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5 дней назад

Quantitative Software Engineer: Fast Engineering

165 000 - 300 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Quantitative Software Engineer: Fast Engineering (Rust/C++/Python): Building low-latency software components and research frameworks for quantitative models, feature construction, alpha generation, and trading with an accent on systems programming, quantitative analysis, and collaboration with researchers. Focus on designing high-performance components, analyzing real-time trading data, and simulating changes to alpha models, feature pipelines, and trading strategies.

Location: Hybrid role in NY, New York, United States, with flexible in-office days.

Salary: $165,000–$300,000 base pay annually, plus potential discretionary bonus and benefits.

Company

hirify.global is a quantitative investment management and trading firm applying technology, artificial intelligence, data science, and quantitative research to investing.

What you will do

  • Develop expertise across multiple research domains and become a technical subject-matter expert for the systems supporting them.
  • Partner with quantitative researchers to prototype, design, and implement low-latency components for new classes of quantitative models and trading tactics.
  • Build and evolve reusable Rust-based libraries and infrastructure for feature construction, alpha generation, and trading across asset classes and markets.
  • Analyze quantitative characteristics from real-time trading and simulation data.
  • Research, develop, and simulate changes to alpha models, feature pipelines, and trading strategies.
  • Evaluate the quantitative impact of engineering work on trading models and contribute to discussions with researchers, engineers, and business leaders.

Requirements

  • Minimum 1 year of experience in software engineering and quantitative analysis; 5–10+ years preferred.
  • BS degree in Computer Science, Mathematics, Physics, or a related technical or quantitative field.
  • Deep knowledge of developing high-performance software in a systems programming language such as Rust, C, or C++, with an ambition to become a Rust subject-matter expert.
  • Experience using Python for quantitative analysis.
  • Excellent interpersonal skills.

Nice to have

  • Knowledge of low-latency software development and optimization.
  • Knowledge of statistical methods, convex optimization, finance, and market structures.

Culture & Benefits

  • Fully paid medical and dental insurance premiums for employees and dependents.
  • Competitive 401(k) match, employer-paid life and disability insurance, and potential additional compensation.
  • Onsite gyms with laundry service, wellness activities, casual dress, snacks, and game rooms.
  • Tuition reimbursement, conference and training sponsorship.
  • Generous vacation, unlimited sick days, and competitive paid caregiver leave.
  • Flexible hybrid work with a budget for home office setup.

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