Quantitative Market Risk Analyst (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Quantitative Market Risk Analyst (AI): Monitoring and analyzing market risk exposures and PnL for trading desks with an accent on quantitative modeling and programming. Focus on designing and deploying AI-driven solutions using LLMs to automate risk processes and enhance statistical analysis of market data.
Location: Must be based in London, UK (Hybrid role).
Company
is the largest investment bank in Latin America, providing dynamic financial solutions with a global presence across multiple continents.
What you will do
- Monitor and analyze market risk exposures and PnL across trading desks.
- Develop and improve risk tools and controls for daily risk management.
- Interact closely with traders to understand and manage risk profiles.
- Apply statistical and quantitative methods to market data.
- Design and deploy AI-driven solutions using LLMs to automate risk workflows.
- Contribute to model validation, robustness, and ongoing system improvements.
Requirements
- 1–2 years of experience in Market Risk, Trading Support, or Quantitative Analysis.
- Strong quantitative foundation and understanding of financial markets.
- Strong programming skills in Python (pandas, NumPy).
- Interest or experience with AI/LLM tools for automation.
- Ability to operate in a fast-paced, front-office environment.
- Must be based in London or able to work from the London office.
Nice to have
- Knowledge of SQL or data infrastructure.
- Exposure to model validation or risk governance.
- Experience working with trading data and risk metrics.
Culture & Benefits
- Professional and international working environment.
- Clear progression path within the Risk Management team.
- Opportunity to apply cutting-edge AI in a production risk environment.
- Collaborative and entrepreneurial team culture.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →