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Algorithmic Trading Analyst Jobs (NOW HIRING)

Description Our Algorithmic Traders use their expert understanding of the financial markets and ... Build and maintain trading quantitative model tools and analytics * Develop, code, maintain and ...

This role is designed as a foundational entry point into algorithmic trading analysis with a clear path toward becoming a subject matter expert in execution strategy and performance. In this role ...

This role is designed as a foundational entry point into algorithmic trading analysis with a clear path toward becoming a subject matter expert in execution strategy and performance. In this role ...

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Algorithmic Trading Analyst information

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$33K

$105K

$170.5K

How much do algorithmic trading analyst jobs pay per year?

As of Jul 24, 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.
More about Algorithmic Trading Analyst jobs
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Infographic showing various Algorithmic Trading Analyst job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $105,027 per year, or $50.5 per hour.
Electronic Trading Coverage, APAC

Electronic Trading Coverage, APAC

BestEx Research

Stamford, CT • On-site

Full-time

Posted 18 days ago


Job description

About BestEx Research
BestEx Research is a financial technology and research firm specializing in building sophisticated execution algorithms and transaction cost modeling tools servicing multiple asset classes. The firm provides its services to performance-demanding hedge funds, CTAs, asset managers, and banks through a traditional electronic broker and in a broker-neutral Software as a Service (SaaS) model.
BestEx Research's mission is to become the leader in automation and measurement of execution across asset classes globally and significantly reduce transaction costs for our clients. Its cloud-based platform, Algo Management System (AMS), is the first end-to-end algorithmic trading solution for equities, futures, and foreign exchange that delivers an entire ecosystem around execution algorithms, including transaction cost analysis (TCA), an algo customization tool called Strategy Studio, a trading dashboard, and pre-trade analytics in a single platform. The platform is currently live for Global equities and global futures trading.
BestEx Research is disrupting a $100 billion industry by challenging the status quo of stale, black-box solutions from banks and offering next-generation execution algorithms that combine performance improvement with transparency and customization. Visit bestexresearch.com for more information about our mission, products, research, and services.
Responsibilities -
  • Based in Stamford, CT, you will work evening hours (6 pm-3 am ET) to provide daily coverage for Equities and Futures electronic trading clients active in Asian markets.
  • Manage real-time client execution oversight and relationship management, maintaining consistent, proactive dialogue with key trading personnel.
  • During incidents or outages, lead issue escalation to development teams, manage trading risk, and coordinate clear client communication.
  • Partner with the technology team to identify monitoring and alerting gaps and recommend improvements.
  • Define, track, and report key performance benchmarks that drive client success.
  • Deepen client relationships through proactive product insights, content, and exceptional execution support.
  • Lead beta testing of new trading systems and algorithmic features and introduce relevant enhancements to clients

Requirements
    • 5+ years of experience in covering Equities or Futures electronic trading with institutional clients.
    • Understanding of execution algorithms and market structure. Ability to pick up knowledge on the new markets quickly.
    • Strong interpersonal, communication and presentation abilities, with the ability to explain technical concepts to non-technical stakeholders.
    • Ability to multi-task and perform effectively under pressure.
    • Solid understanding of APAC equity and/or Futures market structure.
    • Active Series 7, 3 or 63.
    • Bachelor's degree (4-year college)