Cititec Talent Limited

Cititec Talent is partnering with a respected Capital Markets firm that is looking to hire a Senior Full Stack Engineer to join their growing team. The successful candidate will build a digital capability to streamline business processes, digital transformation, and unify technology tools across various platforms. Key Responsibilities: Assess current processes to identify improvement opportunities. Create user stories and customer journeys to highlight pain points. Work with stakeholders to design products using sketches, wireframes, and prototypes and communicate design choices to leadership. Develop business cases to evaluate digitisation value. Ensure product quality aligns with standards and user expectations. Convert user feedback into actionable improvements. Architect solutions with AWS and microservices, using CI/CD for automated deployment. Track product performance, support maintenance needs, and oversee application delivery. Plan user training and implement best practices in digital product design. Experience Required: 5 + years of experience in a Full Stack engineering capacity, with a strong focus on digital transformations and the design and digitisation of processes into user-focused digital products. Proficient in Cloud technologies and web development tools, including Angular, ReactJS, NodeJS, Java Spring Boot, and AWS services like Step Functions and Lambda. Python knowledge is a plus. Knowledge of UI/UX standards, trends and tools, with experience in delivering designs to developers with clear, detailed documentation. Proven ability to work in cross-functional, global teams and influence stakeholders at all levels. Office Days: 4 days per week in the office, 1 working from home.

Quant Developer Commodities London, UK We are seeking an experienced Quant Developer with a strong background in commodities and a proven track record in market risk and pricing models. In this role, you will leverage your quantitative expertise and programming skills to develop and enhance tools that support trading strategies, risk assessment, and pricing analytics. Key Responsibilities: Design and implement sophisticated models for risk, pricing, and Value at Risk (VaR) calculations, with a focus on commodities. Collaborate with trading and risk teams to support market and counterparty risk assessment, leveraging tools like Monte Carlo simulations and time series analysis. Develop and optimize pricing models with attention to market factors such as seasonality and volatility. Implement counterparty risk frameworks, including PFE and XVA, using factor-based approaches and correlation analytics. Key Requirements: Advanced degree in Mathematics, Statistics, Financial Engineering, or a related quantitative field. 5+ years of experience as a Quant Developer, Quant Strategist, or Quantitative Analyst in a Hedge Fund, Oil Major, Commodities Trading House, or Bank. Deep understanding of commodities derivatives, options pricing, and risk factors. Advanced Python programming skills, with a strong focus on problem-solving and troubleshooting.

Job Advert: Risk Technical Analyst Location: Toronto, Canada Type: Full-Time Join a leading commodities and energy trading firm known for innovation, integrity, and a collaborative culture. My client are seeking a Risk Technical Analyst to join their Toronto team. You will help transform our risk management by decommissioning Legacy systems and transitioning to our new cloud-based platform, Mosaic. This role is ideal for those transitioning from Middle Office or Risk roles into tech and data science within the trading sector. Key Responsibilities: Assist with decommissioning Legacy risk systems. Support data migration to a cloud-based data lake. Provide technical and risk management tool support. Collaborate with the COO/CRO and cross-functional teams. Apply SQL, Python, and market risk fundamentals to analysis. Qualifications: Bachelor's in Finance, Computer Science, Engineering, or related field. 5-7 years' experience in risk support/analysis. Basic SQL & Python proficiency; exposure to commodities preferred. Strong analytical, communication, and collaborative skills.