4 дня назад
Risk Developer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Risk Developer (AI) (Python/LLM/DevOps): Building and operating real-time risk systems for PnL, VaR, greeks, dashboards, analytics, and alerting with an accent on low-latency reliability, AI-assisted development, and financial model integration. Focus on designing production-ready full-stack applications, integrating LLM APIs, automating deployments, and maintaining stability during live trading conditions.
Location: London
Company
is a proprietary trading firm within the DV Group, providing liquidity to worldwide financial markets and hedging opportunities to commodity producers and users.
What you will do
- Build and maintain real-time risk systems for 24/5 PnL tracking, VaR, exposure calculations, dashboards, analytical tools, alerting, and monitoring.
- Design responsive front-end interfaces for visualizing and interacting with risk metrics.
- Own deployment, CI/CD, containerization, infrastructure, observability, environment management, and incident response.
- Improve application reliability, performance, availability, and low-latency stability during market hours.
- Use AI-assisted development tools and integrate LLM APIs for automation, analysis, and workflow improvements.
- Collaborate with risk developers, quantitative analysts, and market risk analysts to implement financial models and production-ready applications.
Requirements
- 4+ years of professional full-stack development experience, preferably in financial services or proprietary trading.
- Strong Python skills for data processing, backend logic, and model integration.
- Experience with Docker, CI/CD pipelines, Linux administration, and monitoring or logging tools such as Prometheus and Grafana.
- Hands-on experience with AI coding assistants, agentic development workflows, and LLM API integration, including prompt design, tool or function calling, and evaluation.
- Experience with a modern JavaScript framework such as React, Angular, or Vue, plus SQL and relational or NoSQL databases.
- Understanding of data structures, APIs, real-time data processing and visualization, with the ability to work independently and collaboratively.
Nice to have
- Experience with Kubernetes or infrastructure-as-code tools such as Terraform or Ansible.
- Exposure to quantitative models or collaboration with quantitative analysts.
Culture & Benefits
- Work with technical and non-technical stakeholders across risk, trading, quantitative research, and market risk functions.
- Contribute to systems used daily by risk professionals, traders, and executives.
- Participate in code reviews and technical design discussions.
- Operate production systems supporting live financial markets.
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