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Home Based Algorithmic Trading Software Developer Jobs in Springfield, MA

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

Software Engineer

Hartford, CT · Remote

$40 - $75/hr

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Software Engineer

Springfield, MA · Remote

$40 - $75/hr

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

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Showing results 1-20

Home Based Algorithmic Trading Software Developer information

See Springfield, MA salary details

$47.8K

$111.5K

$165.4K

How much do home based algorithmic trading software developer jobs pay per year?

As of May 29, 2026, the average yearly pay for home based algorithmic trading software developer in Springfield, MA is $111,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $129,500.00 per year, depending on experience, location, and employer.

What is the difference between Home Based Algorithmic Trading Software Developer vs Quantitative Analyst?

AspectHome Based Algorithmic Trading Software DeveloperQuantitative Analyst
Required CredentialsBachelor's in Computer Science, Software Engineering, or related field; coding certificationsDegree in Mathematics, Finance, or Economics; often advanced degrees
Work EnvironmentRemote, focused on software development and codingOffice or remote, analyzing data and developing models
Industry UsageFinancial firms, hedge funds, trading platformsInvestment banks, asset management, hedge funds
Common Search/ComparisonYesYes

While both roles involve quantitative skills, the Home Based Algorithmic Trading Software Developer primarily focuses on coding and developing trading algorithms remotely, whereas the Quantitative Analyst emphasizes data analysis and model development, often in an office setting.

What are popular job titles related to Home Based Algorithmic Trading Software Developer jobs in Springfield, MA? For Home Based Algorithmic Trading Software Developer jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Home Based Algorithmic Trading Software Developer jobs in Springfield, MA look for? The top searched job categories for Home Based Algorithmic Trading Software Developer jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Home Based Algorithmic Trading Software Developer jobs? Cities near Springfield, MA with the most Home Based Algorithmic Trading Software Developer job openings:
Lead Full Stack Engineer PxE Consulting

Lead Full Stack Engineer PxE Consulting

Deloitte

Hartford, CT • On-site

Full-time

Posted 14 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading consulting firm, and they are seeking a Lead Full-stack Software Engineer to engage in high-visibility projects. The role involves delivering solutions that drive value for Deloitte's business while collaborating with cross-functional teams to design, develop, and deploy advanced software solutions.
Responsibilities:
• Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.
• Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support.
• Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.
• Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
• Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.
• Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.
• Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning.
• Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.
• Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.
• Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.
Qualifications:
Required:
• A bachelor's degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor.
• 5+ years of experience with multiple programming languages such as NodeJS, Python, C#, .NET Core, Golang, SQL/NoSQL, React, as well as unit testing frameworks.
• 5+ years of experience with cloud-native engineering, using FaaS, PaaS, and micro-services on cloud hyperscalers such as Azure, AWS (mandatory), or GCP.
• 5+ years of hands-on experience with Amazon cloud-native services (e.g., MSK, SNS/SQS, Lambda, Step Functions, Glue, Aurora, RDS, DynamoDB, S3, Athena).
• 1+ years of experience with AI/ML and GenAI.
• Ability to travel 10%, on average, based on the work you do and products you build.
• Limited immigration sponsorship may be available.
Preferred:
• Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations.
• Prior experience using methodologies & tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high-quality products rapidly.
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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