5 of 5 Risk Analytics Jobs in London

featured on the Sifted 100 UK startups - among only 25 companies to have made the list over both years 2024 and 2025. We are seeking a skilled Consumer Credit Risk Strategy Analyst with 3+ years of experience in the UK credit markets, specifically within personal loans for debt consolidation. The successful candidate will play a critical role in assessing … monitoring, and optimising credit risk strategies to ensure a balanced approach between risk management and business growth. Key Responsibilities: Conduct portfolio analytics to assess risk trends, customer behaviour, and loan performance. Analyse credit data, customer profiles, and market trends to enhance underwriting criteria. Work closely with stakeholders to optimise credit policies and improve lending strategies. Utilise … statistical and machine learning techniques to support data-driven risk assessment methodologies. Monitor key performance indicators (KPIs) related to loan approvals, delinquencies, and charge-offs. Requirements Required Skills & Experience: 3+ years of experience in a credit risk role, preferably within personal loans and debt consolidation in the UK. Strong understanding of credit scoring models, risk analytics More ❯

App first credit card that empowers customers to build their credit score while meeting their spending and borrowing needs sustainably. We're looking for an analytical, commercially-minded Strategy Analytics Manager to help us grow and scale the product exponentially. This is a dynamic role where you'll tackle high impact business problems across a number of disciplines including … pricing, financial forecasting, growth, credit risk, new product development and product analytics. You'll work cross-functionally to deliver insight-driven strategies that optimise performance, drive responsible growth, and put the customer at the heart of decision-making. You'll operate in a fast-paced environment where ideas matter more than hierarchy, and execution beats bureaucracy. Your work will … funnel performance, identifying opportunities to improve cost and conversion efficiency. Stay abreast of industry trends and competitor activity to ensure our products remain fit for purpose. Financial forecasting & portfolio analytics: Collaborate closely with the Credit Risk Analytics, Growth and Data Science teams to understand how our products and portfolio are performing at a granular sub-segment level. More ❯

Quant Developer - Pricing & Risk Technology Location: London* Function: Trading Technology/Pricing & Risk Development* Reports To: Pricing and Risk Development Lead - London* Type: Full-Time, contract, onsite This global trading and investment group operates across energy, commodities, and financial markets, combining advanced quantitative methods with large-scale technology infrastructure. Its London engineering hub plays a central role … in developing analytics that power Front Office trading, pricing, and risk systems across oil, power, gas, and equity products. Overview The Quant Developer will design, enhance, and maintain Python-based pricing and valuation libraries used across global trading desks. These libraries underpin Real Time and end-of-day risk workflows and ensure consistency between valuation, risk … with a solid grasp of financial mathematics and derivatives pricing, capable of implementing and optimising complex models in a production setting. Key Responsibilities Develop and maintain Python pricing and risk libraries covering vanilla and structured options across commodities and equities. Implement and calibrate models such as Black-Scholes, Heston, SABR, and Monte Carlo-based approaches for structured instruments (APOs More ❯

highly regarded Financial Services entity's London office. This role offers the possibility to play a key role in building mission-critical financial applications that power trading, investment, and risk management systems across the firm. Key Responsibilities: Design, develop, and maintain high-performance Back End services using GoLang to support financial applications and services, including trading platforms, investment systems … and risk management tools. Build and deploy cloud-based solutions using Amazon Web Services (AWS), including services such as EC2, S3, RDS, DynamoDB, and Lambda to create scalable, reliable, and secure infrastructure. Implement and manage containerized applications using Docker/Kubernetes, ensuring seamless orchestration, scaling, and resilience in a cloud environment. Write clean, efficient, and well-documented code while … Kubernetes for deploying, managing, and scaling containerized applications in a cloud environment. Solid understanding of financial systems and services, particularly in areas such as trading platforms, investment management, and risk analytics. Experience in building microservices architectures and working with APIs (RESTful, gRPC, etc.) to integrate various systems. Strong knowledge of containerization (Docker) and continuous integration/deployment (CI/ More ❯

Location: Central London (Hybrid) Package: £140,000 - £175,000 Department: Trading Technology/Front & Middle Office Platforms We're an energy trading business building the next generation of pricing, risk, and scheduling platforms as we expand into power and environmental products (PPAs, Guarantees of Origin, carbon certificates) alongside our core gas/LNG activities. You'll join a tight … knit engineering team that ships high-impact software used by traders, schedulers, and risk analysts every day. If you enjoy solving real-time systems challenges, writing clean C# in cloud-first architectures, and partnering with the desk, this role is for you. Design & build resilient C#/.NET services and APIs powering pricing, market data ingestion, trade capture, and … risk analytics. Integrate with ETRM/CTRM platforms (e.g., Endur, in-house risk engines) and external renewables data sources (generation forecasts, certificates registries). Deliver low-latency components for live pricing, trade workflows, and PnL/exposure reporting across gas, power, and environmental products. Automate data pipelines (e.g., SSIS/Azure Data Factory) and implement robust testing (unit More ❯