10 часов назад
Risk Engineer (Quantitative Finance)
200 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Risk Engineer (Quantitative Finance): Building factor risk models, performance analytics, and risk management tools for global electronic trading with an accent on multi-asset modeling, tail risk estimation, and large-scale data analysis. Focus on researching new risk models, productionizing quantitative tools, and solving complex risk management challenges across interest rates, commodities, credit, and equities.
Location: New York, NY, United States
Salary: USD 200,000–300,000 per year, plus discretionary performance-based bonuses.
Company
applies a scientific approach to algorithmic trading and develops sophisticated computing environments for financial research and trading.
What you will do
- Build and enhance in-house factor risk models across interest rates, commodities, credit, and equities.
- Customize vendor market risk models and research new models for trading and risk management challenges.
- Improve tail risk estimation for historical and hypothetical scenarios with risk managers.
- Ingest, evaluate, and transform large datasets for risk and performance analysis.
- Design performance analytics and risk decomposition applications.
- Collaborate with developers to productionize risk models, maintain the risk production codebase, and communicate with investment teams.
Requirements
- Bachelor’s degree in Mathematics, Physics, Computer Science, or Statistics; an advanced degree is a plus.
- 2–5 years of experience as a quantitative analyst at a hedge fund, institutional asset manager, or investment bank.
- Strong knowledge of linear algebra, applied probability, and statistics.
- Excellent knowledge of Python and Linux.
- Experience with fixed income, commodities, credit, or options is preferred.
- Strong cross-functional communication skills and the ability to work independently and collaboratively.
Culture & Benefits
- Scientific, innovation-focused environment centered on algorithmic trading and automation.
- Collaborative community of researchers, engineers, traders, and business specialists.
- Culture of openness, transparency, and knowledge sharing.
- Competitive benefits package and performance-based bonuses.
- Diverse, inclusive workplace with colleagues and offices around the globe.
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