GBM - Quantitative Dev/Strat - Systematic Rates Trading, New York

Goldman Sachs; New York (NY); On-site; USD 150,000 - 225,000; Full time

Job summary

Goldman Sachs seeks a Quant Developer/Strat for Systematic Rates Trading in New York. You will design and deploy end‑to‑end trading algorithms, market‑making logic, and portfolio optimization tools, collaborating with traders and researchers to enhance execution and risk management.

You will own exploratory data analysis, model refinement, and performance tuning across real‑time pricing engines and execution platforms, contributing to high‑impact front‑office work in a fast‑paced environment.

Qualifications

• Education in a quantitative field (CS/Engineering/Math).
• Expert C++, Java, and Python for high-performance code.
• Strong CS fundamentals; concurrent/multi-threaded design.
• Experience with version control, CI/CD, tests, and performance profiling.
• Troubleshooting in distributed, live-trading environments.

Responsibilities

• Design, develop, and optimize systematic trading algorithms and market‑making logic.
• Perform rigorous data analysis on large high‑frequency datasets (EDA).
• Analyze market microstructure and build TCA frameworks to minimize slippage.
• Implement portfolio optimization and real‑time risk management models.
• Build high‑performance, low‑latency infrastructure and data pipelines.
• Own end-to-end reliability and scalability of the trading stack.

Skills

C++

Java

Python

Data structures

Algorithms

Multi-threaded design

Debugging

Low-latency systems

CI/CD

Education

Bachelor’s/Master’s/PhD in CS/Engineering/Math

Tools

KDB+/q

SQL

Git

Job description

Quant Dev/Strat - Systematic Rates Trading

The Systematic Rates Trading desk sits at the intersection of quantitative research, technology, and market‑making execution. The team is responsible for overseeing the systematic trading, pricing, and risk management frameworks for global Rates products (including government bonds, interest rate swaps, and futures). We design, build, and manage real‑time pricing engines, algorithmic hedging systems, and execution platforms that operate at scale in highly liquid and volatile markets.

Role Description

This is a high‑impact, front‑office seat designed for a strong Quantitative Developer / Strat who is a self‑driven, highly motivated independent thinker. In this role, you will not just implement pre‑defined models; you will actively drive the end‑to‑end development of trading algorithms, market‑making logic, and portfolio optimization tools.

We are looking for an individual who takes a high amount of ownership over their work, from initial exploratory data analysis to production‑grade deployment. You will collaborate closely with traders and quantitative researchers to optimize execution, analyze market microstructure, and build robust, high‑performance systems where code quality directly impacts desk P&L.

Responsibilities

• Algorithm Development: Design, develop, and optimize systematic trading algorithms, market‑making logic, and real‑time algorithmic hedging systems.
• Exploratory Data Analysis (EDA): Conduct rigorous data analysis on massive, high‑frequency market datasets to identify pricing anomalies, refine trading signals, and improve execution strategies.
• Market Microstructure & TCA: Analyze Rates market microstructure and build sophisticated Transaction Cost Analysis (TCA) frameworks to minimize slippage, model market impact, and optimize execution performance.
• Portfolio Optimization: Implement and refine mathematical models for portfolio optimization, risk allocation, and real‑time risk management.
• System Architecture & Performance: Design and maintain the high‑performance, low‑latency trading infrastructure and data pipelines powering the systematic Rates business.
• End‑to‑End Ownership: Proactively identify technical bottlenecks, propose architectural improvements, and take full responsibility for the reliability and scalability of the trading stack.

Who We Look For

We are seeking an exceptional software engineer and quantitative thinker with a builder mindset. You should thrive in a fast‑paced, collaborative trading floor environment where you are expected to work independently, think critically, and take complete ownership of your projects.

Basic Qualifications

• Education: Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Financial Engineering, Mathematics, or a related quantitative field.
• Core Languages: Expert‑level proficiency in C++ or Java (for high‑performance, low‑latency systems) and Python (for data analysis, prototyping, and scripting).
• CS Fundamentals: Strong foundation in data structures, algorithms, systems programming, and concurrent/multi‑threaded application design.
• Engineering Best Practices: Deep understanding of the software development lifecycle, including version control (Git), CI/CD pipelines, testing frameworks, and performance profiling.
• Problem Solving: Exceptional debugging skills and the ability to navigate complex, distributed systems under time‑sensitive, live‑trading conditions.

Preferred Qualifications

• Domain Knowledge: Strong understanding of Rates products (Treasuries, Swaps, Futures), yield curve modeling, and fixed‑income analytics.
• Industry Experience: Prior experience working as a Quant Developer, Strat, or Software Engineer on a systematic trading desk, market‑making team, or high‑frequency trading (HFT) firm.
• Data Engineering: Experience building and maintaining large‑scale time‑series databases (e.g., KDB+/q, SQL) and ETL pipelines.
• Quantitative Skills: Familiarity with statistical modeling, optimization techniques, and machine learning libraries in Python.

Salary Range

The expected base salary for this New York, NY, United States‑based position is $150 000–$225 000. 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.