9 дней назад
Quantitative Strategist, Global Banking & Markets, Client Analytics (AI)
150 000 - 225 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Strategist, Global Banking & Markets, Client Analytics (AI) (Java/Python, Quantitative Finance): Building scalable analytics platforms, data systems, and quantitative models for Prime Brokerage with an accent on client portfolio analysis, market and hedge fund trend tracking, and equity/FICC factor research. Focus on developing macroeconomic models, solving complex quantitative problems, and communicating analytical strategies as a client-facing Subject Matter Expert.
Location: New York, NY, United States; onsite office position.
Salary: $150,000–$225,000 annual base salary, plus potential discretionary bonus.
Company
is a global financial services firm with a Prime Brokerage business within its Global Banking & Markets division.
What you will do
- Build scalable data analytics systems, platforms, and quantitative models for Prime Brokerage.
- Track market and hedge fund trends and conduct deep-dive analyses across client portfolios.
- Research and implement equity and FICC factor models, macroeconomic models, and related analytics.
- Identify business opportunities and support data-driven client franchise and revenue decisions.
- Serve as a client-facing Subject Matter Expert, presenting complex quantitative strategies and technical insights.
- Collaborate with Sales, Trading, senior management, clients, and colleagues across the firm.
Requirements
- BS, MS, or PhD in Applied Mathematics, Data Science, Engineering, Physics, Finance, or a related field.
- At least 2 years of professional experience in quantitative analysis, analytics, or financial technology.
- Strong programming skills in Java, Python, or an equivalent language.
- Excellent written and verbal communication skills for direct client interaction and detailed presentations.
- Ability to work across multiple projects, demonstrate initiative, and deliver results quickly in a high-pressure environment.
- Familiarity with AI tools for research optimization, workflow automation, or software development.
Nice to have
- Knowledge of portfolio construction, risk models, factor analytics, positioning, and flows metrics.
- Experience with Equity or FICC asset classes and large datasets.
- Knowledge of probability, machine learning techniques, and modern artificial intelligence frameworks.
Culture & Benefits
- Entrepreneurial role with direct impact on key revenue streams.
- Global, cross-functional working environment involving Sales, Trading, management, and clients.
- Competitive benefits and wellness offerings for eligible US employees.
- Potential discretionary bonus for active employees at fiscal year-end.
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