Job Description:

Top tier Energy Trading client requires a senior C++ Pythom Quant Strat develop core components for the new Risk & PnL engine:

• Technical excellence: Implement clean, well-documented, tested, and extensible code
• Ownership: Be responsible for the performance and reliable operation of core components of the new Risk & PnL engine
• Teamwork: Collaborate closely with the rest of the team to implement high-performance pricers for our full spectrum of physical and financial trades
• Architectural vision: Ensure integration in broader Vitol infrastructure and systems, develop an overall understanding of our systems architecture and become a sparring partner to the Risk Architect

• 8+ years' experience/full proficiency in C++ 17/20 Some familiarity with Python
  • Ability to architect and implement code to address high-level requirements
  • Experience implementing high-performance algorithms & grid computations
• Master's/PhD in computer science, applied mathematics, financial engineering, or an equivalent field from a top university
• Strong sense of ownership, ability to work independently as well as in a team
• Interest in business and how end users will use the product
• Excellent communication and interpersonal skills.
• Full proficiency communicating in English in a business context (verbal & written)

• Substantial prior experience with implementing or working with a Risk & PnL engine
• Interest in financial and commodities markets
• SysAdmin experience, e.g. cloud infrastructure, Redis, Kafka, CMake, network sockets tech

Candidate would have architected and delivered complex systems against ambiguous high level requirements and built high performance algorithms and grid/compute heavy code.

To find out more about Huxley, please visit (url removed)

Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales