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Part Time Algorithmic Trading Software Developer Jobs

Intel

AI Software Engineering Intern

Hillsboro, OR · On-site

This role is ideal for a student who can work part-time (16 hours/week) for 6 months to 1 year and ... Accuracy validation of floatingpoint algorithms * Software libraries design and architecture ...

Intel

AI Software Engineering Intern

Folsom, CA

This role is ideal for a student who can work part-time (16 hours/week) for 6 months to 1 year and ... Accuracy validation of floatingpoint algorithms * Software libraries design and architecture ...

Nvidia

System Software Engineer - GPU

Santa Clara, CA

$203K - $240K/yr

The best candidates will have strong C++ programming skills, thorough knowledge of GPU concepts and algorithms, a solid foundation of systems software with emphasis on OS fundamentals, and a deep ...

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Part Time Algorithmic Trading Software Developer information

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$48K

$111.8K

$166K

How much do part time algorithmic trading software developer jobs pay per year?

As of Jun 24, 2026, the average yearly pay for part time algorithmic trading software developer in the United States is $111,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $130,000.00 per year, depending on experience, location, and employer.

Is there a shortage of software developers?

There is a high demand for software developers, including those specializing in algorithmic trading software development, due to rapid technological growth and the need for advanced trading algorithms. This demand often results in competitive salaries and opportunities for skilled programmers with knowledge of programming languages like Python, C++, and experience with trading platforms. The job market remains strong for developers with relevant technical skills and certifications.

How much do algorithm developers make?

Algorithmic trading software developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and the complexity of the algorithms they develop. Senior developers or those with specialized skills in machine learning and high-frequency trading can earn higher salaries, often exceeding $200,000 with bonuses and profit sharing.

How to get into algotrading?

To become a part-time algorithmic trading software developer, develop strong programming skills in languages like Python or C++, learn quantitative analysis and trading strategies, and gain experience with trading platforms and APIs. Building a solid understanding of financial markets and data analysis is essential, and familiarity with tools such as backtesting software can improve your prospects in this field.

What are the key skills and qualifications needed to thrive as a Part Time Algorithmic Trading Software Developer, and why are they important?

To thrive as a Part Time Algorithmic Trading Software Developer, you need strong programming skills (often in Python or C++), a solid understanding of financial markets, and experience with quantitative analysis. Familiarity with trading platforms, APIs (such as FIX or REST), and version control systems like Git is also essential, and certifications like CFA or CQF can be advantageous. Attention to detail, analytical thinking, and effective communication are vital soft skills for optimizing algorithms and collaborating with trading teams. These skills ensure the reliable development and maintenance of automated trading systems that operate efficiently and profitably in dynamic market environments.

Is algo trading a good career?

A career as a part-time algorithmic trading software developer involves designing and implementing trading algorithms using programming skills and financial knowledge. It can be financially rewarding and offers flexible work hours, but requires strong coding abilities, understanding of markets, and risk management. Success depends on technical expertise, market conditions, and continuous learning.

What is the difference between Part Time Algorithmic Trading Software Developer vs Part Time Quantitative Analyst?

AspectPart Time Algorithmic Trading Software DeveloperPart Time Quantitative Analyst
Required CredentialsProgramming skills, knowledge of trading algorithms, possibly finance certificationsMathematics, statistics, finance degrees, certifications like CFA
Work EnvironmentCollaborates with traders, developers, and data scientists in trading firms or hedge fundsWorks with data, models, and financial strategies in investment firms or banks
Industry UsageCommonly employed in trading firms, hedge funds, fintech companiesUsed in asset management, hedge funds, investment banks

While both roles involve quantitative skills and finance knowledge, the Part Time Algorithmic Trading Software Developer primarily focuses on coding and developing trading algorithms, whereas the Part Time Quantitative Analyst emphasizes data analysis and financial modeling. Both roles are integral to trading firms but differ in daily tasks and skill emphasis.

How does a part-time algorithmic trading software developer typically collaborate with quantitative analysts and traders?

As a part-time algorithmic trading software developer, you will frequently work alongside quantitative analysts and traders to translate trading strategies into robust, automated code. This collaboration often involves regular meetings to discuss strategy logic, performance requirements, and risk controls. Effective communication and adaptability are key, as you'll need to quickly iterate on feedback, address technical challenges, and ensure the software integrates seamlessly with existing trading systems. Despite the part-time nature, your contributions are integral to the team's ability to deploy and refine trading algorithms efficiently.

What are Part Time Algorithmic Trading Software Developers?

Part Time Algorithmic Trading Software Developers are professionals who design, develop, and maintain software systems that automate trading strategies, typically for financial markets, while working less than full-time hours. They use programming languages like Python, C++, or Java to create algorithms that can analyze market data and execute trades automatically based on predefined criteria. Their role often involves collaborating with traders, backtesting strategies, and optimizing code for speed and reliability, usually on a flexible or contract basis. This position is ideal for those with strong coding skills and an interest in finance who prefer a part-time schedule.
What cities are hiring for Part Time Algorithmic Trading Software Developer jobs? Cities with the most Part Time Algorithmic Trading Software Developer job openings:
What are the most commonly searched types of Algorithmic Trading Software Developer jobs? The most popular types of Algorithmic Trading Software Developer jobs are:
Part Time Algorithmic Trading Software Developer jobs near you
Computer Vision Software Engineer, Mid

Computer Vision Software Engineer, Mid

Booz Allen Hamilton, Inc.

Dayton, OH • On-site

$69K - $158K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 2 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants

Job description


Remote Work:
No
Job Number:
R0242680
Location:
Dayton,OH,US
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Computer Vision Software Engineer, Mid
The Opportunity
Join a mission-focused engineering team building advanced computer vision (CV), multi-sensor fusion, and detection and tracking capabilities for remote sensing and GEOINT environments. As a Mid-Level Computer Vision Engineer, you will design, implement, and optimize CV algorithms and deep learning pipelines, contributing to operational systems used across national security missions. You will work closely with senior engineers while owning well-defined components of the technical solution.
What You'll Work On:
  • Develop and implement computer vision algorithms for target detection, characterization, and tracking across single- and multi-sensor data
  • Build and maintain model training, evaluation, and deployment pipelines in Python or C++
  • Apply deep learning approaches, including transformer-based architectures such as DINO, CLIP, or SAM, to image understanding problems
  • Integrate classical estimation methods, such as Kalman-family filters with modern deep learning workflows to support real-time algorithm development
  • Contribute to GPU-accelerated model development using CUDA, RAPIDS, or vendor-provided inference runtimes
  • Collaborate with multidisciplinary engineering teams to test, refine, and operationalize computer vision models for constrained compute or real-time environments
  • Support the implementation of microservice-based inference pipelines or containerized model deployments under senior guidance
  • Contribute to the architecture and implementation of novel single and multi-sensor platform detection and tracking algorithms and track fusion of targets

Join us. The world can't wait.
You Have:
  • 3+ years of experience developing computer vision algorithms for detection, tracking, or sensor-based analytics in remote sensing or GEOINT-relevant environments
  • 1+ years of experience applying deep learning to CV problems using transformer-based, self-supervised, or contrastive learning architectures, such as DINO, CLIP, or SAM
  • Experience building pipelines in Python or C++ for algorithm development, training, evaluation, or deployment
  • Experience with GPU-accelerated workflows
  • Experience with classical tracking and estimation methods, such as Kalman or extended Kalman filters, supporting real-time development needs
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience in GPU programming, including CUDA or RAPIDs
  • Experience with developing synthetic modeling of Kinematic target features
  • Experience with AI-augmented development workflows or agentic tools, such as Codex, Claude Code, or OpenCode or other multi-agent approach
  • Knowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment
  • Master's degree in Computer Science, Electrical Engineering, Computer Engineering, AI/ML, Physics, Mathematics or other related field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,300.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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