Automated Trading Analyst - Markets & Tech Innovator

Selby Jennings; New York (NY); On-site; USD 150,000 - 200,000; Full time

Job summary

Selby Jennings in New York, NY, seeks a Trading Analyst to support live automated strategies across multiple asset classes. You will analyze outcomes, manage risk, and identify improvements in strategy performance, execution quality, and operational efficiency.

Required are a quantitative bachelor's and 1+ year in finance/tech, plus programming with Python/SQL/Java/C++. You will collaborate with engineers and traders globally, driving monitoring tools and workflows in a fast-paced environment.

Qualifications

• Bachelor’s degree in a quantitative field such as mathematics, statistics, CS, engineering, OR operations research or physics.
• 1+ year of professional experience within a financial institution or technical environment.
• Programming experience with Python, SQL, Java, or C++.
• Strong analytical, problem-solving, and communication skills.
• Ability to manage multiple priorities in a fast-moving production environment.
• Strong interest in electronic trading and financial markets.
• Experience within prediction markets is highly attractive.

Responsibilities

• Monitor and optimize the performance of live trading strategies.
• Identify and resolve issues affecting execution, data, or system stability.
• Analyze trading performance and changing market conditions.
• Build and improve monitoring tools, reports, and automated workflows.
• Partner with software engineers to enhance trading systems and strategies.
• Coordinate with traders, researchers, engineers, and operations teams globally.

Skills

Strong analytical skills

Problem-solving

Communication skills

Prioritization / multitasking

Interest in electronic trading

Education

Bachelor’s degree in a quantitative field

Tools

Python

SQL

Java

C++

Job description

Selby Jennings in New York, NY, seeks a Trading Analyst to support live automated strategies across multiple asset classes. You will analyze outcomes, manage risk, and identify improvements in strategy performance, execution quality, and operational efficiency.

Required are a quantitative bachelor's and 1+ year in finance/tech, plus programming with Python/SQL/Java/C++. You will collaborate with engineers and traders globally, driving monitoring tools and workflows in a fast-paced environment.