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Quantitative Developer

Sartre Group — United States · Posted ~2 hours ago

Junior Full-time Onsite $175000 base salary plus discretionary performance bonus

Skills

Python software engineering quantitative development trading systems data analytics

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Summary ✨ AI‑Generated

A financial technology role focused on building software solutions that support trading operations and decision-making. The position combines engineering, analytics, and close collaboration with business experts while requiring strong programming and problem-solving skills.

Highlights

Opportunity to build high-impact technology for trading workflows, collaborate with quantitative specialists, and own projects from design through delivery.

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 applicationsAutomating execution and operational workflowsImproving systems supporting risk, P&L and trading activityTranslating trader and portfolio-manager requirements into production toolsInvestigating technical issues across live trading environmentsModernising existing applications and processesOwning 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 internshipsStrong programming ability, ideally in Python, although Java or C++ candidates will also be consideredAn excellent academic record in computer science, mathematics, engineering, financial engineering or another quantitative disciplineEvidence of building and explaining meaningful technical projectsA genuine interest in financial markets, derivatives or electronic tradingStrong 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.