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2 дня назад

Quantitative Software Engineer (Commodities)

160 000 - 190 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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 (Commodities) (Python/Quantitative Trading): Building production-grade trading tools, fundamental energy-market models, analytics, and data pipelines for crude oil, refined products, natural gas, and other commodities with an accent on signal research, backtesting, time-series analysis, and market data integration. Focus on designing scalable data infrastructure, productionizing supply/demand and curve models, and delivering clear analytics for traders, positions, and PnL drivers.

Location: New York, United States

Base salary: $160,000–$190,000 USD per year, plus discretionary bonus eligibility.

Company

hirify.global is a proprietary trading firm trading equities, fixed income, FX, and commodity products. DV Commodities focuses on crude oil, refined products, natural gas, and other commodities across US, European, and Asian markets.

What you will do

  • Build quantitative trading tools, signal research workflows, backtesting frameworks, and strategy monitoring systems with traders, quants, and engineers.
  • Develop and productionize fundamental energy-market models covering supply and demand, inventories, flows, curves, and spreads.
  • Create analytics and visualization tools for market conditions, positions, and PnL drivers.
  • Design pipelines that ingest, clean, store, and provide access to market, fundamental, and alternative data.
  • Integrate models and tools with event-based risk, market data, and pricing platforms.
  • Test, monitor, document, and continuously improve models and tools based on trader feedback.

Requirements

  • Bachelor’s degree or higher in computer science, engineering, mathematics, statistics, physics, or another quantitative discipline.
  • At least 2 years of professional experience building quantitative trading tools, models, or analytics in a financial or commodities setting.
  • Strong Python skills in a scientific computing environment, including NumPy, pandas, SciPy, statsmodels, or similar tools.
  • Strong grounding in statistics, time-series analysis, data modeling, algorithms, design patterns, and object-oriented programming.
  • Experience building data pipelines and working with large datasets, SQL, NoSQL, or tick databases.
  • Strong verbal and written English communication skills, with the ability to work closely with traders.

Nice to have

  • Machine learning experience.
  • Java or C++ experience.
  • Experience with Plotly/Dash, Streamlit, Grafana, Kafka, Docker, Airflow, or Luigi.
  • Knowledge of energy markets, futures, and swaps.

Culture & Benefits

  • Work directly with traders, quants, and engineers in a small commodities-focused team.
  • Medical, dental, and vision insurance.
  • HSA, FSA, dependent care, life, AD&D, and voluntary LTD insurance options.
  • Flexible vacation policy.
  • Retirement plan with employer match.
  • Eligibility for a discretionary bonus.

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