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Trading Strategy Developer Jobs in Helotes, TX (NOW HIRING)

Esri

GIS Solution Engineer - AEC

San Antonio, TX · On-site

Support your team as you help plan and execute sales strategies. • Be an expert. Become a subject ... Present at conferences and trade shows. Qualifications : Required : • 2+ years of experience with ...

Esri

GIS Solution Engineer - AEC

San Antonio, TX · On-site

Support your team as you help plan and execute sales strategies. • Be an expert. Become a subject ... Present at conferences and trade shows. Qualifications : Required : • 2+ years of experience with ...

DivIHN Integration Inc

HR Recruiter

San Antonio, TX · On-site

$30/hr

... skilled trades, engineering, and professional positions. * Demonstrated success developing sourcing strategies, interviewing candidates, negotiating offers, and managing multiple requisitions ...

Judge Group, Inc.

Engineer Network

San Antonio, TX · On-site

$80 - $90/hr

Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM) and 8 years of ... Present technical recommendations, risks, trade-offs, and implementation strategies to stakeholders ...

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All JobsTrading Strategy Developer JobsTrading Strategy Developer Jobs in Helotes, TX

Trading Strategy Developer information

See Helotes, TX salary details

$47.7K

$107.1K

$186.8K

How much do trading strategy developer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for trading strategy developer in Helotes, TX is $107,084.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $135,300.00 per year, depending on experience, location, and employer.

What does a trading strategy developer do?

A Trading Strategy Developer designs, tests, and implements algorithms or systems that facilitate automated trading in financial markets. They analyze market data, identify trading opportunities, and use programming languages to create models that can execute trades based on predefined rules. Their work involves backtesting strategies to ensure efficiency and robustness before deploying them in live markets, and they often collaborate with quantitative analysts and other finance professionals to optimize trading performance.

What are the key skills and qualifications needed to thrive as a trading strategy developer?

To thrive as a Trading Strategy Developer, you need a solid background in quantitative analysis, financial markets, and programming—often supported by a degree in math, finance, computer science, or engineering. Expertise with programming languages such as Python, C++, and platforms like MATLAB, as well as familiarity with trading systems and backtesting frameworks, is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas effectively set top performers apart. These abilities are crucial for designing robust, profitable strategies that perform reliably in dynamic and competitive trading environments.

What are some common challenges faced by trading strategy developers when implementing new algorithms in live markets?

Trading Strategy Developers often encounter challenges such as managing slippage, latency, and unexpected market conditions when deploying new algorithms. Backtested strategies may not always perform as expected in live environments due to differences in data quality, execution speed, and market microstructure. Close collaboration with quantitative researchers, software engineers, and risk managers is essential to monitor performance, make real-time adjustments, and ensure compliance with trading regulations. Addressing these challenges proactively is key to maintaining robust, profitable strategies.

What is the difference between Trading Strategy Developer vs Quantitative Analyst?

AspectTrading Strategy DeveloperQuantitative Analyst
CredentialsTypically requires degrees in finance, computer science, or mathematics; certifications like CFA or CQF are commonSimilar credentials; often holds advanced degrees in finance, mathematics, or statistics; CFA is also common
Work EnvironmentWorks in trading firms, hedge funds, or financial institutions focusing on developing and implementing trading algorithmsWorks in finance, investment banks, or asset management firms analyzing data to inform investment decisions
Primary FocusDesigning, testing, and optimizing trading strategies and algorithmsAnalyzing financial data, modeling markets, and developing quantitative models for investment strategies

While both roles require strong quantitative skills and similar educational backgrounds, Trading Strategy Developers focus on creating and deploying trading algorithms, whereas Quantitative Analysts primarily analyze data and develop models to support investment decisions. Their work environments often overlap, but their core responsibilities differ in application and focus.

What cities near Helotes, TX are hiring for Trading Strategy Developer jobs?

Cities near Helotes, TX with the most Trading Strategy Developer job openings:

Trading Strategy Developer jobs near you

LEAD ANALYST - LEAD ENGINEER - PRINCIPAL ENGINEER - AI & Machine Learning Intelligent Avionics

Southwest Research Institute

San Antonio, TX • On-site

$92K - $121K/yr

Full-time

Posted 5 days ago

Southwest Research Institute rating

8.9

Company rating: 8.9 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

9th of 75 rated research

Job description

Who We Are:
The Strategic Aerospace Department in the Defense & Intelligence Solutions Division provides the USAF with engineering services that increases the warfighters capabilities specifically for the bombers, tankers and heavies platforms.
Objectives of this Role:
  • Lead advanced AI/machine learning (ML) research and development for aerospace mission systems, embedded avionics, intelligent sensing, autonomy, and real-time edge computing across the Department's strategic avionics portfolio.
  • Develop physics-informed and data-driven ML approaches for sensor fusion, system identification, anomaly detection, prediction, decision support, and adaptive mission-system capabilities.
  • Architect, prototype, and transition AI/ML algorithms from research environments into deployable embedded hardware using C/C++, Python, heterogeneous processors, and real-time software frameworks.
  • Provide senior technical leadership for multidisciplinary integration of AI-enabled hardware/software into complex avionics systems, including laboratory, SIL/HIL, subsystem, and platform-level verification.
  • Advance Department AI capabilities through technical strategy, customer engagement, proposals, publications, technology demonstrations, mentoring, and transition of research into funded aerospace programs.

Daily and Monthly Responsibilities:
  • Design, implement, optimize, and validate AI/ML algorithms for embedded aerospace and avionics applications, including physics-informed ML, sensor fusion, inference, prediction, classification, and autonomy.
  • Develop production-quality Python and C/C++ software and deploy trained models to real-time embedded compute platforms; profile latency, memory, power, determinism, reliability, and mission performance.
  • Integrate AI algorithms with avionics hardware, sensors, communications, mission software, and test assets; develop and execute SIL/HIL experiments, data pipelines, verification methods, and performance assessments.
  • Collaborate with electrical, embedded software, systems, RF, mechanical, test, cybersecurity, and flight-domain engineers to solve complex AI integration, interface, timing, assurance, and qualification challenges.
  • Lead technical reviews, trade studies, experiments, customer demonstrations, proposals, white papers, and technical reports; mentor engineers and establish reusable AI/ML architectures, tools, and engineering practices.

Requirements:
  • Requires a Bachelors or a Masters degree in Electrical Engineering, Computer Engineering, Aerospace Engineering, Engineering Physics, Applied Mathematics, Data Science, or related engineering or technical degree field. Graduate degrees in AI or Machine Learning or a closely related discipline are strongly preferred.
  • 12+ years: Progressive engineering experience developing advanced AI/ML, data science, intelligent systems, or autonomy solutions, with demonstrated technical leadership and successful transition of algorithms into operational hardware/software.
  • 12+ years: Proven expertise in physics-informed machine learning, scientific ML, system identification, reduced-order modeling, estimation, optimization, uncertainty quantification, or hybrid physics/data-driven methods.
  • 12+ years: Expert-level Python and C/C++ development with hands-on experience using modern ML frameworks such as PyTorch, TensorFlow, JAX, or equivalent, and deploying models to embedded CPU/GPU/FPGA or other edge-compute hardware.
  • 12+ years: Demonstrated aerospace/defense avionics experience integrating AI-enabled capabilities with sensors, mission systems, embedded electronics, real-time interfaces, SIL/HIL test environments, and verification/validation processes.
  • A valid/clear driver's license is required.

Special Requirements:
Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Applicant must be a U.S. citizen.
Job Locations: San Antonio, Texas Or Oklahoma City, Oklahoma
For more information about this division, visit the Defense & Intelligence Solutions home page.
For benefits information at our San Antonio location, click here .
For benefits information at all other locations, click here .
An Equal Employment Opportunity Employer: race, color, religion, sex, national origin, disability, and veteran status.

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