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Algorithmic Trading Analyst Jobs (NOW HIRING)

Eagle Seven

Algorithmic Trader

Chicago, IL

Monitoring of trading activity and positions consistently throughout the shift * Performing research and post trade analysis using the firm's research tools on a variety of algorithmic trading ...

Eagle Seven

Algorithmic Trader

Chicago, IL · On-site

Monitoring of trading activity and positions consistently throughout the shift * Performing research and post trade analysis using the firm's research tools on a variety of algorithmic trading ...

Simplex Trading

Algorithmic Trader

Chicago, IL · On-site

Career Description Simplex is looking for analytical and creative individuals to join our trading team. Traders at Simplex work closely with our technology team to design and optimize algorithmic ...

Simplex Trading

Algorithmic Trader

Chicago, IL · On-site

$150K - $200K/yr

Career Description Simplex is looking for analytical and creative individuals to join our trading team. Traders at Simplex work closely with our technology team to design and optimize algorithmic ...

DRW

Algorithmic Trader

Chicago, IL · On-site

$125K/yr

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated ... Use AI tools for post-trade analysis and/or dashboard development (preferred) Schedule This role is ...

Wintermute

Algorithmic Trader

New York, NY

About Wintermute Wintermute is one of the largest algorithmic trading companies in digital assets ... You'll need to analyze large amounts of trading and transaction data, generate insights, prioritize ...

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Algorithmic Trading Analyst information

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$170.5K

How much do algorithmic trading analyst jobs pay per year?

As of Jun 12, 2026, the average yearly pay for algorithmic trading analyst in the United States is $105,027.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $140,000.00 per year, depending on experience, location, and employer.

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 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 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 are the key skills and qualifications needed to thrive as an Algorithmic Trading Analyst, and why are they important?

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.
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Algorithmic Trading Analyst jobs near you
Infographic showing various Algorithmic Trading Analyst job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 85% In-person, 4% Hybrid, and 11% Remote job distribution, with an average salary of $105,027 per year, or $50.5 per hour.

Algorithmic Trading Data Analyst/Engineer

Quanta Search

Manhattan, NY

Other

Posted 11 days ago

Job description

Our client is a global financial technology company, provider of advanced algorithms and data-driven analytics for clients in Futures and US CashTreasury markets.
They are looking for a highly analytical, motivated, and self-driven data engineer with a strong background in designing and constructing highly scalable and flexible data management systems to join our algorithmic trading data analytics/infrastructure team in NYC. You will have the opportunity to make significant contributions to our pre/post trade analytics platform and help define our product's strategic direction through thoughtful design and detailed analysis. As a key member of this team you will be responsible for building, enhancing and maintaining our 35 TB historical database which grows by about 200 GB every day. You will closely collaborate with quantitative researchers and build/improve the necessary databases and services to enable their research. You will also work closely with the sales and other client facing teams to provide analytical solutions to their questions about execution performance.Additionally, you will act as a mentor to other team members and coach them on best practices and engineering standards.You may also be occasionally required to troubleshoot production issues when they occur.
Skills and Background:
Required:
  • Experience working with large financial datasets like market data, order/execution data, or positions data
  • Experience with data analysis using languages such as KDB+/Q, R, Python/Pandas
  • Comfortable with mathematical concepts such as regression techniques, and statistical analysis
  • Experience working in a Unix/Linux environment
  • Strong analytical and problem-solving skills with a proactive attitude to own issues and solve them
  • Excellent team-player and communication skills
Desired:
  • Experience with algorithmic execution and TCA especially in the futures/cash treasuries market is a big plus
  • Familiarity with distributed trading systems/parallel computing
  • Proficiency with C++, REST APIs and UI technologies/framework such as Node.JS, Angular

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