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6 дней назад

Quantitative Software Engineer (Commodities)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
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 with an accent on signal research, time-series analysis, and market data integration. Focus on designing backtesting frameworks, modeling supply and demand, and delivering reliable tools for traders, quants, and risk platforms.

Location: London, United Kingdom

Company

hirify.global is a proprietary trading firm active in equities, fixed income, foreign exchange, and commodity markets. 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, dashboards, and visualizations for markets, positions, and PnL drivers.
  • Design pipelines to ingest, clean, store, and access market, fundamental, alternative, time-series, and reference data.
  • Integrate models and tools with event-based risk, market data, and pricing platforms.
  • Test, monitor, document, and 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, or Statsmodels.
  • Solid knowledge of statistics, time-series analysis, data modeling, algorithms, design patterns, and object-oriented programming.
  • Experience with data pipelines, large datasets, SQL, NoSQL, or tick databases, plus data visualization and dashboarding tools.
  • Strong verbal and written English is required, with the ability to work closely with traders.

Nice to have

  • Machine learning experience.
  • Java or C++ experience.
  • Familiarity with Kafka, Docker, Airflow, or Luigi.
  • Knowledge of energy markets, futures, and swaps.

Culture & Benefits

  • Close collaboration with traders and quants in a small commodities 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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