Core Engineering, Developer Experience Metrics, Quant Engineer, Associate / Vice President, Singapore

Core Engineering, Developer Experience Metrics, Quant Engineer, Associate / Vice President, Singapore

3 days ago Be among the first 25 applicants

Overview

DEVELOPER JOURNEY STRATEGY AT GOLDMAN SACHS

The Developer Journey Strategy for the firm focuses on investing in the developer experience to minimize friction, promote standardization, and leverage artificial intelligence (AI) to enable seamless delivery. By streamlining processes, implementing consistent practices, and integrating AI-driven tools and solutions, we empower developers to efficiently build and run products and platforms. This strategy aims to enhance productivity, foster innovation, and ensure high-quality outcomes by providing developers with the advanced tools, resources, and support they need to succeed. The incorporation of AI not only automates routine tasks and optimizes workflows but also provides predictive insights and intelligent recommendations, further enhancing the development process.

SDLC ENGINEERING

Part of Goldman Sachs’ Core Engineering group’s function is to provide best in class language support and tooling for our engineering community to facilitate the building, testing and deployment of their products. We strive for our tooling to improve product quality, developer productivity and increase opportunities for collaboration. Our aim is to innovate and drive technology solutions that will impact the bottom line for the firm. By joining us, you will be part of a diverse global technical team focusing on solving critical business problems. You will be working at the heart of the developer experience, ensuring the code that is written by thousands of GS engineers is versioned securely, reviewed expertly, compiled quickly, tested comprehensively, and distributed widely.

What You Will Be Working On

We are seeking a highly skilled and motivated Quantitative Engineer to join our team at Goldman Sachs. This role is focused on analyzing developer lifecycle data, especially generative AI usage, and building logical models to measure and enhance developer productivity. The ideal candidate will be responsible for modelling solutions that provide insights and generate key metrics such as code quality, code generation frequency, production incidents, test coverage, and other relevant indicators. The successful candidate will work closely with cross-functional teams to ensure that data analysis and models created provide insights and trends across our suite of developer lifecycle products, ultimately driving improvements in productivity across the organization. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

Key Responsibilities

• Data Analytics & Regression : Conduct in-depth data analytics and regression analysis on the firm's engineering and Dev AI data to uncover insights, identify trends, and quantify the benefits of generative AI tooling on engineering productivity.
• Cross-Correlation and Impact Assessment : Cross-correlate data across various datasets to comprehensively assess the impact of Dev AI on KPIs such as code quality (defect density, code coverage, technical debt) and operational stability (deployment frequency, mean time to recover, change failure rate).
• Model Refinement and Development : Continuously refine existing analytical models used to measure engineering productivity and the efficacy of current tools. Develop new data models and analytical frameworks as new generative AI tools and technologies are integrated into the engineering workflow, ensuring robust and accurate measurement of their impact.
• Ad-hoc Data Analysis : Perform timely and accurate ad-hoc data analysis to address specific, urgent business questions and provide rapid insights to support immediate decision-making.

Skills And Experience We Are Looking For

Preferred Qualifications

What’s In It For You

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 are 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.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more : https : / / www.goldmansachs.com / careers / footer / disability-statement.html

The Goldman Sachs Group, Inc., 2024. All rights reserved.

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.

Seniority level : Mid-Senior level

Employment type : Full-time

Job function : Engineering and Information Technology

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