S

Junior Quantitative Developer

sartre group • New York City Metropolitan Area
Visa Sponsorship Relocation
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AI Summary

Build Python tools, analytics, and trading-data applications for portfolio managers and traders. Translate requirements into production systems and improve risk, P&L, and execution workflows. Requires strong programming skills, quantitative background, and direct collaboration with investment professionals.

Key Highlights
Zero to two years professional experience including internships
Strong programming ability in Python, Java, or C++
Excellent academic record in quantitative disciplines
Direct work with portfolio managers, traders, and quantitative specialists
Key Responsibilities
Building Python tools, analytics and trading-data applications
Automating execution and operational workflows
Improving systems supporting risk, P&L and trading activity
Translating trader and portfolio-manager requirements into production tools
Investigating technical issues across live trading environments
Modernising existing applications and processes
Owning projects from initial requirements through to delivery
Technical Skills Required
Python Java C++
Benefits & Perks
Base salary of $175,000
Discretionary performance bonus
Relocation assistance available
Visa sponsorship available
Nice to Have
Previous professional trading experience

Job Description


New York City

$175,000 base salary, plus discretionary performance bonus


Build software used directly by portfolio managers and traders.


Sartre Group is partnered with an established multi-strategy hedge fund that is adding a junior Quantitative Developer to one of its front-office trading teams in New York.


This position sits between software engineering, quantitative development and trading. You will work directly with portfolio managers, traders and quantitative specialists, building practical technology that supports daily trading and decision-making.


The work includes:

  • Building Python tools, analytics and trading-data applications
  • Automating execution and operational workflows
  • Improving systems supporting risk, P&L and trading activity
  • Translating trader and portfolio-manager requirements into production tools
  • Investigating technical issues across live trading environments
  • Modernising existing applications and processes
  • Owning projects from initial requirements through to delivery


This is not a pure Quant Research position or a conventional backend engineering role. It is best suited to someone who enjoys building practical software, working closely with its users and seeing the impact of their work quickly.


We are looking for:

  • Zero to two years of professional experience, including relevant internships
  • Strong programming ability, ideally in Python, although Java or C++ candidates will also be considered
  • An excellent academic record in computer science, mathematics, engineering, financial engineering or another quantitative discipline
  • Evidence of building and explaining meaningful technical projects
  • A genuine interest in financial markets, derivatives or electronic trading
  • Strong communication skills and the confidence to work directly with investment professionals


Previous professional trading experience is helpful but not essential. Relevant internships, academic work and personal projects will also be considered.


Relocation assistance and visa sponsorship may be available for suitable candidates.


Apply with your resume to discuss the position and team in more detail.


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