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Associate - Quantitative Engineering

Associate - Quantitative Engineering

Goldman Sachs

1 - 5 years

20 - 25 Lacs

Bengaluru

Posted:1 day ago| Platform:

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Skills Required

Computer science Coding Machine learning Javascript Data structures Investment banking Asset management Analytics Financial services Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Who We Are

At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.

Asset Management

Goldman Sachs Asset Management delivers innovative investment solutions through a global, multi-product platform that offers clients the advantages that come with working with a large firm, while maintaining the benefits of a boutique. We are a top 10 global asset manager with a leadership position across asset classes and key market segments. Our success is driven by a global team of talented professionals who collaborate to deliver innovative client solutions.

Quantitative Strategists

Quantitative Strategists collaborate with portfolio managers and clients to address complex financial and technical challenges. We develop analytical tools to help portfolio managers and clients understand portfolio risk and return. This includes creating interactive dashboards and portfolio construction tools that enable users to analyze and optimize investment strategies. Quantitative Strategists own investment analytics calculation engines, models for return and risk, and the portfolio management platform.

Responsibilities

As a member of the MAS Digital Strats team, you will be responsible for developing and deploying scalable systems for portfolio analysis to improve transparency and customizability of sophisticated investment strategies.

Key responsibilities include

Proprietary Infrastructure and Library Development: Contribute to building and developing infrastructure and libraries that leverage proprietary quantitative models to perform portfolio calculations, enhance portfolio construction, and track portfolio positioning and risk over time.
Full-Stack Solution Development: Design, test, and deploy robust full-stack solutions for portfolio analysis. This includes designing APIs, building user interfaces, and managing data pipelines and caching layers.
Production System Management: Develop and maintain sustainable production systems that can adapt to changes in a fast-paced environment.
Collaboration and Communication: Partner globally across multiple divisions and engineering teams. Prioritize competing problems and communicate effectively with key stakeholders. Collaborate with other engineers and DevOps teams to deliver end-to-end solutions.
Team Leadership and Mentorship: Manage other engineers, supporting their training, creative development and architectural decisions.

Basic Qualifications

Bachelors degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related field with quantitative analytics/research or financial modeling experience
Passion to learn about portfolio construction techniques and foundational mathematical concepts in investment analytics
Strong fundamentals in design, algorithms, and data structures
Ability to implement coding solutions to quantitative problems, experience in developing finance and statistics-based applications, and proficiency in multiple programming languages such as Python, TypeScript or JavaScript
Ability to multitask, work in a team environment, prioritize work, and communicate effectively with stakeholders to understand the business problems we need to solve Strong understanding of mathematical concepts is a plus, including probability and statistics, time series analysis, regression analysis, forecasting, optimization, machine learning and other numerical techniques
Self-motivation to deliver technological solutions in a dynamic business environment

Goldman Sachs Engineering Culture

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Goldman Sachs

Financial Services

New York

40,500 Employees

1932 Jobs

Key People

David Solomon

Chairman and CEO
John Waldron

President and Chief Operating Officer
Stephen Scherr

Chief Financial Officer
Ken Hitchner

Chairman of Goldman Sachs Journal
Jeffrey Schwartz

Global Head of Compliance

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Associate - Quantitative Engineering