- Location
- London, England, United Kingdom · published
- Type
- Full-time
- Department
- IT
- Source
- Workable
Description
The firm
Fasanara Capital is a global alternative asset manager, offering access to a range of inventive multi-asset capacity-constrained niche products. Over the past 10 years we are pursuing unorthodox portfolio construction and unconventional investment strategy is a response to today’s transformational markets.
Fasanara Digital was established 7 years ago and is the crypto arm of Fasanara Capital, a 14 year-old boutique alternative asset manager. We are a Quantitative Investment fund applying a scientific approach to investing in crypto assets. Our goal is to achieve exceptional risk-adjusted returns. We pursue a range of diversified and highly sophisticated investment strategies that seek to profit from inefficiencies in the market structure and range from market making to cross-exchanges arbitrage.
About the Role
Fasanara Digital is looking for a High-Frequency Trading Operations Engineer to help keep our trading platform running reliably. You will be the first line of response for issues across our trading infrastructure, working closely with development, quantitative research and trading teams, as well as external exchanges and brokers. This role suits someone who likes solving problems in a fast-paced, high-stakes environment and wants to build a career at the intersection of technology and financial markets.
Key Responsibilities
- Monitor the trading infrastructure and investigate issues in real time, identifying root causes and driving them to resolution.
- Triage incidents and coordinate with development, quantitative research and trading teams so issues are prioritised and resolved efficiently.
- Act as the main point of contact with exchanges and brokers on operational matters, including connectivity problems, latency degradation and order rejections.
- Track exchange API changes and upgrades, and coordinate their adoption across internal teams.
- Support development teams in planning, testing and safely deploying system changes to production.
- Use the latest AI tools to improve operational efficiency, automate routine tasks and strengthen platform monitoring.