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Algorithmic Trader Jobs in Dallas, TX (NOW HIRING)

Mercor

Market Conduct Specialist - AI Trainer

Dallas, TX · On-site +1

$100/hr

Knowledge of algorithmic trading, high-frequency trading, and electronic market structure. * Certifications such as CAMS , CISI , CFA , FRM , or equivalent compliance-related credentials. Application ...

Raytheon

Senior Algorithm Systems Engineer

Plano, TX · On-site

$100K - $137K/yr

... Conduct trade studies to compare technical approaches and guide engineering decisions • Build ... Signal Processing Algorithms or Models, Image Processing Algorithms or Models, Detection Theory or ...

Raytheon

Algorithm Senior Systems Engineer

Plano, TX

$100K - $136K/yr

Conduct trade studies to compare technical approaches and guide engineering decisions * Build ... Signal Processing Algorithms or Models, Image Processing Algorithms or Models, Detection Theory, or ...

Raytheon

Senior Algorithm Systems Engineer

Plano, TX

$100K - $136K/yr

Conduct trade studies to compare technical approaches and guide engineering decisions * Build ... Signal Processing Algorithms or Models, Image Processing Algorithms or Models, Detection Theory or ...

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All JobsAlgorithmic Trader JobsAlgorithmic Trader Jobs in Dallas, TX

Algorithmic Trader information

See Dallas, TX salary details

$36K

$88.1K

$245.4K

How much do algorithmic trader jobs pay per year?

As of Jul 29, 2026, the average yearly pay for algorithmic trader in Dallas, TX is $88,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,400.00 and $96,100.00 per year, depending on experience, location, and employer.

How much do algorithmic traders make?

Algorithmic 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, trading performance, and the firm's size, with many traders also receiving performance-based incentives.

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 mathematics, statistics, programming (often Python, C++, or R), and a solid understanding of financial markets, usually supported by a relevant degree. Familiarity with trading platforms, backtesting frameworks, and data analysis tools, plus certifications like CFA or FRM, are commonly required. Strong analytical thinking, attention to detail, and the ability to work under pressure are vital soft skills for success in this fast-paced environment. These skills enable traders to develop effective, automated strategies that capitalize on market opportunities while managing risk efficiently.

What are some typical challenges faced by algorithmic traders in their day-to-day work?

Algorithmic traders often encounter challenges such as maintaining and updating trading algorithms to adapt to rapidly changing market conditions, ensuring low-latency execution, and managing the risks associated with automated trading. Collaborating closely with quantitative analysts, software engineers, and risk managers is essential to refine strategies and troubleshoot technical issues. Staying compliant with regulatory requirements and monitoring for unexpected market behaviors or system errors are also important aspects of the role.

What is an algorithmic trader?

An algorithmic trader is a financial professional who uses computer algorithms to automate trading strategies in financial markets. These traders develop, test, and implement mathematical models that analyze market data and execute trades at speeds and frequencies impossible for humans. Algorithmic traders work in environments such as investment banks, hedge funds, and proprietary trading firms, and their goal is often to maximize returns while managing risk. They typically need strong skills in programming, quantitative analysis, and finance.

Is algo trading a good career?

Algorithmic trading is a specialized career that involves developing and implementing automated trading strategies using programming skills and quantitative analysis. It can be financially rewarding and offers opportunities in finance firms and hedge funds, but it requires strong technical knowledge, risk management skills, and continuous learning. Success depends on market conditions, technical proficiency, and the ability to adapt strategies over time.

Who is the richest Algo trader in the world?

The richest algorithmic trader is often considered to be Jim Simons, founder of Renaissance Technologies, a highly successful quantitative hedge fund. His firm employs advanced mathematical models and computer algorithms to generate trading strategies, making him one of the wealthiest individuals in the trading industry. Many top algo traders leverage skills in mathematics, programming, and data analysis to succeed in this field.

Is algo trading really profitable?

Algorithmic traders use automated systems and algorithms to execute trades based on predefined criteria. While successful algo trading can be profitable, it requires advanced programming skills, market knowledge, and risk management; profitability varies depending on strategy, market conditions, and execution quality.

What is the difference between Algorithmic Trader vs Quantitative Analyst?

AspectAlgorithmic TraderQuantitative 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-pacedFinancial institutions, research firms; analytical and research-focused
Employer & Industry UsageUsed primarily in trading and investment firmsUsed in asset management, hedge funds, and investment banks

While both roles require strong quantitative skills and programming knowledge, Algorithmic Traders focus on developing and executing trading algorithms in real-time markets, whereas Quantitative Analysts primarily develop models and strategies for investment decision-making. The roles often overlap but differ mainly in their focus on trading execution versus model development.

What are the most commonly searched types of Algorithmic Trader jobs in Dallas, TX? The most popular types of Algorithmic Trader jobs in Dallas, TX are:
What are popular job titles related to Algorithmic Trader jobs in Dallas, TX? For Algorithmic Trader jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trader jobs in Dallas, TX look for? The top searched job categories for Algorithmic Trader jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Algorithmic Trader jobs? Cities near Dallas, TX with the most Algorithmic Trader job openings:
Algorithmic Trader jobs near you
Infographic showing various Algorithmic Trader job openings in Dallas, TX as of July 2026, with employment types broken down into 1% Internship, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $88,109 per year, or $42.4 per hour.
Senior Lead Software Engineer - Java/Algo Trading

Senior Lead Software Engineer - Java/Algo Trading

JPMorgan Chase & Co.

Plano, TX • On-site

$147K - $225K/yr

Full-time

Medical, Retirement

Posted 16 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

70th of 170 rated banks

Job description


Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank, specifically in the Markets Technology, Options Algorithmic trading sub-line of business, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Your technical prowess and problem-solving abilities will be put to use to tackle a variety of challenges across different technologies and applications.
As part of the Electronic Trading Technology (ETT) team, your responsibilities will include the development and upkeep of the robust technology infrastructure that underpins our electronic trading activities. This will involve the design and execution of systems for order management, trade execution, market data processing, and risk management. Within the ETT, you will be a member of the Options Algorithmic Trading team, focusing on the development and refinement of algorithmic trading engines specifically for options instruments, driving significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale
  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendor
  • Collaborate with the product team to translate trading strategies into efficient and scalable algorithms
  • Continuously improve and refactor existing codebases to enhance performance, implement comprehensive testing, and ensure the reliability of trading systems
  • Design and implement algorithmic trading strategies, focusing on optimizing execution and performance in a low-touch trading environment
  • Serves as a function-wide subject matter expert in one or more areas of focus and drives decisions influencing product designs, application functionality, and technical operations and processes
  • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
  • Influences peers and project decision-makers to consider the use and application of leading-edge technologies
  • Adds to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s) (i.e. Java - with strong understanding of data structures, algorithms, and multi threading in Java)
  • Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls
  • Experience with algorithmic trading systems and familiarity with trading protocols such as FIX
  • Practical experience with performance optimization and low-touch system design
  • Familiarity with financial markets and trading concepts, particularly in equities and options
  • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Ability to tackle design and functionality problems independently with little to no oversight
  • Practical cloud native experience
  • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills
  • Experience in designing and implementing high-performance, low-touch trading systems. Familiarity with financial data feeds and market data integration, ensuring efficient data handling and processing in trading systems.
  • Ability to troubleshoot complex software issues and optimize application performance and reliability.
  • Experience with messaging systems such as AMPS or Kafka, particularly in the context of real-time data streaming and processing.
  • Experience with Cucumber for behavior-driven development (BDD) and testing, particularly in Java environments.
  • Experience with automation tools and scripting languages (e.g., Python, Shell) to streamline testing and reporting.
  • Proficiency in working with Linux operating systems, including scripting and basic administration tasks relevant to trading systems.
  • Familiarity with monitoring and logging tools such as Grafana or Splunk for application performance and system health monitoring

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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