Quantitative Rates Trading Strat, VP

Goldman Sachs

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$150,000–$300,000 / yr
Posted
37 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $172k
This role $225k
$119k most similar roles pay here $319k

This role pays more than 87% of similar roles. Most pay $138,000–$205,375 — the shaded band above. At the midpoint, this role pays about $225k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 134 open roles on FindRole.

Listed pay typically runs $137,000–$250,000 across 55 roles with salary data.

Most-posted roles

View all roles at Goldman Sachs

At a glance

TL;DR · Quantitative Rates Trading Strat, VP

As a GBM - Quantitative Rates Trading Strat, VP, you will join a team dedicated to transforming the rates business through quantitative research and the systemization of key trading processes. You will perform systematic analysis of market data to design automation platforms, oversee end-to-end structuring for complex interest rate derivatives, and develop algorithms for automated pricing and hedging. Your daily work involves collaborating with traders and sales professionals to solve technical challenges related to government bonds and inflation products. The role requires proficiency in object-oriented or functional programming using C++, Java, or Python. You will manage the software development life cycle while mentoring junior team members. This position addresses complex financial problems by applying advanced statistical analysis and mathematical models to optimize portfolio risk decisions and enhance decision-making across a diverse range of interest rate exposures.

What you'll do

  • Perform systematic quantitative analysis of market data to drive strategic business decisions and design automation platforms.
  • Oversee end-to-end structuring for complex interest rate derivatives and structured financing products.
  • Architect and enhance systems to automate the pricing of interest rate derivatives and cash products.
  • Design and implement automated hedging algorithms and risk management frameworks for interest rate exposures.
  • Lead all stages of the software development life cycle in collaboration with engineering teams.
  • Translate sophisticated technical concepts into actionable solutions for clients and senior stakeholders.
  • Mentor junior team members and lead strategic initiatives across the diversified rates franchise.

What we're looking for

  • Excellent academic record in a highly quantitative field such as Physics, Mathematics, Statistics, Engineering, or Computer Science.
  • Strong programming skills in an object-oriented or functional paradigm like C++, Java, or Python.
  • 5–10 years of experience in quantitative finance or at a cutting-edge technology company.
  • Proven track record of project ownership and the ability to deliver results in high-pressure environments.
  • Excellent written and verbal communication skills to articulate complex technical concepts to senior stakeholders.
  • Prior experience in interest rates such as government bonds, swaps, options, or inflation products at a peer investment bank or hedge fund (preferred).
  • Previous quantitative or technical experience working directly on or with a fixed income or derivatives trading desk (preferred).

More like this

Similar roles

Associate, Quantitative Engineering

Goldman Sachs

New York, NY 30 days ago $150,000$189,000
Python C++ Java Stochastic Calculus Machine Learning Time Series Analysis Linear Regression Bayesian Analysis Quantitative Analysis Financial Mathematics Data Management Statistical Analysis Numerical Methods Optimization
2+ yrs exp

Quantitative Dev/Strat, Systematic Rates Trading

Goldman Sachs

New York, NY 65 days ago $150,000$225,000
C++ Java Python KDB+/q SQL CI/CD Git Data Structures Algorithms Time-series Databases ETL Pipelines Machine Learning Statistical Modeling Portfolio Optimization Low-latency Systems System Architecture

Vice President, Public ETF Trading

Goldman Sachs

New York, NY 58 days ago $150,000$300,000
Python SQL MATLAB C++ Java Algorithmic Trading Backtesting Financial Modeling Data Analysis Machine Learning Statistics Econometrics Risk Management ETFs
2+ yrs exp

Quantitative Engineering

Goldman Sachs

New York, NY 75 days ago $150,000$225,000
Java Python JSI Slang Git CI/CD ETL Data Pipelines System Architecture Performance Profiling Distributed Systems Time-series Data Algorithms Data Structures