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Algorithmic Trading Jobs in Austin, TX (NOW HIRING)

You will be building the next generation of infrastructure required by a premier algorithmic trading firm operating at the forefront of technology and finance. This position requires deep technical ...

... performance algorithmic trading strategies. Duties will include: * Supervising and optimizing strategy performance * Intraday market and credit risk management * Basic back office and site ...

... performance algorithmic trading strategies. Duties will include: * Supervising and optimizing strategy performance * Intraday market and credit risk management * Basic back office and site ...

Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and ...

Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and ...

Physical Design Engineer

Austin, TX · On-site

$134K - $138K/yr

Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and ...

Review algorithmic trade recommendations for accuracy, logic, and alignment with client strategies * Trade Validation: Verify trade calculations, identify anomalies, and flag unusual proposals for ...

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Algorithmic Trading information

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$73.8K

$85K

$93.2K

How much do algorithmic trading jobs pay per year?

As of Jul 16, 2026, the average yearly pay for algorithmic trading in Austin, TX is $84,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,300.00 and $90,200.00 per year, depending on experience, location, and employer.

What Is Algorithmic Trading?

Algorithmic trading involves trading in equities, currencies, or other financial instruments using computer programs. A trading program uses an algorithm to calculate current market conditions. This trading method is automated, so the program buys or sells the financial instrument when the algorithm says that the market meets all the requirements for a profitable trade. To create an algorithm, you perform mathematical and statistical analysis, also known as quantitative analysis, on an exchange or equity. After creating an algorithm with defined trading rules, you test it using historical market data. While this is primarily a technical field, you also need an understanding of the market.

How to become an algorithmic trader?

To become an algorithmic trader, you should develop strong programming skills in languages like Python or C++, gain knowledge of financial markets and trading strategies, and learn to use trading platforms and data analysis tools. A background in mathematics, statistics, or computer science is often essential, and many traders pursue certifications such as the Chartered Market Technician (CMT) or Financial Risk Manager (FRM). Experience with backtesting and risk management is also important for success in this field.

Is algo trading a good career?

Algorithmic trading is a specialized career that involves developing and implementing automated trading strategies using programming skills, data analysis, and financial knowledge. It can be lucrative and in demand in financial firms, but it requires strong technical expertise, continuous learning, and understanding of market regulations. Success in this field depends on technical proficiency, risk management, and staying updated with market trends.

Who is the richest Algo trader in the world?

Algorithmic trading is a specialized finance role involving the use of algorithms and programming skills to execute trades. While individual net worth is often private, some of the most successful algorithmic traders and quant hedge fund managers, such as Jim Simons, have accumulated significant wealth through quantitative strategies and advanced data analysis. These professionals typically work in high-frequency trading firms or hedge funds and require strong mathematical, programming, and financial skills.

What is algorithmic trading?

Algorithmic trading refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms follow predefined rules based on factors like price, timing, and volume to optimize trading strategies and reduce human intervention. Algorithmic trading is widely used by institutional investors, hedge funds, and individual traders to increase efficiency, minimize costs, and capitalize on market opportunities. It can range from simple rule-based systems to complex strategies involving machine learning and artificial intelligence.

What is the difference between Algorithmic Trading vs Quantitative Analyst?

AspectAlgorithmic TradingQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedInvestment banks, asset management firms; research-focused
Employer & Industry UsageUsed to automate trading strategiesDevelops models to inform trading decisions

While both roles involve quantitative skills and finance knowledge, Algorithmic Traders focus on implementing automated trading systems, whereas Quantitative Analysts develop models and strategies that may be used by traders or firms. The roles often overlap but differ mainly in their primary focus: execution versus modeling.

What are the main challenges faced by professionals in algorithmic trading, and how can they be addressed?

Professionals in algorithmic trading often encounter challenges such as developing strategies that remain effective in rapidly changing markets, minimizing latency for faster execution, and managing the risks associated with automated trading systems. To address these challenges, it's essential to stay updated with the latest market trends and technological advancements, conduct rigorous backtesting of algorithms, and implement robust risk management protocols. Collaboration with quantitative analysts, software engineers, and risk managers is also key to ensuring strategies are both innovative and resilient.

Can I make money with algorithmic trading?

Algorithmic trading professionals develop and implement automated trading strategies that can generate profits if the algorithms are well-designed and market conditions are favorable. Success depends on skills in programming, data analysis, and risk management, and consistent profitability is not guaranteed. Many traders experience both gains and losses, and ongoing testing and optimization are essential for potential profitability.

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 a strong background in quantitative analysis, programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by a degree in mathematics, engineering, finance, or computer science. Familiarity with statistical modeling tools, trading platforms, and backtesting systems is essential, and certifications such as CFA or FRM can be advantageous. Superior problem-solving skills, attention to detail, and the ability to work under pressure set standout professionals apart in this field. These skills are crucial to developing, implementing, and refining trading strategies that can operate profitably and reliably in fast-moving financial environments.
What are the most commonly searched types of Algorithmic Trading jobs in Austin, TX? The most popular types of Algorithmic Trading jobs in Austin, TX are:
What are popular job titles related to Algorithmic Trading jobs in Austin, TX? For Algorithmic Trading jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trading jobs in Austin, TX look for? The top searched job categories for Algorithmic Trading jobs in Austin, TX are:
What cities near Austin, TX are hiring for Algorithmic Trading jobs? Cities near Austin, TX with the most Algorithmic Trading job openings:
Infographic showing various Algorithmic Trading job openings in Austin, TX as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 15% Part Time, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $84,996 per year, or $40.9 per hour.
Software Engineering Internship (C++ or Python) - Summer 2027

Software Engineering Internship (C++ or Python) - Summer 2027

Hudson River Trading

Austin, TX • On-site

Temporary, Internship

Posted 3 days ago


Job description

Hudson River Trading (HRT) is seeking highly motivated full-time students to join our Software Engineering Summer Internship Program. HRT brings together the sharpest minds across quantitative disciplines-math, computer science, physics, engineering, and more- within our world-class computing environment to rapidly scale solutions to the toughest problems in tech and trading. Our software engineers create and maintain technology and infrastructure that is integral to the success of our trading. Ideal candidates are smart programmers who love to code, are eager to learn, and can thrive in an entrepreneurial environment.
What to Expect
  • A hands-on introduction to all technical facets of software engineering in the algorithmic trading industry
  • Independent programming projects in Python, C, or C++, depending on the needs of the projectStructured and hands-on trainings, with quick transition into real projects within the first week
  • Opportunities to learn all about HRT's research and trading infrastructure, even in areas you may not be working in directly
  • Technical project work and mentorship, with the opportunity to gain a deeper understanding of global financial markets
  • Plenty of opportunities to connect with fellow interns, participate in team events, and explore the unique culture, food, and experiences that make each HRT office location and cities special.

Qualifications
  • You are a full-time undergraduate student studying computer science or a related field who is eligible for full-time roles in 2028
  • Programming experience in Python, C or C++ is required
  • A passion for technology and writing code that is elegant, readable, and efficient
  • Exceptional problem solving skills
  • Strong communication skills
  • Knowledge of trading and/or financial markets is not required for this position

We offer a weekly base salary offer in addition to a competitive signing bonus, company-paid housing, meals, and other perks.
US: Weekly base salary of 5,800 USD
Singapore: Weekly base salary of 7,650 SGD
Culture
Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.
At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We're a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization-from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we're friends and colleagues - whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.
Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we'd love to get to know you.
Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.