7 дней назад
Quantitative Trading Developer (Python)
95 500 - 137 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Trading Developer (Python): Turning quantitative trading research, models, and analytics into reliable production systems with an accent on scalable services, data pipelines, APIs, and production resilience. Focus on integrating large datasets, building data-quality monitoring, automating trading workflows, and improving testing, CI/CD, and failure handling.
Location: Boston, United States; hybrid work environment with remote and onsite work
Base salary: $95,500–$137,500 per year, plus eligibility for a competitive incentive bonus.
Company
is an investment management company supporting individuals and institutions in building more secure and prosperous financial futures.
What you will do
- Partner with quantitative trading strategists to move research models and analytical prototypes into production.
- Design architecture for integrating models, datasets, and analytics into the existing trading platform.
- Build and maintain scalable data pipelines, REST APIs, and services for trading analytics and automated trading workflows.
- Improve service resilience through dependency management, fallback logic, failure handling, monitoring, and alerting.
- Develop data-quality controls, testing frameworks, and automation for research production and execution workflows.
- Contribute to code reviews, deployments, CI/CD practices, and the maintainability of the platform.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or another technical discipline, or equivalent practical experience.
- 4+ years of production software development experience, preferably in a data-intensive or quantitative environment.
- Strong Python software engineering skills and experience building maintainable applications.
- Knowledge of software design, testing, packaging, version control, and CI/CD.
- Experience with REST APIs, SQL, Unix/Linux, Git, Docker, and systems handling large structured and unstructured datasets.
- Ability to work independently, identify problems, propose pragmatic solutions, and collaborate with traders, researchers, and technology partners.
Nice to have
- Experience with KDB+/q, KX Insights, or Microsoft Azure.
- Experience in financial markets, equity or fixed income trading, market structure, or transaction cost analysis.
- Willingness to travel internationally occasionally.
Culture & Benefits
- Hybrid remote and onsite work environment.
- Competitive incentive compensation based on individual and company performance.
- Retirement contribution equal to 15% of base salary, separate from the company-sponsored 401(k).
- Education assistance, tuition reimbursement, and access to discounted tutors and college coaches.
- Generous paid time off, fully paid maternity, parental, and caregiver leaves, and medical and dental plan options.
- Health Savings Account contributions, commuter benefits, flexible spending accounts, wellness programs, and mental health support.
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