Execution & Automation Analyst / Associate (Multi-Asset Trading)

G Street Capital Management

United States

On-site

USD 70,000 - 90,000

Full time

14 days+

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Job summary

A leading hedge fund in the United States is seeking an Execution & Automation Analyst to support trading across various asset classes. The role involves optimizing trade execution, collaborating with portfolio managers and technology teams, and developing automation tools. Ideal candidates will have 1-3 years of experience in trade execution and strong Python and Excel skills, along with a relevant bachelor's degree.

Qualifications

1–3 years of experience in trade execution, trading support, or electronic trading.
Strong understanding of global markets and multi-asset execution workflows.
Proficiency in Python and advanced Excel, familiar with APIs and databases.

Responsibilities

Support day-to-day trade execution ensuring efficient order routing.
Configure and monitor algorithmic execution strategies.
Build and maintain Python/Excel dashboards for real-time exposure.

Skills

Market knowledge

Programming skills

Collaboration

Education

Bachelor’s degree in Finance, Computer Science, Engineering, or a related field

Tools

Python

Excel

OMS/EMS platforms

Job description

Overview

G Street Capital Management seeks a highly motivated Execution & Automation Analyst to support trading across equities, FX, fixed income, commodities, and derivatives. The ideal candidate combines strong market knowledge with programming skills and a passion for optimizing trade execution. This role partners closely with portfolio managers, traders, and technology teams to design, implement, and monitor electronic execution strategies and automation tools.

Key Responsibilities

Support day-to-day trade execution across multiple asset classes, ensuring efficient order routing and minimal slippage.
Configure and monitor algorithmic execution strategies (e.g., VWAP, TWAP, smart order routing, iceberg, volatility-scaled slicing).
Collaborate with developers to enhance execution and post-trade analytics platforms, integrating OMS/EMS with APIs.
Build and maintain Python/Excel dashboards for real-time exposure, order status, and performance metrics.
Conduct transaction cost analysis (TCA), liquidity assessments, and post-trade reviews to improve strategy selection.
Partner with PMs and technologists to design, test, and deploy new automation workflows and trading tools.
Contribute to operational risk controls by reconciling trades, monitoring fills, and validating automated processes.

Required Qualifications

1–3 years of experience in trade execution, trading support, or electronic trading (buy-side, sell-side, or hedge fund).
Strong understanding of global markets, market microstructure, and multi-asset execution workflows.
Proficiency in Python and advanced Excel; familiarity with APIs, databases, or scripting for automation.
Experience with OMS/EMS platforms and algorithmic trading tools.
Demonstrated ability to perform TCA and use data to optimize execution quality.
Excellent communication skills and the ability to collaborate across trading, technology, and operations teams.
Bachelor’s degree in Finance, Computer Science, Engineering, or a related field (advanced degree a plus).

Preferred / Nice to Have

Exposure to systematic or quantitative investment strategies.
Familiarity with risk management concepts, order throttling, or execution under liquidity constraints.
Experience with cloud platforms, data visualization, or workflow orchestration tools

About G Street Capital Management

G Street Capital Management is a next-generation global macro hedge fund leveraging cutting-edge quantitative research, advanced data science, and proprietary trading technology to uncover opportunities across global markets. Our platform integrates decades of market data with machine learning, systematic signal discovery, and real-time risk analytics to generate resilient, high-conviction investment strategies. With a culture that blends innovation and rigor, we’re building a world-class team at the intersection of finance and technology to redefine what’s possible in macro investing.

Seniority level