Live opening · Posted 7 hours ago

Asset & Wealth Management, Multi-Asset Solutions: Quantitative Research, Vice President - New York

Goldman Sachs · New York, NY, United States
Oracle
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At a glance

The key details from the original listing.

Posted 7 hours ago
CompanyGoldman Sachs
LocationNew York, NY, United States
SkillsWealth Management
SourceOracle
ListedPosted 7 hours ago

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About the role

Description supplied by the original job listing.

Asset & Wealth Management
A career with Goldman Sachs Asset & Wealth Management is an opportunity to help clients across the globe realize their potential, while you discover your own. As part of one of the world's leading asset managers with over $2 trillion in assets under supervision, you can expect to participate in exciting investment opportunities while collaborating with talented colleagues from all asset classes and regions, and building meaningful relationships with your clients. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. Bringing together traditional and alternative investments, Goldman Sachs Asset & Wealth Management provides clients around the world with a dedicated partnership and focus on long-term performance. As a primary investment area within Goldman Sachs, we provide investment and advisory services for pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals.
Multi-Asset Solutions
Multi Asset Solutions (MAS) is a multi-asset class investing group that sits within Asset & Wealth Management (AWM) at Goldman Sachs. It designs and develops comprehensive investment management solutions customized to meet the investment objectives for clients. These solutions bring together state-of-the-art techniques for multi-asset portfolio design and implementation and reflect proprietary research and analytics conducted by the MAS team. With investment professionals across the globe, MAS has invested or advised on multi-asset class mandates for some of the world’s leading corporations, sovereign wealth funds, pension plans, governments, financial institutions, endowments, foundations, family offices, RIAs and other wealth advisors
Role Overview
The successful candidate would become a member of the research team within MAS. The role combines investment judgment, quantitative modeling, programming, and communication to develop portfolio construction and asset allocation models for institutional clients. Projects span equities, fixed income, credit, currencies and alternatives, and may involve capital market assumptions, portfolio construction, risk analytics, macro scenario analysis, and implementation design. MAS Strat Researchers collaborate with portfolio managers, strategists, risk managers, technologists and senior leaders to develop research, evaluate portfolio trade-offs and support client asset allocation decisions. This role is highly analytical and detail oriented.
Core Responsibilities
The Strat Researcher will assume responsibility for development of quantitative methods in our asset allocation and tail risk management processes. Team members are given ample opportunity to devise creative solutions driven by novel analytical methods that drive our investment process forward. Areas of focus for the position are quantitative methods in portfolio construction, tail risk management and hedging. Emphasis is placed on integrating fundamental considerations with quantitative methods. To navigate the daily interactions with other MAS team members, clear and concise communication of the financial, business, and mathematical concepts under consideration is essential.
Basic Qualifications
Master’s degree or PhD in quantitative discipline.
4+ years of relevant experience in quantitative finance, investment research, asset allocation, portfolio construction, risk modeling or systematic investing.
Strong mathematical and analytical skills.
Desire and ability to create innovative solutions to commercial challenges.
Programming expertise, ability to transform concepts and ideas into scalable and robust software
Excellent communication & interpersonal skills
Intellectual curiosity, self-motivation, and commitment to excellence

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