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EMPLOYER: Neuberger Berman Group LLC
TITLE: Insurance Strategy & Analytics Associate
LOCATION: Chicago IL (A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite in accordance with company policies.
DUTIES: Develop an infrastructure of analytical/quantitative capabilities to support business development efforts with insurance clients. Develop private equity stochastic model to generate the stochastic projections of Net Asset Value development and cash flows of diversified private market portfolios with varying levels of confidence by using Monte Carlo simulations. Extract useful information from historical data and unveil the intrinsic correlations among different fund types. Discover the most appropriate methodologies to model the behavior of different assets i.e. Primaries Coinvestment Secondary and Private Debt. Build a back solving tool to generate the commitment plan based on the various requirements on the outputs (Net Asset Value Liquidity Buffer Ratio). Design and implement a userfriendly interface in Excel using Excel and VBA programming. Add new functions to the peer analysis model which performs highlevel comparison of key characteristics (general account size asset breakdown expected return duration OAS OASD) between the client and their peers. Implement knearest neighbors algorithm (kNN a popular machine learning technique) to perform company classification to help identify the best peers. Implement and compare principal component analysis (PCA) and probabilistic principal component analysis (PPCA) while performing classification. Develop bond migration model to generate the stochastic projections of bond rating change over time with varying levels of confidence. Apply time series analysis and copula methodology from probability theory to extract the intrinsic correlation on the performance of bonds with different ratings. Generate a set of model portfolios built around the clients liability characteristics and optimized to achieve clients stated longterm investment objectives. Do tail risk analysis the clients exposure to a market crash and unveil which activities particularly contribute to the tail risk exposure. Produce thought leadership by developing materials for industry presentations and white papers. Support institutional client coverage and portfolio management with input into the efficacy of various traditional and alternative investment strategies in an insurance company investment frame. Take the initiative in identifying and discussing relevant market regulatory and industry issues with key clients on a proactive basis. Work with investment and distribution teams to prepare and deliver relevant analytics and maintain client dialogue.
REQTS: Must have a Masters degree or foreign equivalent in Finance Financial Engineering Operations Research or a related field plus three 3 years of experience in the asset management industry in the position offered or as a Quantitative Analyst or a related position. Must have three 3 years of experience with all of the following: Providing strategic investment advice to global insurance clients and prospects including specifying managing and communicating the results of strategic asset allocation considering regulatory accounting and rating agency constraints and liability structure of insurance companies; Implementing portfolio optimization and Monte Carlo Simulations for performance projections and tail risk analysis using Python and R; Conducting research about insurance regulations for different regimes and implementing the rules in the portfolio optimization process; Providing investment strategies and monitoring portfolio performance for global institutional investors including global insurance companies pension funds and family offices; Performing statistical analysis on large data sets utilizing statistical modeling machine learning and financial engineering methodology to address clients specific investment needs and objectives; Building Excel based data visualizations and Graphic User Interfaces (GUIs) utilizing VBA and Python; and Building and enhancing stochastic projection models to analyze private market investment strategies including leverage buyout venture capital coinvestment secondaries and private credit.
HOURS: FullTime; MonFri 40 hrs/week)
SALARY: $130000 $130000 per year
TO APPLY: Applicants should click Apply here or email resume to Neuberger Berman Recruiting team at and reference Job # Rin the subject line. EOE/M/F/D/V.
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Compensation Details
The salary range for this role is $130000$130000. 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 employees 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 revenuebased 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.Neuberger Berman 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 .
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Full-Time