic trading companies, specialising in digital assets. We provide liquidity across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as supporting high profile blockchain projects and traditional financial institutions moving into crypto. Wintermute also has a Wintermute Ventures arm that invests in early stage DeFi projects.
Wintermute was founded in 2017 and has successfully navigated industry cycles. Culturally, we combine the best of the two worlds: the technology standards of high-frequency trading firms in traditional markets and the innovative and entrepreneurial culture of technology startups. At Wintermute, we believe in the innovative potential of blockchain, the fundamental innovations, we have a long-term view on the digital asset market and are taking a leadership position in building an innovative and compliant market. You can read more here.
Working in the DeFi Team
We're looking for a motivated and curious individual to join our DeFi team full-time. In this role, you'll research on-chain protocols and run data-driven experiments to help advance our understanding of decentralized finance.
Our trading approach is deeply rooted in technology - our traders are analytical, programmatic problem solvers who thrive on innovation. In keeping with the builder ethos of the DeFi space, this role will give you the opportunity to wear many hats. You'll likely work across multiple codebases and languages, exploring the frontiers of the ecosystem's design space.
We are a tight-knit, collaborative team that values open dialogue and creative exploration. You'll work closely with experienced traders and developers, receiving mentorship while being encouraged to form your own perspectives, challenge ideas, and pursue new areas of inquiry together.
Requirements:
  • Proficiency in programming with at least one of Rust or Python.
  • Comfortable working on Linux environments and Git version control.
  • Experience with programmatic statistical analysis and quantitative / analytic skills.
  • High level understanding of high-frequency market making strategies.
  • Understanding of blockchain fundamentals and mechanics of the EVM.
  • Familiarity with smart contract development and the Foundry toolkit.
  • A passion for learning about protocol microstructure and design mechanisms.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.