Solutions Associate

Neuberger Berman Services; New York (NY); Hybrid; USD 111,000 - 135,000; Full time

Job summary

Neuberger Berman Group LLC in New York seeks a Solutions Associate to build scalable analytics for asset allocation, risk management, and insurer/pension clients. You will model private markets, perform ESG scenario analysis, and support client engagements with market intelligence and regulatory insights.

The role requires advanced finance degrees, strong programming in Python/R, and experience with portfolio optimization. Hybrid schedule available within commutable distance of NYC.

Qualifications

• Providing strategic asset allocation recommendations and monitoring portfolio performance with regulatory and accounting constraints.
• Insurance investment research including ALM and risk dashboards for multi-asset portfolios.
• Implementation of portfolio optimization and Monte Carlo projection using Python and R.
• Building data-visualization interfaces using JavaScript, VBA and Python visualization libraries.

Responsibilities

• Create and enhance quantitative platforms for clients and portfolio managers.
• Develop portfolio construction analytics and decision-support tools for asset allocation and risk management.
• Present insights in client engagements and develop market intelligence for insurance and pension clients.
• Mentor interns, coordinate workstreams, and perform code reviews to ensure accuracy.

Education

Master's degree in Finance or related field

Bachelor's degree in Finance or related field

Tools

Python

R

JavaScript

VBA

Matplotlib

Seaborn

Plotly

GitHub

Job description

EMPLOYER

Neuberger Berman Group LLC

TITLE

Solutions Associate

LOCATION

New York, NY (A hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with company policies.)

DUTIES

Create and enhance quantitative platforms for clients and portfolio managers by building scalable tools for strategic asset allocation, risk management, and insurer/pension. Develop portfolio construction analytics and decision-support tools by modeling private fund and vehicle behavior and applying ESG/climate scenario analysis, including Climate VaR, to help PMs and sales 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 on asset mix, portfolio analytics, risk/return, and capital metrics. Support in client engagements relating to strategic portfolio management, asset allocation, and related topics for institutional and intermediary clients. Present on these topics in client engagements. Provide market intelligence for insurance and pension clients by monitoring market developments, independently validating data/methodology, and delivering thematic insights to senior internal and external stakeholders. Serve as a go-to resource for company personnel and clients on RBC, ERISA, GAAP, IFRS, BCAR, BSCR, Solvency II and other relevant insurance and pension regulations and accounting regimes that impact portfolio management. Integrate regulatory/capital constraints into portfolio construction to deliver client-specific analytics on net investment income, realized gains/losses, and income volatility to assess capital efficiency across US, EMEA, and APAC insurers. Develop materials for presentation at insurance/actuarial conferences. Represent the firm at insurance/actuarial conferences by presenting on themes such as insurance trends, private market modelling, capital markets, and ESG. Work with investment and distribution teams to structure investment products, deliver relevant analytics, and maintain client dialogue. Guide analysts with coordinating workstreams, providing technical feedback, performing code reviews, and signing off on 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.

REQTS

Must have a Master's degree or foreign equivalent in Finance or a related field plus two (2) years of experience in the position offered, as a Financial Analyst, or a related position. In the alternative, employer will accept a Bachelor's degree or foreign equivalent in Finance or a related field and four (4) years of experience in the position offered, as a Financial Analyst, or a related position. Must have two (2) years of experience ( or four [4] years with a Bachelor's) with all of the following: Providing strategic asset allocation recommendations and monitoring portfolio performance incorporating regulatory, accounting, and rating-agency constraints, multi-strategy considerations, and liability hedging objectives for global institutional investors, including insurance companies, pension funds, endowments, foundations, and family offices; Conducting top-down and bottom-up insurance investment research, including asset-liability management (ALM) for onshore and offshore portfolios, industrial data analysis, risk dashboard construction, and multi-asset portfolio management across global insurance clients; Researching insurance regulations for different regimes and encoding the relevant rules within portfolio-optimization and capital-efficiency frameworks; Implementing portfolio optimization and Monte Carlo simulation for performance projections and tail-risk analysis using Python and R; Performing statistical analysis on large financial data sets using statistical modeling, machine learning, and financial-engineering methods to address client-specific investment needs and objectives; Building automatic web-scraping and Excel-based data-visualization and graphical user interfaces using JavaScript, VBA, and the Python visualization libraries Matplotlib, Seaborn, and Plotly; and Leveraging version control platforms, including GitHub and Azure, to manage pull requests, integrate new functionality into existing modeling infrastructure, and conduct peer code reviews.

HOURS

Full-Time; Mon-Fri (40 hrs/week)

SALARY

$123,000 - $123,000 per year