11 дней назад
Quantitative Strategist, Global Banking & Markets, Marquee Portfolio Analytics
150 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Strategist, Global Banking & Markets, Marquee Portfolio Analytics (Fintech/Quantitative Engineering): Building scalable portfolio analytics platforms for factor risk modeling, performance attribution, and portfolio optimization with an accent on quantitative model development, real-time calculation environments, and financial data engineering. Focus on leading engineering teams, translating institutional client needs into production features, and ensuring analytical system accuracy and performance under fast-moving market conditions.
Location: New York, NY, United States
Base salary: $150,000–$300,000 per year, plus potential discretionary bonus.
Company
operates Marquee, a digital platform providing institutional clients with analytics, risk management, execution, and developer tools.
What you will do
- Design, implement, and scale quantitative frameworks for factor risk modeling, portfolio attribution, and portfolio construction and optimization.
- Develop scalable data models and real-time calculation environments for quantitative strategies and performance validation.
- Manage and mentor a global engineering team across multiple regions and time zones.
- Explain quantitative concepts and technical architectures to senior stakeholders, sales and trading teams, and institutional clients.
- Translate commercial opportunities and client feedback into production features with Product Management, UX Design, and Core Engineering.
- Apply CI/CD, comprehensive testing, and code reviews to maintain system stability, performance, and accuracy.
Requirements
- Master’s or PhD in Financial Engineering, Computer Science, Mathematics, Physics, Statistics, or a related quantitative discipline.
- At least 5 years of experience in quantitative research, quantitative engineering, or financial modeling, with senior-level experience.
- Advanced knowledge of financial markets, especially equity markets, factor risk modeling, portfolio attribution, and portfolio optimization.
- Expert proficiency in multiple programming languages, with Python and Java preferred.
- Experience managing, mentoring, and scaling engineering talent across global locations and time zones.
- Strong communication skills for presenting quantitative insights to institutional clients and collaborating with front-office teams.
Nice to have
- Experience with AWS or other cloud infrastructure.
- Experience with distributed computing frameworks and modern API design.
- Background in fintech or institutional investment platforms.
Culture & Benefits
- Collaborative environment focused on technical excellence, continuous learning, and delivery.
- Opportunity to work with global engineering teams and institutional clients.
- Competitive benefits and wellness offerings for eligible US employees.
- Potential discretionary bonus for active employees at fiscal year-end.
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