Solutions Associate

LGBT Great; New York (NY); Hybrid; USD 111,000 - 135,000; Full time

Job summary

Neuberger Berman Group LLC invites a Solutions Associate to design and enhance quantitative platforms for clients and portfolio managers in a hybrid New York setting. You will build scalable tools for asset allocation, risk management, and insurer/pension analytics.

The role emphasizes portfolio construction analytics, ESG/climate scenario analysis, and presenting insights to clients. Strong Python/R skills, and ML experience for capital management tasks are valued as you mentor analysts and

Qualifications

• Master’s degree in Finance or related field with 2 years of experience
• Bachelor’s degree in Finance with 4 years of experience as Financial Analyst or related position
• Experience providing strategic asset allocation recommendations for global institutional investors (insurance, pensions, endowments, etc.)
• Experience in insurance investment research and ALM for onshore/offshore portfolios
• Proficiency in portfolio optimization, Monte Carlo simulation, Python and R

Responsibilities

• Create and enhance quantitative platforms for clients and PMs
• Develop portfolio construction analytics and decision-support tools
• Model private fund and vehicle behavior; apply ESG/climate scenario analysis
• Support insurance and pension initiatives using ML to expand models
• Present on portfolio management topics in client engagements

Skills

Strategic allocation

Insurance ALM research

Monte Carlo simulation

Python & R

Machine learning

Education

Master’s degree in Finance

Bachelor’s degree in Finance

Tools

Python

R

Excel

GitHub

Azure

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

Applicants must be authorized and have the right to work in the country where the role is located without the need for current or future sponsorship.

Compensation Details

The salary range for this role is $123,000-$123,000. 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, retirement, 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, production, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Neuberger is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact [e-mail].

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