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Remote Algorithmic Trader Jobs in Austin, TX (NOW HIRING)

Remote Algorithmic Trader information

See Austin, TX salary details

$39.2K

$95.9K

$267.1K

How much do remote algorithmic trader jobs pay per year?

As of Jun 17, 2026, the average yearly pay for remote algorithmic trader in Austin, TX is $95,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $104,600.00 per year, depending on experience, location, and employer.

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What is the difference between Remote Algorithmic Trader vs Remote Quantitative Analyst?

AspectRemote Algorithmic TraderRemote Quantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skills; knowledge of trading algorithmsDegree in finance, mathematics, or statistics; programming skills; data analysis expertise
Work EnvironmentFinancial firms, trading platforms, hedge funds; primarily remoteFinancial institutions, research firms; often remote or hybrid
Industry UsageUsed in trading firms, hedge funds, proprietary trading desksUsed in investment banks, asset management, research firms
Common Search & ComparisonOften compared for trading strategies and algorithm developmentCompared for data analysis and modeling roles

The main difference is that Remote Algorithmic Traders focus on executing trading strategies using algorithms, while Remote Quantitative Analysts develop models and analyze data to inform trading decisions. Both roles require programming and finance knowledge but differ in daily tasks and end goals.

What is a remote algorithmic trader?

A remote algorithmic trader is a financial professional who uses computer algorithms to execute trades in financial markets from a location outside of a traditional office, often working from home. These traders develop, test, and deploy automated trading strategies that analyze market data and make buy or sell decisions with minimal human intervention. The remote aspect allows for flexible work environments while still participating in fast-paced global markets. Successful remote algorithmic traders typically have strong programming, quantitative, and analytical skills. They may work independently or for trading firms, hedge funds, or financial institutions.

What are some common challenges faced by remote algorithmic traders, and how can they be effectively managed?

Remote algorithmic traders often face challenges such as maintaining reliable access to market data, ensuring secure and low-latency connectivity, and managing time zone differences with team members or markets. To address these, traders typically invest in robust internet infrastructure, use VPNs or dedicated trading servers, and establish clear communication protocols with their teams. Additionally, regular collaboration through virtual meetings and documentation helps ensure alignment and quick problem-solving despite physical distance.

What is the meaning of the word remote?

In the context of a remote algorithmic trader, 'remote' refers to working outside a traditional office environment, often from home or any location with internet access. This setup allows traders to use trading platforms, programming tools, and data analysis software remotely without being physically present in a specific office. It requires strong self-discipline, reliable internet, and familiarity with digital communication tools.

How to make 2000 a week working from home?

A remote algorithmic trader can potentially earn $2,000 or more weekly by developing and deploying profitable trading algorithms, managing risk, and utilizing trading platforms and programming skills. Success depends on market knowledge, experience, and consistent performance, often requiring advanced skills in programming, data analysis, and financial markets.

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

To thrive as a Remote Algorithmic Trader, you need strong quantitative analysis, programming expertise (typically in Python or C++), and a solid understanding of financial markets, often supported by a degree in finance, mathematics, or computer science. Familiarity with trading platforms, backtesting tools, and data analysis software, as well as certifications like CFA or FRM, is highly beneficial. Excellent problem-solving, adaptability, and disciplined decision-making set top performers apart in this field. These skills are crucial for developing profitable trading strategies, managing risk, and maintaining competitiveness in a fast-moving, technology-driven environment.

What is the meaning of remote in one word?

In the context of a remote algorithmic trader, 'remote' means working from a location outside the company's physical office, often from home or another location. It allows traders to perform their tasks using internet-connected devices without being onsite.
What are popular job titles related to Remote Algorithmic Trader jobs in Austin, TX? For Remote Algorithmic Trader jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Algorithmic Trader jobs in Austin, TX look for? The top searched job categories for Remote Algorithmic Trader jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Algorithmic Trader jobs? Cities near Austin, TX with the most Remote Algorithmic Trader job openings:
Infographic showing various Remote Algorithmic Trader job openings in Austin, TX as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $95,923 per year, or $46.1 per hour.

Electro-Optical & Infrared (EO/IR) Engineer

Allen Control Systems

Austin, TX โ€ข Remote

Full-time

Medical, Dental, Vision, PTO

Posted 4 days ago

Be an early applicant


Job description

Company Overview

Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones.

Position Overview

Allen Control Systems is seeking an experienced Electro-Optical/Infrared (EO/IR) Engineer with Digital Signal Processing (DSP) experience to join our engineering team. In this role, you will apply your expertise in optical and infrared sensor systems and DSP to model and predict sensor performance across a range of operational environments, develop and refine system requirements for current and future EO/IR programs, and contribute to business development activities by supporting the creation of technical proposals and customer-facing presentations. The successful candidate will play a critical role in shaping the technical direction of our EO/IR portfolio and helping the organization win and execute new work.

What You'll Do:

  • Build, validate, and maintain physics-based and empirical models in Python to predict EO/IR sensor performance, including detection, recognition, and identification ranges across visible, NIR, SWIR, MWIR, and LWIR bands.

  • Conduct sensor performance trade studies that account for atmospheric effects, target signatures, background clutter, optical design parameters, detector characteristics, and signal processing chains.

  • Apply advanced DSP techniques to event-based camera data to develop next-generation target detection, tracking, and discrimination algorithms that exploit the high temporal resolution, wide dynamic range, and sparse output of event sensors.

  • Develop, document, and flow down system and subsystem requirements for EO/IR payloads, ensuring traceability from customer needs through hardware and software implementation.

  • Support the full systems engineering lifecycle, including concept development, requirements analysis, architecture definition, verification planning, and integration and test.

  • Contribute to business development efforts by authoring technical sections of proposals, generating performance predictions and supporting analyses, and developing white papers in response to customer needs and solicitations.

  • Prepare and deliver technical presentations to internal stakeholders, customers, and partners, clearly communicating complex sensor performance concepts to both technical and non-technical audiences.

  • Collaborate with cross-functional teams including optical engineers, mechanical and electrical designers, software developers, and program management to ensure technical solutions meet program objectives.

  • Understand and investigate physics-based phenomenology that could aid in target discrimination, including spectral, spatial, temporal, and polarimetric signatures across relevant operating environments.

  • Stay current with emerging EO/IR technologies, threat environments, and modeling tools, and recommend approaches that improve performance, reduce risk, or differentiate the company's offerings.

Required Technical Skills:

  • Bachelor's degree in Physics, Optical Engineering, Electrical Engineering, Aerospace Engineering, or a related technical discipline.

  • Minimum of 10+ years of demonstrated experience with EO/IR sensor performance modeling and analysis, including familiarity with industry-standard tools such as NV-IPM, SSCAMIP, MODTRAN, or equivalent.

  • Demonstrated experience with Digital Signal Processing on EO/IR data.

  • Working knowledge of radiometry, optical system design fundamentals, detector physics, and atmospheric propagation.

  • Experience developing system requirements and supporting requirements management activities.

  • Strong written and verbal communication skills, with the ability to produce clear technical documentation and deliver effective presentations.

  • Proficiency with Python and associated python packages for sensor analysis, DSP and data reduction.

Preferred Technical Skills:

  • Master's degree or PhD in a relevant technical field.

  • Prior experience contributing to government or commercial proposal efforts, including cost, schedule, and technical volume contributions.

  • Background working with airborne, ground-based, or space-based EO/IR systems for ISR, targeting, missile warning, or remote sensing applications.

  • Familiarity with target signature modeling, clutter modeling, and image-based performance assessment techniques.

  • Experience with model-based systems engineering (MBSE) approaches and digital engineering environments.

What We Offer:

  • Competitive salary

  • ACS Equity Package

  • Health, Dental, Vision Insurance

  • Paid Time Off

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.