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Algorithmic Trading Analyst Jobs (NOW HIRING)

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 ...

Apply Early

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 ...

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 ...

Hanwha Energy USA

Trading Analyst

Houston, TX · On-site

Support development of algorithmic trading platform * Providing key financial analysis to enable both day-to-day and strategic decisions * Responsible for coordinating Supply related management ...

Apply Early

Hanwha Energy USA

Trading Analyst

Houston, TX

Support development of algorithmic trading platform * Providing key financial analysis to enable both day-to-day and strategic decisions * Responsible for coordinating Supply related management ...

Hanwha Energy USA

Trading Analyst

Houston, TX · On-site

Support development of algorithmic trading platform * Providing key financial analysis to enable both day-to-day and strategic decisions * Responsible for coordinating Supply related management ...

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 ...

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Algorithmic Trading Analyst information

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$105K

$170.5K

How much do algorithmic trading analyst jobs pay per year?

As of Jul 2, 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.

Is an algorithmic trader a quant?

An algorithmic trading analyst often works closely with quantitative analysis, but they are not necessarily the same role. Quants typically develop mathematical models and use statistical techniques, while algorithmic traders focus on implementing and executing trading strategies based on those models. Both roles require strong programming skills and a solid understanding of financial markets.

Can AI do algorithmic trading?

Algorithmic Trading Analysts utilize AI and machine learning techniques to develop and optimize trading algorithms that execute trades based on data patterns. AI can automate decision-making processes, improve trading speed, and adapt to market changes, making it a valuable tool in algorithmic trading environments. Proficiency in programming, data analysis, and financial markets is essential for this role.

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.

Is algo trading a good career?

Algorithmic trading analysts develop and implement automated trading strategies using programming skills and quantitative analysis. The role requires strong knowledge of financial markets, programming languages like Python or C++, and often a background in finance or mathematics. It can be a lucrative and intellectually challenging career with opportunities for growth in financial firms and hedge funds.

What is the salary of an algorithmic trader?

The salary of an algorithmic trading analyst typically ranges from $80,000 to $150,000 annually, depending on experience, location, and firm size. Many roles also include performance bonuses and profit-sharing opportunities, especially in high-frequency trading environments that require strong programming skills and quantitative analysis.

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 • On-site

Full-time

Posted 2 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 Cash Treasury 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

Thank you for illuminating hiring with Quanta Search!
www.quantasearch.com

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