Quantitative Developer, Global Banking & Markets, Systematic Market Making

Goldman Sachs

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$150,000–$250,000 / yr
Posted
67 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $186k
This role $200k
$133k most similar roles pay here $263k

This role pays more than 60% of similar roles. Most pay $145,200–$226,350 — the shaded band above. At the midpoint, this role pays about $200k versus about $186k 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 Developer, Global Banking & Markets, Systematic Market Making

Quantitative Developer, Global Banking & Markets, Systematic Market Marking joins the Systematic Rates Trading desk to support trading, pricing, and risk management frameworks for global Rates products including government bonds, interest rate swaps, and futures. The role involves designing, building, and maintaining high-performance trading strategies, monitoring daily performance, and creating algorithm customizations based on client needs. You will work in a collaborative trading floor environment to solve complex financial and technical challenges while communicating with traders, sales, and compliance officers regarding feature requests. Key requirements include an advanced degree in a technical field, over five years of experience, and advanced proficiency in C++. The role requires expertise in designing algorithms for US trading, data-driven strategy optimization, yield curve modeling, fixed-income analytics, and developing low latency trading strategies within the context of market making and systematic execution.

What you'll do

  • Design, build, and maintain high-performance trading strategies for internal and external clients.
  • Monitor daily trading performance and develop custom algorithms based on specific client needs.
  • Implement changes to systems based on market structure, regulations, and exchange service offerings.
  • Develop low-latency infrastructure solutions and real-time pricing engines for global Rates products.
  • Build backtesting frameworks to evaluate and optimize trading strategy performance.
  • Communicate technical features and new requests to traders, sales teams, clients, and compliance officers.

What we're looking for

  • Advanced degree in a relevant technical field such as Computer Science or Financial Technology.
  • 5+ years of relevant work experience.
  • Advanced proficiency in C++.
  • Experience designing and implementing algorithms for US trading.
  • Experience in data-driven trading strategy performance analysis and optimizations.
  • Strong communication skills and the ability to work as part of a team.
  • Preferred experience as a Quantitative Developer or Software Engineer on a systematic trading desk, market-making team, or HFT firm.
  • Knowledge of Rates products, yield curve modeling, fixed-income analytics, and low latency trading strategy development.

More like this

Similar roles

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