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Algo Trading Jobs (NOW HIRING)

We help candidates land jobs on Wall Street in the highly competitive field of quantitative research and trading (algo trading). We do this through our world leading online education platform with a ...

Algo Java Developer

Manhattan, NY · On-site

$56.25 - $72.75/hr

Algo Java Developer Location: New York, NY (Remote until Covid is resolved, then in office ... The Cash Equities Algorithmic Trading Technology team runs the execution stack from client FIX ...

Lead FIX Engineer

Manhattan, NY · On-site

$112K - $148K/yr

The role will combine client FIX connectivity support, Algo Trading System, overall trading platform/infrastructure support and taking an active role in any relevant projects * The successful ...

Senior Java Algo Developer

New York, NY · On-site +1

$62.75 - $79.75/hr

We facilitated average daily trading volume (ADV) of more than $2.8 trillion over the past four ... You will also own the algo pipeline: how strategies move from research and calibration through ...

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Algo Trading information

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How much do algo trading jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for algo trading in the United States is $36.54, according to ZipRecruiter salary data. Most workers in this role earn between $22.36 and $46.15 per hour, depending on experience, location, and employer.

Who is the richest Algo trader in the world?

The identity of the richest algorithmic trader is not publicly confirmed, but some of the most successful include traders who have built large firms using quantitative models, high-frequency trading, and advanced algorithms. These traders often operate in private, making precise net worth difficult to verify. Notable figures in the industry have accumulated billions through sophisticated trading strategies and technology-driven approaches.

How much do Algo traders earn?

Algo traders typically earn between $80,000 and $200,000 annually, with experienced professionals and those working at hedge funds or proprietary trading firms earning higher salaries and bonuses. Compensation often depends on skill level, performance, and the complexity of algorithms used.

Can you make money with algo trading?

Algo trading professionals develop and implement automated trading strategies that can generate profits, but success depends on market conditions, strategy quality, and risk management. While some traders achieve consistent gains, others may incur losses, making profitability not guaranteed. Skills in programming, quantitative analysis, and understanding of financial markets are essential for success in this field.

What are some common challenges faced by professionals in algo trading roles, and how can they be addressed?

Professionals in algo trading often encounter challenges such as rapidly changing market conditions, ensuring low-latency execution, and maintaining robust risk management. Staying updated with the latest technology and trading strategies is crucial, as is collaborating closely with developers, quantitative analysts, and risk managers. Proactively monitoring algorithm performance and swiftly adapting to market anomalies are essential for long-term success. Open communication within multidisciplinary teams helps address issues and implement enhancements efficiently.

What is the difference between Algo Trading vs Quantitative Analyst?

AspectAlgo TradingQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related fields; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentFinancial firms, hedge funds, trading desks; fast-paced, tech-drivenResearch institutions, investment banks, asset management; analytical and research-focused
Employer & Industry UsageUsed to develop and implement trading algorithmsUsed to develop models and strategies for investment decisions

While both roles require quantitative skills and programming knowledge, Algo Traders focus on developing automated trading systems to execute trades efficiently. Quantitative Analysts primarily develop models to inform investment strategies. Both roles are integral to financial markets but differ in their core functions and daily tasks.

What is algo trading?

Algo trading, short for algorithmic trading, refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms can analyze market data, identify trading opportunities, and place orders at speeds and frequencies that are impossible for human traders. Algo trading is widely used by investment banks, hedge funds, and proprietary trading firms to optimize trading strategies, minimize market impact, and reduce costs. It can range from simple rule-based strategies to highly complex systems using artificial intelligence and machine learning.

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

To thrive as an Algorithmic Trader, you need strong analytical skills, proficiency in quantitative finance, and a background in mathematics, statistics, or computer science, often supported by a relevant degree. Expertise with programming languages like Python or C++, familiarity with trading platforms, and certifications such as CFA or FRM are highly valued. Superior problem-solving, adaptability, and the ability to make quick, data-driven decisions under pressure are critical soft skills in this field. These capabilities are essential for developing, testing, and executing trading strategies efficiently in highly competitive and fast-moving financial markets.

Is algo trading a good career?

Algo trading is a specialized career involving developing and implementing automated trading strategies using programming skills and financial knowledge. It offers high earning potential and demand for quantitative skills but requires strong technical expertise, continuous learning, and risk management understanding. Success depends on market conditions, technical proficiency, and the ability to adapt to evolving technology and regulations.
More about Algo Trading jobs
What cities are hiring for Algo Trading jobs? Cities with the most Algo Trading job openings:
What states have the most Algo Trading jobs? States with the most job openings for Algo Trading jobs include:
What job categories do people searching Algo Trading jobs look for? The top searched job categories for Algo Trading jobs are:
Infographic showing various Algo Trading job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Nights. Highlights an 100% Physical job distribution, with an average salary of $76,005 per year, or $36.5 per hour.
FID, Rates Swaps Algo Strat - VP

FID, Rates Swaps Algo Strat - VP

Morgan Stanley

New York, NY

$160K - $250K/yr

Full-time

Posted 14 days ago


Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 154 frontline employees who took The Breakroom Quiz

37th of 150 rated financial services


Job description

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.

As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

The Fixed Income Division is comprised of Interest Rate and Currency Products, Credit Products and Distribution. Professionals in the Division assess and actively manages risk, trade securities, and structure as well as execute innovative transactions in the fast-paced and constantly changing global markets. The Commodities Division is a market leader in energy, metals, and agricultural product trading worldwide whose professionals trade in both physical and derivative commodity risk.

US Interest Rate Swaps Algorithmic Trading Strategist

The US IRS Algo Trading team builds advanced models and systems that power trading in USD interest rate swaps. As a strategist on the team, you'll design, develop, and deploy automated trading solutions that span pricing, hedging, execution, and risk management. This is a high-impact role with strong visibility-you'll collaborate closely with bookrunners and technology, contribute directly to the desk's performance, and see your work make a tangible difference.

What You'll Do

  • Lead initiatives across the full lifecycle of electronic trading - from research and modeling to back-testing, deployment, and performance optimization.
  • Partner with bookrunners and fellow strats to identify opportunities and deliver meaningful quantitative and technical enhancements.
  • Collaborate with technology teams to develop solutions that are robust, scalable, and production-ready.
  • Contribute both as a quantitative modeler and hands-on developer, continually improving our automated trading capabilities.

What We're Looking For

  • 2-5 years of experience in a quantitative role.
  • Bachelor's degree (or higher) in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field.
  • Strong programming skills in Python.
  • Familiarity with Java or other object-oriented languages is a plus.
  • Experience with KDB/q.
  • Exposure to Unix/Linux environments.
  • Solid analytical and problem-solving skills, with sharp attention to detail and a proactive mindset.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Expected base pay rates for the role will be between $150,000 and $200,000 for Associate and between $160,000 and $250,000 for Vice President. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).


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