Quantitative Developer

VirtualVocations
Washington, US
Remote

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Built low-latency trading systems
  • Implemented robust market data pipelines
Typical background
Master's degree in Computer Science, Mathematics, Physics, or related quantitative disciplineExperience in software engineering

Transferable backgrounds

  • Coming from Software Engineer
  • Coming from Quantitative Analyst

Skills & requirements

Required

C++JavaPythonFinancial MarketsQuantitative MethodsLow-latency Systems

Preferred

Fintech Experience

Stack & domain

C++JavaPythonFinancial MarketsQuantitative MethodsFintechTradingRiskAnalytics

About the role

Original posting from VirtualVocations

Quantitative Developer, seeking an experienced professional for a full-time remote role to build low-latency trading, risk, and analytics systems for fintech applications. Key Responsibilities Design and implement low-latency trading, pricing, and risk systems in C++, Java, or Python Translate quantitative models into production-quality implementations and build robust market data pipelines Collaborate with quants and traders to refine models and tooling, ensuring full observability of trading systems Required Qualifications Bachelor's or Master's degree in Computer Science, Mathematics, Physics, or a related quantitative discipline Six or more years of software engineering experience, particularly in fintech Strong programming skills in C++, Java, or Python Solid grounding in financial markets and basic quantitative methods Hands-on experience building low-latency, high-throughput systems

Source: VirtualVocations careers

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