7 дней назад
Quantitative Strategist (AI)
115 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Strategist (AI) (Machine Learning/Risk Analytics): Building quantitative models, fraud detection systems, and risk management tools for wealth management with an accent on machine learning, statistical analysis, and portfolio analytics. Focus on developing AI-led solutions, maintaining analytical infrastructure, and solving complex financial and non-financial risk problems across multiple asset classes.
Location: New York, NY, United States
Salary: $115,000–$180,000 base salary per year, plus potential discretionary bonus.
Company
is a global investment banking, securities, and investment management firm providing wealth management, financial planning, investment management, banking, and digital financial solutions.
What you will do
- Develop and deploy machine learning models for fraud and anomaly detection.
- Deliver risk metrics and quantitative analytics across wealth management.
- Build AI-led solutions to improve the efficiency and accuracy of risk management.
- Build and maintain systematic risk management, reporting, portfolio analysis, and analytical infrastructure tools.
- Collaborate with risk management, fraud strategy, portfolio management, and other teams on investment and risk strategies.
Requirements
- Bachelor’s, master’s, or Ph.D. in mathematics, physics, quantitative finance, computer science, engineering, or another quantitative field.
- 1–3 years of experience in quantitative financial modeling, software development, or a related position.
- Strong programming, mathematical, statistical, problem-solving, and communication skills.
- Experience with Python, Pandas, NumPy, Scikit-learn, Spark, relational databases, and SQL.
- Experience with time-series and regression analysis, object-oriented programming, prompt engineering, LLM models, and MCP.
- Position based in New York, NY, United States.
Nice to have
- Strong understanding of machine learning algorithms such as gradient boosting decision trees and random forests.
Culture & Benefits
- Training and professional development opportunities.
- Firmwide professional networks and diversity and inclusion initiatives.
- Benefits, wellness, personal finance, and mindfulness programs.
- US benefits are generally available to eligible active, non-temporary full-time and part-time employees working at least 20 hours per week.
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