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| Job Location | London |
| Education | Not Mentioned |
| Salary | Competitive salary |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent , full-time |
This person will take a crucial position in the redesign of the risk platform. This is a firm-wide tool that touches every aspect of a global business in every energy / financial asset class (Power, Gas, Oil, LNG, Carbon Certificates etc). You will joina top team of; Traders, Quants, Software Engineers and Data Scientists in a group that are thought leaders within the energy trading space. Role: Work directly with Chief Risk Architect to build out the core components of the new risk platform Collaborateclosely with quant teams to implement high-performance pricers for full spectrum of physical and financial trades Integrate proprietary market feeds and internally generated data into the risk platform to provide intra-day, near real-time functionality tousers Architect APIs to expose functionality to trading desks and to various GUIs In the initial stages, help define and configure the platforms infrastructure, based on platform scalability requirements and in close exchange with Risk Architect Partner withtraders and Commercial Analysts globally to refine the platforms functions using real-life trades from selected pilot desks Strive to implement clean, well-documented, tested, and extensible code The ideal candidate: 5+ years experience/full proficiencyin C++; 2+ years experience in Python Substantial prior experience with implementing a risk/pricing/trade valuation engine in C++ Versatile, well-rounded software engineering skills; outstanding analytical ability to break down requirements into componentsand architect a system that fully addresses these requirements Ability to rapidly learn new functional and technical concepts and apply them to a given challenge Experience implementing high-performance algorithms & grid computations Masters/PhD in computerscience, applied mathematics, financial engineering, or an equivalent field from a top university Entrepreneurial drive to build a completely new risk system within a small core quant/dev team Excellent communication and interpersonal skills to drive interactionswith stakeholders Self-motivated with the ability to prioritize and meet agreed-upon deadlines Excellent English oral and written skills Additional desirable qualifications: Experience with parallel programming, high-frequency data processing, algorithmictrading, or similar SysAdmin experience, e.g. cloud infrastructure, Redis, Kafka, CMake, network sockets tech Prior exposure to third-party risk platforms (such as Beacon), e.g. as a user in a quant team Prior experience with financial and physical energycommodities trading, especially power trading