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Neuberger Berman

Independent, employee-owned investment management

Solutions Associate

Quantitative RiskPosted on Nov 11
Full-timeNew York, NY, USA

About the Job

Requirements

  • A Master's degree or foreign equivalent in Finance or a related field and two years of experience in the offered position, as a Financial Analyst, or a related position; alternatively, a Bachelor's degree or foreign equivalent in Finance or a related field and four years of such experience.
  • Two years of experience (or four years with a Bachelor's degree) providing strategic asset allocation recommendations and monitoring portfolio performance while incorporating regulatory, accounting, rating-agency, multi-strategy, and liability-hedging constraints for global institutional investors.
  • Two years of experience (or four years with a Bachelor's degree) conducting top-down and bottom-up insurance investment research, including asset-liability management for onshore and offshore portfolios, industrial data analysis, risk dashboard construction, and multi-asset portfolio management for global insurance clients.
  • Two years of experience (or four years with a Bachelor's degree) researching insurance regulations across regimes and encoding applicable rules within portfolio-optimization and capital-efficiency frameworks.
  • Two years of experience (or four years with a Bachelor's degree) implementing portfolio optimization and Monte Carlo simulation for performance projections and tail-risk analysis using Python and R.
  • Two years of experience (or four years with a Bachelor's degree) performing statistical analysis on large financial datasets using statistical modeling, machine learning, and financial-engineering methods to address client-specific investment needs and objectives.
  • Two years of experience (or four years with a Bachelor's degree) building automatic web-scraping and Excel-based data-visualization and graphical user interfaces using JavaScript, VBA, Matplotlib, Seaborn, and Plotly.
  • Two years of experience (or four years with a Bachelor's degree) using version control platforms, including GitHub and Azure, to manage pull requests, integrate functionality into existing modeling infrastructure, and conduct peer code reviews.

Responsibilities

  • Create and enhance quantitative platforms for clients and portfolio managers by building scalable tools for strategic asset allocation, risk management, and insurer and pension needs.
  • Develop portfolio-construction analytics and decision-support tools by modeling private-fund and vehicle behavior and applying ESG and climate scenario analysis, including Climate VaR, to help portfolio managers and sales teams build portfolios aligned with NAV, liquidity, capital usage, surplus, and other customized objectives.
  • Support insurance and pension initiatives by using machine learning to expand models covering asset mix, portfolio analytics, risk and return, and capital metrics.
  • Support client engagements on strategic portfolio management, asset allocation, and related topics for institutional and intermediary clients, and present on those topics.
  • Monitor market developments for insurance and pension clients, independently validate data and methodology, and deliver thematic insights to senior internal and external stakeholders.
  • Serve as a resource for company personnel and clients on RBC, ERISA, GAAP, IFRS, BCAR, BSCR, Solvency II, and other insurance and pension regulations and accounting regimes that affect portfolio management.
  • Integrate regulatory and capital constraints into portfolio construction and deliver client-specific analytics on net investment income, realized gains and losses, and income volatility to assess capital efficiency across US, EMEA, and APAC insurers.
  • Develop materials for presentation at insurance and actuarial conferences and represent the firm at those conferences by presenting on insurance trends, private-market modeling, capital markets, and ESG.
  • Work with investment and distribution teams to structure investment products, deliver relevant analytics, and maintain client dialogue.
  • Guide analysts by coordinating workstreams, providing technical feedback, performing code reviews, and approving capital-market reports, model outputs, and client materials for accuracy and consistency.
  • Mentor and evaluate interns by scoping research, defining methodology and implementation, and converting findings into reusable models.
  • Develop quantitative investment analytics by building stochastic projection models for private-markets NAV and cash flows and constructing forward-looking capital-market assumptions for expected returns, volatility, and correlations across asset classes using Bayesian and building-block methods.

About the Company

Neuberger Berman

Independent, employee-owned investment management

Neuberger Berman is a private, independent, employee-owned investment management firm that manages a broad range of assets for institutions, advisors, and individuals worldwide, including equities, fixed income, private equity, and hedge funds. Its products work by actively managing client assets across multiple strategies, earning revenue from management and performance-based fees. The firm emphasizes a hybrid network model with in-house professionals and a broad advisor network, and it operates a notable private equity platform with co-investment capabilities. ESG principles are integrated into its investment approach. The company differentiates itself through its employee-ownership alignment, long-term investment perspective, a sizeable private equity/co-investment program, and a global network. Its goal is to grow client assets and outcomes by aligning the firm’s interests with those of its clients and expanding its investment offerings through partnerships and acquisitions.

Company size
Not listed
Company stage
Not listed
Total funding
$13.1B
Headquarters
New York City, New York
Founded
1939

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