Quantitative Risk Analyst, Private Wealth (Hybrid NY)

LGBT Great; New York (NY); Hybrid; USD 95,000 - 110,000; Full time

Job summary

Neuberger Berman is an independent, employee-owned global asset management firm seeking a Quantitative Risk Analyst for its New York office within the Private Wealth Investment Risk team. The role focuses on risk measurement, attribution, and analysis across multiple strategies.

Ideal candidates have 1–2 years in a quantitative role, strong Python and SQL skills, and an interest in risk management and AI-enhanced analytics for portfolio insights.

Qualifications

• 1–2 years of experience in a quantitative role, ideally in risk, portfolio analytics, or a related buy-side function.
• Required: Python programming and SQL experience.
• Preferred: risk management and risk statistics knowledge, including familiarity with risk decomposition, factor exposure and stress testing.

Responsibilities

• Work as an integral part of the Private Wealth Investment Risk team covering several strategies/portfolio management teams.
• Maintain and run regular and ad hoc risk and performance analytics reports; support teams across the firm.
• Translate academic and buy-side research into risk models, analytics, and methodologies.
• Perform ex-ante and ex-post portfolio risk analysis, performance attribution, stress tests, and back tests.
• Prepare materials for reviews with portfolio managers, senior management, and the Investment Risk Committee.
• Solve real-world risk management problems autonomously while collaborating with team members.

Skills

Python

SQL

Risk management

Education

Bachelor’s or Master’s Degree in a quantitative field

Job description

Neuberger Berman is an independent, employee-owned global asset management firm seeking a Quantitative Risk Analyst for its New York office within the Private Wealth Investment Risk team. The role focuses on risk measurement, attribution, and analysis across multiple strategies.

Ideal candidates have 1–2 years in a quantitative role, strong Python and SQL skills, and an interest in risk management and AI-enhanced analytics for portfolio insights.