Asset & Wealth Management, QIS, Core Research, Associate- New York New York · · Associate

Goldman Sachs Bank AG; New York (NY); On-site; USD 100,000 - 170,000; Full time

Job summary

A leading investment management firm seeks an Associate in New York to contribute to their Asset & Wealth Management division, specifically within the Quantitative Investment Strategies group. The position involves conducting rigorous research, managing portfolios, and utilizing advanced techniques in machine learning to optimize investment strategies. Ideal candidates will have strong quantitative backgrounds and a passion for innovative investing.

Benefits

Healthcare and Medical Insurance

Generous vacation policies

Financial support for higher education

On-site fitness centers

Child care and family care services

Qualifications

• Strong understanding of machine learning and artificial intelligence.
• Creativity and ability to think outside the box.

Responsibilities

• Conduct alpha research and implement quantitative trading models.
• Manage portfolio construction and oversee systematic trade execution.
• Build next generation research and production infrastructure.

Skills

Machine Learning

Artificial Intelligence

Statistics

Linear Algebra

Programming (Python, Matlab, C++, Java)

Education

Degree in a highly computational and quantitative discipline

Advanced degree preferred

Job description

Asset & Wealth Management, QIS, Core Research, Associate- New York location_on New York, New York, United States

Opportunity Overview sitemap_outline CORPORATE TITLE Associate language OFFICE LOCATION(S) New York assignment JOB FUNCTION Investing & Portfolio Management - Public account_balance DIVISION Asset & Wealth Management monetization_on SALARY RANGE USD 100,000 - 170,000

OUR IMPACT

Goldman Sachs Asset Management (GSAM) is one of the world’s leading investment managers. GSAM provides institutional and individual investors with investment and advisory solutions, with strategies spanning asset classes, industries, and geographies. We help our clients navigate today’s 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

Within GSAM, the Quantitative Investment Strategies (QIS) group is responsible for managing client assets, and is a market leader in quantitative portfolio management. We use advanced quantitative methods to structure, manage, and monitor investment portfolios including mutual funds, and separately managed accounts. QIS offers multi-asset strategies, as well as equity strategies, including both actively managed portfolios and portfolios that closely track an index. Clients include public, corporate and charitable institutions, high net-worth individuals, retail investors, and various portfolio management groups within the division.

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 extensive research to make good investment decisions.

Key responsibilities include:

· Alpha research: Generate creative research ideas, explore new datasets, conduct rigorous analysis, and implement quantitative trading models. Research in model and optimization related techniques, especially in machine learning and artificial intelligence.

· Portfolio management: Assume full responsibility for alpha model, portfolio construction, and performance. Oversee day to day systematic trade generation and execution.

· Research Methodologies and Infrastructure: Help formulate and build next generation research and production infrastructure for systematic strategies that utilizes heavy computation and latest ML/AI techniques.

SKILLS & EXPERIENCE WE’RE LOOKING FOR

BASIC QUALIFICATIONS

· Degree (Undergraduate/Masters/PhD) in a highly computation and quantitative discipline. Advanced degree preferred.

· Strong understanding of machine learning, artificial intelligence, and/or optimization techniques.

· Strong programming skills (i.e. Python, Matlab, C++, Java, or other languages)

· Strong understanding of statistics and linear algebra.

· Creativity and ability to think outside the box

· Ability to work well in a fast-paced environment

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Salary Range
The expected base salary for this New York, New York, United States-based position is $100000-$170000. 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 .

Healthcare & Medical Insurance

We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.

We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.

Financial Wellness & Retirement

We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.

Health Services

We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.

Fitness

To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).

Child Care & Family Care

We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.

Benefits at Goldman Sachs

Read more about the full suite of class-leading benefits our firm has to offer.