Asset & Wealth Management, QIS, Quantitative Equity Portfolio Construction Analyst - New York

Goldman Sachs; New York (NY); Vor Ort; USD 90.000 - 130.000; Vollzeit

Zusammenfassung

Goldman Sachs Asset & Wealth Management seeks a data-driven Analyst to join the Quantitative Equity Portfolio Construction team. You will help optimize and rebalance global equity portfolios, develop systematic trading ideas, and test new portfolio constructs, while focusing on risk attribution and performance.) The role requires strong programming, quantitative skills, and a passion for equity investing.

This is an on-site position in New York with opportunities for AI-enabled investment

Qualifikationen

• BA/BS in Statistics, Math, Finance or Engineering is preferred.
• Strong analytical and quantitative skills required.
• Interest in equity investing and markets.
• Ability to work in a fast-paced environment.
• Solid statistics, linear algebra, and calculus foundations.
• Proficiency in Python, Matlab, R, C++, or Java.

Aufgaben

• Optimization and rebalancing of equity portfolios.
• Systematic trade generation and execution oversight.
• Implementation and testing of new portfolios.
• Cash management for equity portfolios.
• Portfolio construction research and process innovation.

Kenntnisse

Analytical skills

Quantitative skills

Creative thinking

Equity investing

Attention to detail

Programming experience

Ausbildung

BA/BS in Statistics/Math/Finance/Engineering

Tools

Python

Matlab

R

C++

Java

Jobbeschreibung

YOUR IMPACT

Are you an intellectually curious, disciplined self-starter with a passion for financial markets and quantitative investing? The Quantitative Investment Strategies (QIS) team within Goldman Sachs Asset & Wealth Management is seeking an Analyst to join the Quantitative Equity Portfolio Construction team. In this role, you will be on the front lines of active portfolio management - combining economic rationale, mathematical optimization, and advanced analytical tools to drive daily rebalancing, risk attribution, and portfolio performance across our global equity strategies.

WHO WE ARE

Goldman Sachs Asset & Wealth Management is one of the world's leading investment managers, providing institutional and individual investors with investment and advisory solutions across asset classes, industries and geographies. We help our clients navigate dynamic markets and identify the opportunities that shape their portfolios and long-term investment goals. We extend these global capabilities to the world's leading pension plans, sovereign wealth funds, central banks, insurance companies, financial institutions, endowments, foundations, individuals and family offices.

The Quantitative Investment Strategies (QIS) group is a market leader in quantitative portfolio management, using advanced quantitative methods to structure, manage, and monitor investment portfolios across quantitative equity, multi-asset, and alternative strategies. Within QIS, the Quantitative Equity team delivers active equity alpha, factor-based strategies, and customized portfolio solutions to investors.

RESPONSIBILITIES AND QUALIFICATIONS

HOW YOU WILL FULFILL YOUR POTENTIAL

The ideal candidate is passionate about investment and motivated to outperform the market. We welcome individuals who are excited by the prospect of combining creative insights with focus on details of equity portfolio construction to make good investment decisions. Strong programming skills, solid understanding of statistics, and familiarity working with data are required. Experience working with equities is a plus.

Key Responsibilities

• Optimization and Rebalancing of Equity Portfolios
• Systematic Trade Generation and Execution Oversight
• Implementation and Testing of New Portfolios
• Cash Management for Equity Portfolios
• Portfolio Construction Research
• Investment Process Innovation & AI Automation
• Full oversight of managed portfolios including monitoring of portfolio composition, performance and risk

SKILLS & EXPERIENCE WE’RE LOOKING FOR

Basic Qualifications

• BA/BS Degree in Statistics, Math, Finance, or Engineering preferred
• Excellent analytical and quantitative skills
• Creativity and ability to think outside the box
• Passion for equity investment
• Ability to work well in a fast-paced environment
• Solid understanding of statistics, linear algebra, and calculus
• Strong programming skills (i.e. Python, Matlab, R, C++, Java, or other languages)
• Exceptional attention to detail and strong operational discipline

Salary Range

The expected base salary for this New York, NY, United States-based position is $90000-$130000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits

Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.