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2 месяца назад

Fixed Income Quantitative Researcher (Trading)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Fixed Income Quantitative Researcher (Trading) (fixed income/quantitative research): Developing and deploying predictive models for fixed income products and portfolio risk using large-scale financial time series, with an accent on medium- to long-frequency alpha, statistical modeling, and signal validation. Focus on designing robust signals in low signal-to-noise regimes, analyzing yield curves and market events, and implementing research alongside traders and technologists.

Location: London, United Kingdom

Company

hirify.global is a quantitative trading firm that applies mathematics, statistics, and computer science research to global financial markets.

What you will do

  • Develop and refine quantitative models for predicting and trading fixed income products, including medium- to long-frequency alpha signals.
  • Manage portfolio risk and ensure accurate risk assessment for real-time decision-making.
  • Analyze market data and relationships between market events and product price movements to identify opportunities and optimize strategies.
  • Build, train, validate, and monitor predictive models using large-scale, noisy financial time series.
  • Collaborate with futures, equity, and options researchers, traders, and technologists to share signals, data, and infrastructure.

Requirements

  • Experience with fixed income concepts, including bond and interest rate swap pricing, yield curve analysis, and algorithm optimization.
  • Experience researching predictive signals over multi-hour to multi-week horizons, including signal construction, backtesting, turnover, and capacity analysis.
  • Deep expertise in modern deep learning, Bayesian time series, or high-dimensional statistics, with an understanding of overfitting in low signal-to-noise environments.
  • Experience working with large datasets and strong problem-solving, mathematics, and statistics skills.
  • Solid Python and software development skills; good C++ skills are a plus.
  • Master’s or PhD in mathematics, statistics, operations research, physics, computer science, financial engineering, or a related field.

Culture & Benefits

  • Collaborative, team-driven research environment spanning fixed income, futures, equity, and options.
  • Private medical, vision, and dental insurance.
  • Travel medical insurance and group pension scheme.
  • Group life assurance, income protection, and paid parental leave.
  • Parking and commuter benefits.

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