Private investment risk associate / senior associate
The Associate/Senior Associate role will join Neuberger Berman’s Investment Risk group in our New York office, supporting independent risk oversight for the firm’s Equity, Fixed Income, Alternatives, and Multi-Asset Class strategies. This role is integral to the Private Wealth Investment Risk team, focusing on risk measurement, attribution, and analysis for a range of portfolio management teams. You will contribute to the development and maintenance of regular and ad hoc risk reports, assist in solving real-world risk management problems, and translate academic or industry research into actionable strategies. The ideal candidate will have a strong quantitative background, proficiency in Python and SQL, a strong interest in financial markets, and outstanding analytical and communication skills. This is an excellent opportunity to work in a fast-paced, collaborative environment and gain hands-on experience in investment risk analytics.
Responsibilities- Provide day-to-day coverage and analysis of the investment strategies across fixed income and equity for portfolio management teams.
- Maintain and run, both, regular and ad hoc risk and analytics reports across asset classes.
- Perform ex-ante and ex-post portfolio risk, performance and attribution analysis, including scenario analysis and back testing as needed
- Prepare presentation materials for reviews with portfolio managers, senior management and the firm’s Investment Risk Committee.
- Collaborate closely with portfolio managers and other members of the investment risk team on any findings on risk analytics.
- Solve complex risk management challenges in a largely autonomous fashion while collaborating with team members.
- Translate academic research and industry developments (buy-side research) into practical data driven insights that are implementable and actionable.
- Stay up to date on academic finance research and developments and present findings to team members.
- 3-5+ years of experience in a quantitative, analytical, or risk-focused role within financial services, asset management or wealth management.
- Expertise in risk and attribution modeling techniques for equity and fixed income is required.
- Previous use and working knowledge of the industry’s standard performance attribution and risk models such as Aladdin, Barra, Factset or Bloomberg PORT is expected.
- Excellent analytical, verbal, and written communication skills, with the ability to clearly convey complex findings to both technical and non-technical audiences.
- Proficiency in Python Programming and SQL is required.
- Bachelor’s or master’s degree in quantitative fields like Engineering, Econometrics, Computer Science, Applied Mathematics, Statistics, or similar.
- Familiarity with risk management and risk statistics, including concepts such as risk decomposition, factor exposure and stress testing, is a plus.
- Extremely goal-oriented and a true team player. The highest integrity relates to corporate standards and compliance.
- Progress towards professional certifications such as FRM, CFA, CAIA or similar is a plus.
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