4 дня назад
Equity Derivatives Risk Developer (Python)
150 000 - 170 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Equity Derivatives Risk Developer (Python) (Risk Technology): Building and operating equity-volatility risk platforms that capture derivatives positions, calculate Greek surfaces, aggregate exposures, and deliver real-time risk data with an accent on distributed systems, large-scale data pipelines, and numerical correctness. Focus on productionizing quantitative models, optimizing low-latency and distributed compute workloads, and building reliable APIs, dashboards, monitoring, and limit frameworks for risk managers and portfolio managers.
Location: London, United Kingdom
Base salary: £150,000–£170,000, plus discretionary bonus and comprehensive benefits.
Company
is a global hedge fund operating across multiple regions, asset classes, and markets.
What you will do
- Design, build, and own risk calculation, exposure aggregation, and real-time monitoring services for options, futures, swaps, and cash equities.
- Develop APIs, streaming services, dashboards, limit frameworks, breach detection, alerting, and drill-down tooling for risk managers and portfolio managers.
- Build resilient pipelines and analytical data stores for positions, trades, market data, historical risk, stress replays, and time-travel queries.
- Productionize quantitative risk models and maintain pricing, valuation, and sensitivity infrastructure with numerical validation.
- Improve reliability and performance through profiling, caching, concurrency, vectorization, distributed compute, automated recovery, and operational monitoring.
- Set engineering standards, lead architectural decisions, mentor junior developers, and collaborate with risk, trading technology, data, security, and platform teams.
Requirements
- 5+ years of experience building and operating production systems, with deep Python expertise and experience in at least one systems language.
- Strong knowledge of distributed systems, concurrency, service and API design, automated testing, CI/CD, observability, and infrastructure as code.
- Proficiency with SQL, analytical or columnar data stores, streaming and messaging systems such as Kafka or Redis, and workflow orchestration such as Airflow or Dagster.
- Hands-on experience with containers, Kubernetes, a major cloud platform, and grid or distributed compute frameworks.
- Experience in a hedge fund, asset manager, investment bank, or similar institution, ideally supporting risk, valuation, or front-office systems.
- Working familiarity with derivatives, multi-asset instruments, VaR, stress testing, sensitivities, limits, margin, and financing; a BS/MS in a quantitative field is required.
Culture & Benefits
- End-to-end ownership of platforms used for daily trading and risk operations.
- Close collaboration with risk managers and portfolio managers and direct visibility into business impact.
- Engineering work focused on latency, scale, reliability, and correctness using modern infrastructure.
- Global exposure across regions, asset classes, and markets.
- Discretionary bonus, comprehensive benefits, and opportunities for professional growth and leadership.
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