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Remote Python Trading Jobs in Brighton, MA (NOW HIRING)

Senior Platform Engineer

Cambridge, MA · Remote

$120K - $200K/yr

Fully remote (HQ Cambridge, MA) Hours: 9-5 EST, with 2-day on-site visits every 6 weeks You'll be ... Explain technical concepts and trade-offs clearly to engineers and non-engineers. * Troubleshoot ...

Senior Data Modeler I

Boston, MA · On-site +1

$90K - $130K/yr

Experience with real world data analysis in Python or R. * Participation in professional ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Sr. Data Engineer

Boston, MA · On-site +1

$10K/mo

Partner with Quantitative Trading Strategists to improve current platform capabilities and ... Experience with Python, KDB/Q or other programming languages with a focus on interfacing with high ...

... trade studies, and feasibility assessments. * Translate ambiguous problems into credible technical ... C/C++, Rust, Python, Verilog/VHDL, MATLAB, CUDA/OpenCL * Real-world edge computing or embedded ...

Senior Software Engineer

Boston, MA · On-site +1

$190K - $215K/yr

Required Qualifications: * 5+ years experience writing high-quality production software in Python ... Comfortability in navigating ambiguity, making trade-offs to deliver features today without ...

Senior Tools Programmer

Boston, MA · On-site +1

$118.80K - $217.80K/yr

Ability to articulate technical concepts, discuss trade-offs, and advocate for quality standards ... Remote roles in the US are only available to candidates that reside in the following states:

Ability to articulate technical concepts, discuss trade-offs, and advocate for quality standards ... Remote roles in the US are only available to candidates that reside in the following states:

Senior Tools Programmer

Boston, MA · On-site +1

$118.80K - $217.80K/yr

Ability to articulate technical concepts, discuss trade-offs, and advocate for quality standards ... Remote roles in the US are only available to candidates that reside in the following states:

Senior Software Engineer, DevOps

Boston, MA · On-site +1

$118.60K - $195.68K/yr

... trade-offs, roadmap progress, and architectural decisions to both technical and non-technical ... Experience with Python and bash programming. * Experience with Git * Experience with container ...

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Remote Python Trading information

See Brighton, MA salary details

$14

$63

$94

How much do remote python trading jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote python trading in Brighton, MA is $63.89, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $72.55 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Python Trading professional, and why are they important?

To thrive as a Remote Python Trading professional, you need strong proficiency in Python programming, quantitative analysis, and a solid understanding of financial markets, often supported by a relevant degree in finance, mathematics, or computer science. Experience with trading platforms, APIs, backtesting frameworks, and familiarity with libraries like pandas, NumPy, and scikit-learn are typically required. Analytical thinking, problem-solving, and effective remote communication are essential soft skills for success in this role. These skills enable the development of robust trading algorithms, effective risk management, and seamless collaboration in a distributed work environment.

What are some common challenges faced by remote Python trading developers, and how can they be addressed?

Remote Python trading developers often encounter challenges such as managing effective communication with distributed teams, ensuring code reliability in automated trading systems, and keeping up with rapidly evolving market requirements. To address these, it’s important to establish clear communication channels (such as daily stand-ups or regular check-ins), write well-documented and thoroughly tested code, and stay updated on current trading technologies and market regulations. Additionally, leveraging collaborative tools like version control systems and implementing robust monitoring for trading algorithms helps ensure both team alignment and system stability.

What is a Remote Python Trading job?

A Remote Python Trading job involves developing, maintaining, and optimizing trading algorithms or systems using the Python programming language, all while working remotely. Professionals in this role typically work for financial institutions, hedge funds, or fintech companies, analyzing market data, building automated trading strategies, and ensuring their code runs efficiently and securely. Strong programming skills in Python, knowledge of financial markets, and experience with trading platforms or APIs are essential. The remote nature of the job allows professionals to work from anywhere with a reliable internet connection.

What is the difference between Remote Python Trading vs Remote Quantitative Analyst?

AspectRemote Python TradingRemote Quantitative Analyst
Required CredentialsPython programming, finance knowledge, data analysis skillsMathematics, statistics, programming, finance or economics degree
Work EnvironmentFinancial firms, hedge funds, trading companiesFinancial institutions, investment firms, research organizations
Industry UsageHigh in trading and algorithm developmentHigh in risk modeling and quantitative research
Common Search/ComparisonYesYes

Remote Python Trading focuses on developing trading algorithms using Python, primarily in trading firms. Remote Quantitative Analysts work on financial modeling and risk analysis, often requiring similar skills but with a broader focus on quantitative research. Both roles involve programming and finance, but their core responsibilities differ in application and industry emphasis.

What cities near Brighton, MA are hiring for Remote Python Trading jobs? Cities near Brighton, MA with the most Remote Python Trading job openings:
Senior Platform Engineer

Senior Platform Engineer

ICONSTAFF

Cambridge, MA • Remote

$120K - $200K/yr

Full-time

Posted 19 days ago


Job description

Senior Platform/Infrastructure Engineer

Location: Fully remote (HQ Cambridge, MA)

Hours: 9–5 EST, with 2-day on-site visits every 6 weeks


You’ll be responsible for designing, scaling, and maintaining the infrastructure and internal developer platforms that power a real-time learning AI at a seed-stage startup. The role blends infrastructure ownership with platform engineering to enable AI/product teams to ship quickly and reliably.


Key Responsibilities - Infrastructure

  • Maintain production health: performance, reliability, cost efficiency, and security.
  • Manage GCP Kubernetes clusters (GKE), networking, storage, and compute resources.
  • Handle scaling, resource allocation, and high availability for growing customer demand.
  • Refine observability: logs, traces, metrics, dashboards, and alerts.
  • Perform security hardening and cost optimization.


Kep Responsibilities - Platform Engineering

  • Build internal tooling and abstractions for developer productivity.
  • Design CI/CD pipelines using GitHub Workflows and ArgoCD.
  • Provide self-service environments, internal portals, and deployment systems.


Collaboration & Communication

  • Work closely with AI and full-stack teams to optimize system architecture.
  • Explain technical concepts and trade-offs clearly to engineers and non-engineers.
  • Troubleshoot issues across multiple systems (Python, JavaScript, SQL).


Requirements

  • 5+ years in production cloud environments at scale.
  • Strong familiarity with GCP (primary) and some AWS experience.
  • Experience with Kubernetes (GKE), node pools, and memory-intensive jobs.
  • Working knowledge of CI/CD systems (GitHub Workflows + ArgoCD).
  • Exposure to observability tools (Datadog), databases (Cloud SQL, ClickHouse, Bigtable), and cloud services.


Skills & Qualities

  • Strong analytical and problem-solving ability.
  • Clear, collaborative communication.
  • Curiosity and ownership mentality.
  • Fluent in reading/debugging code across Python, JavaScript, SQL.


Technical Stack

  • Cloud: GCP (primary), AWS (secondary)
  • Kubernetes: GKE, multiple node pools
  • CI/CD: GitHub Workflows + ArgoCD
  • Data: Cloud SQL, ClickHouse, Bigtable, GCS, Dataflow
  • Networking: Cloudflare Workers, Durable Objects, WebSocket communication
  • Monitoring: Datadog
  • Environments: Production, Staging, Integration, Development