Hybrid Quant Developer: Front-Office Tech & Trading Tools

Andsimple; Northern, New York (KY, NY); Hybrid; USD 180,000 - 200,000; Full time

Job summary

Soros Fund Management seeks a Quantitative Developer to advance front-office technology and modernise Python infrastructure for portfolio-management teams. This is an individual-contributor role with a hybrid schedule: four days on-site, one remote day.

The position focuses on trading, alpha generation and risk management, requiring 9+ years of front-office experience and a Master’s degree in a relevant field. Strong Python and SQL capabilities are essential.

Qualifications

• 9+ years of front-office quantitative-development experience.
• Master's degree in computer science, mathematical finance or related field.
• Relational-database experience (MS SQL Server).
• Strong problem-solving and cross-functional collaboration skills.
• FinCAD or Numerix experience preferred; ability to create technical specs with business users.

Responsibilities

• Deliver projects as an individual contributor impacting trading, alpha generation and risk management.
• Decommission legacy tools and code; centralise Python libraries into shared libraries.
• Review Python code changes and assist with design decisions across teams.
• Design and build tools, screeners and report libraries for front-office and risk teams.
• Assist with middle- and back-office reporting; communicate technical concepts to stakeholders.

Skills

Python programming

Quantitative development

Cross-functional collaboration

Education

Master's degree in Computer Science or Mathematical Finance

Tools

MS SQL Server

FinCAD

Numerix

Python libraries

Job description

Soros Fund Management seeks a Quantitative Developer to advance front-office technology and modernise Python infrastructure for portfolio-management teams. This is an individual-contributor role with a hybrid schedule: four days on-site, one remote day.

The position focuses on trading, alpha generation and risk management, requiring 9+ years of front-office experience and a Master’s degree in a relevant field. Strong Python and SQL capabilities are essential.