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

Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), backed by ... Proven ability to mentor peers, explain complex trade-offs to leadership, and drive consensus ...

Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), backed by ... Proven ability to mentor peers, explain complex trade-offs to leadership, and drive consensus ...

... remote We are looking for a talented Engineering Manager and player/coach to lead one of our ... Experience with modern Python frameworks and technologies, such as Django, FastAPI, Flask ...

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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:
Principal Data Analyst- Capital Markets

Principal Data Analyst- Capital Markets

Citizens

Westwood, MA • On-site, Remote

$140K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


Job description

The Principal Data Analyst will serve as the Capital Markets Data & Analytics lead for Citizens Bank. This colleague will be responsible for designing, building, and operationalizing advanced analytics capabilities that power intelligence features for  Capital Markets bankers. This role sits at the intersection of data engineering, applied analytics, and product development-ensuring Capital Markets insights are deeply integrated into Banker facing capabilities.

The ideal candidate is a strategic, highly technical analytics professional capable of navigating complex data environments, translating business needs into scalable analytical assets, and partnering closely with product, engineering, and business stakeholders.

Key Responsibilities

Capital Markets Data Leadership

  • Own the endtoend analytical design for Capital Markets use cases (e.g., Debt Capital Markets, Equities Capital Markets, M&A Advisory and Global Market products )
  • Lead data exploration, profiling, and harmonization across multiple internal data sources (pipeline, pricing, positions, linelevel trades, customer exposures).
  • Develop a deep understanding of Capital Markets business processes, revenue drivers, and client engagement workflows.

Advanced Analytics & Feature Development

  • Design highquality, productionready data transformations and analytical layers used by machine learning, agentic and generative AI solutions.
  • Partner with modelers and data scientists to operationalize advanced models (e.g., propensity models, anomaly detection, revenue forecasting). 
  • Ensure Capital Markets analytics integrate seamlessly with core Capital Markets Data Infrastructure. 
  • Provide inputs and guidance into design and build of curated data model for Capital Markets data infrastructure including internal and market data sources. 
  • Translate analytical outputs into consumable banker facing insights, narratives using ML explainability and business domain.
  • Define and enforce data standards, data quality checks, lineage, and issueresolution processes for Capital Markets data domains. 
  • Build analytical features that support Banker intelligence: crosssell predictions, deal propensity, riskadjusted returns, volatilitydriven customer triggers, liquidity and ratesensitivity indicators.
  • Partner with Data Engineering and Governance teams to ensure compliance with regulatory and audit requirements.
  • Serve as primary analytical partner to Capital Markets product leaders, deal teams, and sales managers.
  • Collaborate with Engineering, Product, Digital, and Enterprise Data teams to prioritize work, define requirements, and build scalable components
  • Communicate analytical insights and design recommendations to senior leadership.

Required Qualifications

  • 7-10+ years of experience in data analytics, data product development, or applied quantitative roles.
  • Deep familiarity with Capital Markets data structures and product sets ((e.g., Debt Capital Markets, Equities Capital Markets, M&A Advisory and Global Market products )
  • Strong SQL and Python skills; experience with cloud data platforms (Snowflake, AWS, Databricks).
  • Demonstrated experience building complex analytical datasets and supporting AI/ML pipelines.
  • Ability to translate ambiguous business problems into concrete analytical requirements and deliverables.
  • Exceptional communication skills with ability to interface with both technical and executive audiences.
  • Prior experience in Investment Banking or Capital Markets analytics environment.

Preferred Qualifications

  • Experience supporting AI/ML products, market data (e.g. Bloomberg, Factset, Pitchbook etc). 
  • Familiarity with CRM systems, banker workflows, and RM enablement tools.
  • Experience integrating analytics into SaaS, cloud, or microservicesbased platforms.

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: Monday - Friday
  • Hybrid: 4 days per week on-site, 1 day remote

Pay Transparency

The salary range for this position is $140,000-$170,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits .

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Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Equal Employment and Opportunity Employer

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Background Check

Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.