1

Algorithmic Trading Jobs in Dallas, TX (NOW HIRING)

Senior RF Data Link Engineer

Dallas, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Algorithm development * Digital signal processing What You Will Do * Perform and/or evaluate concept and performance trade studies, link budget analyses and demonstrate developed capabilities for ...

EO/IR Principal Systems Engineer

Plano, TX · On-site

$108 - $205/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform performance analysis, algorithm development and evaluation, trade studies, statistical modeling, performance prediction, and data analysis for complex systems using Raytheon engineering ...

New

Senior Systems Engineer - EO/IR

Plano, TX

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Performance analysis, algorithm development, algorithm analysis, trade study generation, statistical modeling, performance predictions, and data analysis for complex systems using Raytheon ...

Senior Systems Engineer - EO/IR

Plano, TX · On-site

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Performance analysis, algorithm development, algorithm analysis, trade study generation, statistical modeling, performance predictions, and data analysis for complex systems using Raytheon ...

Senior Systems Engineer - EO/IR with Security Clearance

Plano, TX · On-site

$100K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Performance analysis, algorithm development, algorithm analysis, trade study generation, statistical modeling, performance predictions, and data analysis for complex systems using Raytheon ...

EO/IR Principal Systems Engineer

Plano, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform performance analysis, algorithm development and evaluation, trade studies, statistical modeling, performance prediction, and data analysis for complex systems using Raytheon engineering ...

Senior Software Engineer

Irving, TX · On-site

$113K - $149K/yr

... algorithmic string processing. • Exceptional communication skills; ability to articulate complex technical trade-offs to non-technical stakeholders and foster a culture of technical excellence. • ...

Showing results 21-40

Algorithmic Trading information

See Dallas, TX salary details

$74K

$85.2K

$93.4K

How much do algorithmic trading jobs pay per year?

As of Aug 18, 2026, the average yearly pay for algorithmic trading in Dallas, TX is $85,187.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $90,400.00 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.

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 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 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.

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 most commonly searched types of Algorithmic Trading jobs in Dallas, TX?

The most popular types of Algorithmic Trading jobs in Dallas, TX are:

What are popular job titles related to Algorithmic Trading jobs in Dallas, TX?

For Algorithmic Trading jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Algorithmic Trading jobs in Dallas, TX look for?

The top searched job categories for Algorithmic Trading jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Algorithmic Trading jobs?

Cities near Dallas, TX with the most Algorithmic Trading job openings:

Infographic showing various Algorithmic Trading job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $85,187 per year, or $41 per hour.

Principal Engineer, State Estimation (R4602)

Shield AI

Dallas, TX • On-site

$270K - $400K/yr

Full-time

Re-posted 19 days ago


Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
We are looking for an experienced state estimation engineer to design, develop, and support the deployment of safety-critical navigation solutions for aerospace platforms. This role requires deep expertise in state estimation theory, extensive practical experience implementing ownship navigation systems in the aerospace domain, and strong software development skills for production-quality navigation code. The engineer will design and implement a unified navigation architecture that supports traditional GNSS/IMU fusion while being extensible to all-source navigation strategies incorporating diverse sensing modalities for GPS-degraded and denied environments.
What you'll do:
Navigation System Architecture & Design:
  • Establish navigation performance requirements and error budgets for safety-critical applications 
  • Support decomposition of navigation requirements into allocations for sensors, estimation algorithms, and software components 
  • Design detailed software architecture for state estimation implementations, including module interfaces and data flow 
Algorithm Development & Implementation:
  • Design and implement Extended Kalman Filter algorithms for navigation applications, with broad understanding of state estimation theory and alternative filtering approaches 
  • Implement tightly-coupled and loosely-coupled GNSS/INS integration algorithms 
  • Integrate diverse sensing modalities (vision, RF, celestial etc.) into multi-sensor fusion framework for GPS-degraded environments 
  • Develop fault detection, isolation, and recovery (FDIR) strategies for navigation systems 
  • Implement integrity monitoring and protection level calculations for safety-critical operations 
Certification & Verification:
  • Develop verification and validation test plans for navigation algorithms 
  • onduct performance analysis including Monte Carlo simulation, covariance analysis, and flight test data evaluation 
  • Document navigation system design, requirements allocation, and compliance evidence 
  • Support safety assessment activities including failure modes and effects analysis 
Technical Leadership:
  • Provide technical guidance on navigation architecture and state estimation approaches 
  • Support trade studies evaluating navigation sensor suites and fusion strategies 
  • Mentor junior engineers on state estimation theory and implementation 
Required qualifications:
  • MS or PhD in Computer Science, Software Engineering, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Applied Mathematics, or related field 
    15+ years of experience developing state estimation algorithms for aerospace navigation applications 
  • Demonstrated experience implementing GNSS/INS integration solutions 
  • Experience with safety-critical system development and certification processes 
  • Deep understanding of state estimation theory 
  • Experience implementing multi-sensor fusion algorithms in production systems 
  • Strong background in inertial navigation, GNSS positioning, and sensor error modeling 
  • Strong programming skills in C/C++ and Python/MATLAB for algorithm development and analysis 
  • Understanding of integrity monitoring, protection levels, and safety assessment methods 
  • Experience with requirements management and verification/validation processes for certifiable systems 
  • Understanding of GPS/GNSS signal structure, error sources, and performance characteristics 
  • Knowledge of IMU error models, calibration, and Allan variance analysis 
  • Familiarity with alternative navigation sensors (camera, RF ranging, celestial, etc.) 
  • Understanding of navigation performance metrics (accuracy, integrity, continuity, availability)
  • Must be eligible to obtain a clearance
  • Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:
  • PhD in relevant field with focus on state estimation or navigation 
  • Direct involvement in certified navigation system development from requirements through flight test 
  • Experience with specialized navigation approaches (vision-aided navigation, terrain-referenced navigation, celestial navigation, etc.) 
  • Publications or patents in navigation or state estimation 
  • Experience with GPS/GNSS jamming and spoofing mitigation techniques 
$270,000 - $400,000 a year
#LI-SM1
#LF

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
###
 
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job