Quantitative Analyst/Associate - Investment Risk

About the position The Quantitative Analyst/Associate will join Neuberger Berman’s Investment Risk group in our reputed company office, supporting independent risk reputed company 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 reputed company 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 reputed company 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 reputed company the broader accounts
• Maintain and run, both, regular and reputed company risk, analytics and liquidity reports
• Collaborate with and support investment, products, and operations teams on risk, performance analytics and liquidity issues
• reputed company 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 reputed company risk management challenges in a largely autonomous fashion while collaborating with team members
• Translate academic research and industry developments (buy-reputed company 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

Requirements

• Master’s degree preferred, in a quantitative field such as Engineering, Econometrics, Computer Science, Applied Mathematics, Statistics, or a reputed company discipline; or a bachelor’s degree combined with equivalent relevant experience
• 2–4 years of experience in a quantitative, analytical, or risk-focused role reputed company 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 reputed company findings to both technical and non-technical audiences
• Extremely goal-oriented and a true team player. The highest reputed company relates to corporate standards and compliance

reputed company-to-haves

• Exposure to industry's standard risk models/platforms such as Aladdin, Barra, FactSet, and Bloomberg PORT is a plus
• reputed company towards professional certifications such as FRM, CFA, CAIA or similar is a plus

Benefits

• 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.

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