ETrading Companies edge in energy derivatives is built on the quality of our pricing, volatility models, and risk management. As Staff Vol Options Quant Engineer you will sit at the boundary between rigorous financial research and production engineering - writing models that run live on the trading floor, priced in real time, monitored in production, and generating PnL. You will work directly with traders and risk managers in a true front office environment where the feedback loop between your research and market outcomes is immediate. This is not a research lab role. Requirements 10-15 years combined quant research and software engineering; minimum 5 years embedded in a front office (any asset class) Options pricing across the full surface - vanilla, spreads, and structured products in commodity or energy markets Vol surface calibration: smile fitting, SABR, SVI, Heston, or equivalent; arbitrage constraints and numerical stability in production Greeks and second-order risk: delta, gamma, vega, volga, vanna, theta; PnL attribution and daily risk reconciliation VaR, stressed VaR, and scenario analysis implementation; working knowledge of regulatory capital frameworks Commodity modelling: term structure, forward curve construction, seasonality, convenience yield, and basis risk Real-time pricing and risk system design - latency-aware implementation, incremental recalculation, and feed-driven revaluation Backtesting framework design: walk-forward validation, statistical significance testing, and performance attribution Production-quality Python and/or C++ - code an engineer can review, a CI pipeline can test, and an ops team can support kdb+/q, DB, or TimescaleDB for high-frequency time-series market data storage and analysis Ability to set a research agenda independently and communicate risk and findings clearly to senior traders and management Cloud infrastructure - Azure preferred, AWS considered; IAM, managed services, automated and auditable deployment pipelines, secrets management Nice to Have Market making, systematic execution, or electronic trading in energy or commodity derivatives Asian options, barrier structures, or path-dependent exotics common in commodity markets Machine learning applied to vol forecasting, regime detection, or execution cost optimisation Open-source quant library contributions, published research, or CQF/MFE/PhD in a quantitative discipline 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
Mar 31, 2026
Full time
ETrading Companies edge in energy derivatives is built on the quality of our pricing, volatility models, and risk management. As Staff Vol Options Quant Engineer you will sit at the boundary between rigorous financial research and production engineering - writing models that run live on the trading floor, priced in real time, monitored in production, and generating PnL. You will work directly with traders and risk managers in a true front office environment where the feedback loop between your research and market outcomes is immediate. This is not a research lab role. Requirements 10-15 years combined quant research and software engineering; minimum 5 years embedded in a front office (any asset class) Options pricing across the full surface - vanilla, spreads, and structured products in commodity or energy markets Vol surface calibration: smile fitting, SABR, SVI, Heston, or equivalent; arbitrage constraints and numerical stability in production Greeks and second-order risk: delta, gamma, vega, volga, vanna, theta; PnL attribution and daily risk reconciliation VaR, stressed VaR, and scenario analysis implementation; working knowledge of regulatory capital frameworks Commodity modelling: term structure, forward curve construction, seasonality, convenience yield, and basis risk Real-time pricing and risk system design - latency-aware implementation, incremental recalculation, and feed-driven revaluation Backtesting framework design: walk-forward validation, statistical significance testing, and performance attribution Production-quality Python and/or C++ - code an engineer can review, a CI pipeline can test, and an ops team can support kdb+/q, DB, or TimescaleDB for high-frequency time-series market data storage and analysis Ability to set a research agenda independently and communicate risk and findings clearly to senior traders and management Cloud infrastructure - Azure preferred, AWS considered; IAM, managed services, automated and auditable deployment pipelines, secrets management Nice to Have Market making, systematic execution, or electronic trading in energy or commodity derivatives Asian options, barrier structures, or path-dependent exotics common in commodity markets Machine learning applied to vol forecasting, regime detection, or execution cost optimisation Open-source quant library contributions, published research, or CQF/MFE/PhD in a quantitative discipline 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
About the Role We are seeking an experienced Application Support Analyst with deep expertise in Endur to join our team. The successful candidate will be responsible for providing hands-on support, troubleshooting, and issue resolution for business-critical applications, ensuring system stability and smooth day-to-day operations. Key Responsibilities Provide Level 2/3 support for Endur applications, ensuring timely incident and problem resolution. Monitor system performance, investigate issues, and coordinate with development teams for fixes. Manage change requests, enhancements, and system upgrades in line with business requirements. Liaise with stakeholders, including traders, risk managers, and IT teams, to ensure system reliability and alignment with business needs. Create and maintain technical documentation, runbooks, and support procedures. Required Skills & Experience 8-10 years of hands-on experience in Endur application support . Strong knowledge of energy/commodity trading workflows and processes. Excellent problem-solving, debugging, and analytical skills. Experience with incident, problem, and change management (ITIL framework preferred). Ability to work in a fast-paced, business-critical environment with strong communication skills. Nice to Have Exposure to cloud technologies (AWS and/or Azure) . Experience with automation and Scripting for support processes. Familiarity with DevOps practices and CI/CD pipelines.
Oct 07, 2025
Full time
About the Role We are seeking an experienced Application Support Analyst with deep expertise in Endur to join our team. The successful candidate will be responsible for providing hands-on support, troubleshooting, and issue resolution for business-critical applications, ensuring system stability and smooth day-to-day operations. Key Responsibilities Provide Level 2/3 support for Endur applications, ensuring timely incident and problem resolution. Monitor system performance, investigate issues, and coordinate with development teams for fixes. Manage change requests, enhancements, and system upgrades in line with business requirements. Liaise with stakeholders, including traders, risk managers, and IT teams, to ensure system reliability and alignment with business needs. Create and maintain technical documentation, runbooks, and support procedures. Required Skills & Experience 8-10 years of hands-on experience in Endur application support . Strong knowledge of energy/commodity trading workflows and processes. Excellent problem-solving, debugging, and analytical skills. Experience with incident, problem, and change management (ITIL framework preferred). Ability to work in a fast-paced, business-critical environment with strong communication skills. Nice to Have Exposure to cloud technologies (AWS and/or Azure) . Experience with automation and Scripting for support processes. Familiarity with DevOps practices and CI/CD pipelines.
Tech Commodity Trading Manager - IT Consulting Location: London, UK Conexus has partnered with a leading global consultancy to find an experienced Manager with a strong background in IT Consulting and Commodity Trading to join its Energy & Utilities practice. This role offers the opportunity to lead transformation initiatives at the intersection of business, technology, and trading operations. You will advise a diverse client base, including utilities, international oil companies, merchant traders, renewable developers, and digital trading start-ups, on how to optimise and modernise their IT landscapes. Projects span classical ETRM implementations, cloud-based platforms, real-time risk management, and digital/AI solutions. Key Responsibilities Lead end-to-end delivery of IT transformation projects in energy trading. Act as a trusted advisor to senior stakeholders, shaping IT strategy and trading capabilities. Manage cross-functional teams and drive client engagement. Develop and implement solutions across the energy trading value chain. Contribute to practice development and thought leadership. Required Experience & Qualifications Around 10 years of professional experience in IT consulting and project delivery. Deep expertise in Energy Trading IT systems (e.g., Endur, Allegro, Openlink). Strong understanding of short-term trading, market access, and data-centric platforms. Experience with international energy companies or commodity trading firms. Bachelor's degree in a STEM field (Computer Science preferred); Master's degree or certifications (e.g., PMP, Agile, Cloud) are a plus. Technical & Domain Expertise ETRM systems, market data platforms, and trading operations. Cloud-based architectures (Azure, AWS), APIs, microservices. Real-time data, forecasting, optimization, and algorithmic trading. Regulatory compliance (REMIT, EMIR) and risk frameworks (VaR, credit risk). If you have experience in delivering tech commodity trading projects and running teams, we'd love to hear from you.
Oct 04, 2025
Full time
Tech Commodity Trading Manager - IT Consulting Location: London, UK Conexus has partnered with a leading global consultancy to find an experienced Manager with a strong background in IT Consulting and Commodity Trading to join its Energy & Utilities practice. This role offers the opportunity to lead transformation initiatives at the intersection of business, technology, and trading operations. You will advise a diverse client base, including utilities, international oil companies, merchant traders, renewable developers, and digital trading start-ups, on how to optimise and modernise their IT landscapes. Projects span classical ETRM implementations, cloud-based platforms, real-time risk management, and digital/AI solutions. Key Responsibilities Lead end-to-end delivery of IT transformation projects in energy trading. Act as a trusted advisor to senior stakeholders, shaping IT strategy and trading capabilities. Manage cross-functional teams and drive client engagement. Develop and implement solutions across the energy trading value chain. Contribute to practice development and thought leadership. Required Experience & Qualifications Around 10 years of professional experience in IT consulting and project delivery. Deep expertise in Energy Trading IT systems (e.g., Endur, Allegro, Openlink). Strong understanding of short-term trading, market access, and data-centric platforms. Experience with international energy companies or commodity trading firms. Bachelor's degree in a STEM field (Computer Science preferred); Master's degree or certifications (e.g., PMP, Agile, Cloud) are a plus. Technical & Domain Expertise ETRM systems, market data platforms, and trading operations. Cloud-based architectures (Azure, AWS), APIs, microservices. Real-time data, forecasting, optimization, and algorithmic trading. Regulatory compliance (REMIT, EMIR) and risk frameworks (VaR, credit risk). If you have experience in delivering tech commodity trading projects and running teams, we'd love to hear from you.
Trading Platform Engineer - Trading & Supply Sector: Trading & Supply Location: Hybrid, 2 days a week in London Day rate: £650 - £750 (potentially higher for the right candidate) IR35: Inside Role Overview As a DevOps Engineer, you will be a hands-on member of a small, high-performing team responsible for global derivatives trading production environments. Both product teams and engineering backlogs will guide your work focused on improvements and technical debt. Key responsibilities include: Proactively manage critical end-to-end workflows, improving stability and resilience through close collaboration with delivery and infrastructure teams. Assist with troubleshooting and issue resolution across development, support, and technical business users. Serve as a subject matter expert for trading systems initiatives. Support scalable algorithmic trading technology in a compliant and flexible manner. Experience with algorithmic trading regulation, audit, and compliance (MiFID II & RTS6) is highly desirable. Participate in the global on-call rotation alongside other development engineers. Required Industry Knowledge Understanding of all major global futures exchanges. Knowledge of the full exchange-traded derivatives life cycle. Minimum 8 years' experience in Commodity Trading & Capital Markets/Investment Banking. Familiarity with market data providers (Bloomberg, Refinitiv) and liquidity aggregation platforms. Understanding of financial regulations such as MiFID II, EMIR, and FCA guidelines. 8+ years' experience with Real Time market data distribution platforms, feed handlers, and enterprise-level consolidated feeds. 8+ years' experience with time-series analytic frameworks (kdb, shakti, or similar technologies). Key experience: 10+ years' experience in Front Office application support and vendor management 8+ years' experience with FIX engineering , including vendor and exchange certification 8 years+ operational experience in supporting market data distribution platforms such as, Real Time Distribution Systems (RTDS) knowledge for DACS, ADH & ADS components Python, PowerShell, C#, SQL , or other Scripting/programming languages. 5+ years' operational experience supporting time-series frameworks (kdb, shakti) Experience with messaging systems and debugging network protocols (TCP, multicast) Knowledge of third-party networks and EMS/OMS software vendors (TT, NYFIX, Bloomberg, TradingScreen) Strong understanding of the trading life cycle Minimum 8 years' experience in Commodity Trading & Capital Markets/Investment Banking Soft Skills Excellent communication skills, interacting with traders, developers, and stakeholders. Thrives in high-pressure trading environments alongside traders, developers, and engineering teams. Proactive, self-motivated, flexible, with a positive attitude. Ability to work under demanding deadlines with changing priorities in a trading room environment.
Oct 01, 2025
Contractor
Trading Platform Engineer - Trading & Supply Sector: Trading & Supply Location: Hybrid, 2 days a week in London Day rate: £650 - £750 (potentially higher for the right candidate) IR35: Inside Role Overview As a DevOps Engineer, you will be a hands-on member of a small, high-performing team responsible for global derivatives trading production environments. Both product teams and engineering backlogs will guide your work focused on improvements and technical debt. Key responsibilities include: Proactively manage critical end-to-end workflows, improving stability and resilience through close collaboration with delivery and infrastructure teams. Assist with troubleshooting and issue resolution across development, support, and technical business users. Serve as a subject matter expert for trading systems initiatives. Support scalable algorithmic trading technology in a compliant and flexible manner. Experience with algorithmic trading regulation, audit, and compliance (MiFID II & RTS6) is highly desirable. Participate in the global on-call rotation alongside other development engineers. Required Industry Knowledge Understanding of all major global futures exchanges. Knowledge of the full exchange-traded derivatives life cycle. Minimum 8 years' experience in Commodity Trading & Capital Markets/Investment Banking. Familiarity with market data providers (Bloomberg, Refinitiv) and liquidity aggregation platforms. Understanding of financial regulations such as MiFID II, EMIR, and FCA guidelines. 8+ years' experience with Real Time market data distribution platforms, feed handlers, and enterprise-level consolidated feeds. 8+ years' experience with time-series analytic frameworks (kdb, shakti, or similar technologies). Key experience: 10+ years' experience in Front Office application support and vendor management 8+ years' experience with FIX engineering , including vendor and exchange certification 8 years+ operational experience in supporting market data distribution platforms such as, Real Time Distribution Systems (RTDS) knowledge for DACS, ADH & ADS components Python, PowerShell, C#, SQL , or other Scripting/programming languages. 5+ years' operational experience supporting time-series frameworks (kdb, shakti) Experience with messaging systems and debugging network protocols (TCP, multicast) Knowledge of third-party networks and EMS/OMS software vendors (TT, NYFIX, Bloomberg, TradingScreen) Strong understanding of the trading life cycle Minimum 8 years' experience in Commodity Trading & Capital Markets/Investment Banking Soft Skills Excellent communication skills, interacting with traders, developers, and stakeholders. Thrives in high-pressure trading environments alongside traders, developers, and engineering teams. Proactive, self-motivated, flexible, with a positive attitude. Ability to work under demanding deadlines with changing priorities in a trading room environment.
