Quantitative Analyst/Associate - Investment Risk

Description The Quantitative Analyst/Associate 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 Multi-Asset Class Investment Risk team, focusing on risk measurement, attribution, and analysis for a range of portfolio management teams. The role also covers regulatory Liquidity Risk monitoring for the firm’s 1940-Act mutual funds, along with supporting other Liquidity Risk functions more broadly across the firm. 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 and liquidity analytics. Responsibilities:

• Provide day-to-day coverage and analysis of the investment strategies across asset classes for portfolio management teams. For Multi-Asset Class strategies, this will also include developing an understanding of the underlying Equity, Fixed Income and Alternative investments within the broader accounts
• Maintain and run, both, regular and ad hoc risk, analytics and liquidity reports
• Collaborate with and support investment, products, and operations teams on risk, performance analytics and liquidity issues
• Perform ex-ante and ex-post portfolio risk, performance and attribution analysis, including scenario analysis and back testing as needed
• Monitor regulatory liquidity risk requirements and assist with liquidity projects (i.e., model liquidity profiles for new funds/ETFs and new asset types)
• Prepare presentation materials for reviews with portfolio managers, senior management and the firm’s Investment Risk and Liquidity Committees
• 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 Qualifications:
• Master’s degree preferred, in a quantitative field such as Engineering, Econometrics, Computer Science, Applied Mathematics, Statistics, or a related discipline; or a bachelor’s degree combined with equivalent relevant experience
• 2–4 years of experience in a quantitative, analytical, or risk-focused role within financial services or asset management
• Strong interest in financial markets and willingness to learn on the job
• Proficiency in Python Programming and SQL required; experience with Tableau is a plus
• Familiarity with risk management and risk statistics, including concepts such as risk decomposition, factor exposure, stress testing, liquidity profiles and classifications is a plus
• Excellent analytical, verbal, and written communication skills, with the ability to clearly convey complex findings to both technical and non-technical audiences
• Extremely goal-oriented and a true team player. The highest integrity relates to corporate standards and compliance
• Exposure to industry's standard risk models/platforms such as Aladdin, Barra, FactSet, and Bloomberg PORT is a plus
• Progress towards professional certifications such as FRM, CFA, CAIA or similar is a plus LI-Hybrid LI-MB1 Compensation Details The salary range for this role is $105,000-$125,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employee’s pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs. This job is also eligible for a discretionary bonus, which, along with base salary and retirement contributions, is part of our total comprehensive package. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), life insurance and other benefits to eligible employees.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission

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