Entry-Level Quantitative Developer

Wall Street Quants

Entry-Level Quantitative Developer joining a proprietary trading firm to build research platforms and trading tech. Ideal for those passionate about software engineering and quantitative finance.

Posted 7/15/2026full-timeRemote • 🇺🇸 United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong software engineering skills with proficiency in Python, C++, Java, Rust, or Go, and a solid understanding of data structures, algorithms, and systems design. Capable of building reliable software for quantitative research and trading workflows while collaborating effectively with traders and researchers.

Highest-signal resume keywords

Proficiency In PythonProficiency In C++Proficiency In JavaProficiency In RustProficiency In Go

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData StructuresAlgorithmsSystems DesignTestingPerformance ReasoningReliability AnalysisConcurrency ManagementOperational TradeoffsHigh-Throughput Data Pipelines

Soft Skills

Attention To DetailIntellectual CuriosityContinuous ImprovementCommunication SkillsTeamwork Skills

Tools & Technologies

APIsMonitoring ToolsSimulation SoftwareMarket Data ToolsTrading Systems

Industry Keywords

Quantitative ResearchFinancial MarketsTrading WorkflowsOperational VisibilityProduction Issues

Tech Stack

Tools & technologies

GoJavaPythonRust

About the role

Key responsibilities & impact

Build software for quantitative research, market data, simulation, and trading workflows.
Improve system reliability, performance, testing, and operational visibility.
Partner with researchers and traders to turn ideas into dependable tools.
Develop reliable software used in quantitative research, trading, simulation, and market-data workflows.
Design and maintain high-throughput data pipelines, APIs, and services for time-sensitive financial systems.
Profile latency, memory use, reliability, and performance across critical research and trading applications.
Write tests, participate in code reviews, and improve engineering standards across the codebase.
Troubleshoot production issues and build monitoring that makes failures easier to detect and diagnose.
Collaborate closely with traders and researchers to translate quantitative ideas into dependable tools.

Requirements

What you’ll need

Early-career applicant from any degree discipline with practical software engineering ability.
Transferable programming experience from a technology company, startup, research group, personal projects, or another setting.
Interest in moving into quantitative development; no prior quant or finance experience is required.
Open to applicants from any degree discipline, including people moving from technology, consulting, science, operations, or another career.
Transferable professional, project, or self-directed experience that demonstrates analytical judgment and learning ability.
Strong computer science fundamentals, including data structures, algorithms, testing, and systems design.
Proficiency in Python, C++, Java, Rust, Go, or another production programming language.
Ability to reason about performance, reliability, concurrency, and operational tradeoffs.
Experience building substantial software through coursework, internships, open-source work, or personal projects.
Interest in financial markets is useful, but prior finance experience is not required.
Applicants from every degree discipline are welcome.
No prior quantitative finance, trading, or investment-industry experience is required.
Strong attention to detail, intellectual curiosity, and a commitment to continuous improvement.
Excellent communication and teamwork skills.

Benefits

Comp & perks

Hands-on development across quantitative systems, market data, research platforms, performance engineering, and production reliability.
Mentorship from experienced quantitative traders, researchers, engineers, and technologists.
Exposure to live markets, real financial datasets, and the full path from idea to implementation.
A collaborative, high-performance environment that values curiosity, discipline, and continuous learning.
Opportunities for rapid growth based on performance, ownership, and measurable impact.
Competitive compensation and a benefits package aligned with the employer and location.