Real-Time Quant Strategist | AI-Driven Trading & Risk

Soros Fund Management; New York (NY); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Discretionary year-end bonus

Job summary

Soros Fund Management is seeking a talented Quantitative Strategist in New York, NY. This role involves developing real-time P&L and risk systems, building interactive tools for portfolio management, and collaborating on innovative trading strategies. Candidates should have 2-5 years of relevant experience and advanced degrees in quantitative fields.

The expected salary for this position ranges between $150,000 and $200,000, with eligibility for year-end bonuses. Join a team that values smart risk-taking, teamwork, and integrity.

Qualifications

• At least 2–5 years of experience in quantitative development or research.
• Strong proficiency in Python and its libraries.
• Exposure to SQL and other programming languages is beneficial.

Responsibilities

• Develop real time P&L and risk systems.
• Build tools for portfolio management.
• Implement trading signals for asset classes.
• Provide quantitative support for desk projects.

Skills

Python

SQL

Quantitative Analysis

Collaborative Skills

Education

Advanced degree in Physics, Engineering, Math, Mathematical Finance, or related field

Tools

Pandas

NumPy

C#

R

Job description

Soros Fund Management is seeking a talented Quantitative Strategist in New York, NY. This role involves developing real-time P&L and risk systems, building interactive tools for portfolio management, and collaborating on innovative trading strategies. Candidates should have 2-5 years of relevant experience and advanced degrees in quantitative fields.

The expected salary for this position ranges between $150,000 and $200,000, with eligibility for year-end bonuses. Join a team that values smart risk-taking, teamwork, and integrity.