4 часа назад
Lead Software Engineer (Quantitative Investment)
90 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Software Engineer (Quantitative Investment): Building and evolving quantitative portfolio and research infrastructure for systematic investment workflows with an accent on Python, object-oriented design, data integration, and portfolio analytics. Focus on designing scalable systems for portfolio construction, optimization, rebalancing, risk analysis, time-series data correctness, and interoperability between legacy and modern platforms.
Location: Boston, MA, United States; hybrid schedule with four days in the office and flexibility to work remotely one day per week.
Base salary: USD 90,000–180,000 per year, plus potential variable compensation and benefits.
Company
is an independent investment management firm serving institutional clients and mutual fund sponsors across global capital markets.
What you will do
- Partner with Portfolio Managers and Quantitative Researchers to support systematic investment workflows.
- Design and implement software for portfolio construction, optimization, rebalancing, and risk analytics.
- Modernize quantitative platforms and build shared time-series and factor data services.
- Integrate internal and third-party datasets with accurate back-testing and point-in-time analysis.
- Contribute to research and production environments, CI/CD, environment standardization, and operational practices.
- Participate in architecture discussions, code reviews, documentation, and technical standards-setting.
Requirements
- 5–10 years of professional experience as a software engineer, quantitative developer, or in a similar role.
- Professional experience with Python and an object-oriented language such as C#, C++, or Java.
- Strong software engineering fundamentals, including Git, testing, documentation, logging, and code reviews.
- Experience designing APIs, services, or shared libraries used by multiple consumers.
- Experience with AWS, Azure, or another cloud environment, plus Microsoft SQL Server.
- Experience with complex datasets and analytical workflows; familiarity with time-series data, numerical computation, and data modeling.
Culture & Benefits
- Collaborative environment built around independent research, transparency, correctness, and continuous improvement.
- Flexible hybrid work model with regular in-person collaboration.
- Retirement plan, health, dental, vision, pharmacy, HSA, and FSA coverage.
- Life and disability insurance, employee assistance, adoption assistance, backup childcare, and commuter program.
- Tuition and CFA reimbursement, paid holidays, sick leave, vacation time, and other paid time off.
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