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7 дней назад

Quantitative Strategist (AI)

115 000 - 180 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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