N P Associates
Senior Technical Business Analyst - Financial Banking Candidates will come from highly technical background with a track record of delivering complex, low-level code systems (e.g. C++, Java), with strong knowledge of performance optimisation and latency management along with Networking (TCP, UDP, multicast) and low latency data distribution. Ideally these skills will have been gained in a Low Latency Financial / Banking / Trading arena with some business knowledge (Equities, Fixed Income, Futures & Options) but candidates from other domains such as Streaming, Telecoms, Defence and Gaming where latency is a priority will also be considered. Responsibilities and Duties Requirements gathering - Work closely with other product managers, developers and architects to translate business needs into clear, technically robust specifications, identifying dependencies, interfaces, and technical constraints. Technical roadmap ownership - Work with architects and engineers to maintain the technical roadmap, identifying areas of technical debt or new application components across distributed systems. Technical documentation - Produce and maintain detailed technical and functional documentation, including API specifications, configuration workflows, and integration guides. Stakeholder engagement - Act as a central communication point between product, engineering, infrastructure, and operations, ensuring alignment of objectives and expectations. Process improvement - Identify inefficiencies in workflows, proposing automation or process improvements. Project management - Drive delivery of software and hardware initiatives, managing scope, timelines, and dependencies across cross-functional teams. Risk assessment - Anticipate technical and operational risks to delivery, proposing mitigations early in the project lifecycle. Required Skills/Experience The successful candidate will have a strong and positive work ethic with the ability to forge lasting relationships (both internal and external) at all levels. The appetite and ability to learn in the role is a must. Essential Proven track record of specifying and delivering complex, low-level code systems (e.g. C++, Java), with strong knowledge of performance optimisation, latency management, concurrency, and integration considerations. Strong knowledge of networking principles (TCP, UDP, multicast) and experience designing for resilience, throughput, and low-latency data distribution. Expertise in distributed computing and system architectures, including microservices and high-throughput, low-latency systems. Strong knowledge of data architecture and database design, with experience across relational, time-series, and high-availability database environments. Understanding of on-premises Linux-based infrastructure, and deploying and managing containerised/virtualised environments (AWS, OpenShift). Demonstrated ability to work within Agile/Scrum SDLC, translating business objectives into actionable user stories and robust technical deliverables. Proven ability to produce and maintain high-quality technical documentation and API specifications suitable for both engineering and client consumption. Desirable Experience working with an electronically traded asset class. Strong business and technical understanding of exchange-based order book methodologies such as CLOB, auctions, dark trading, pegged orders and more. Familiarity with FIX trading protocol and market data systems. Experience working in a highly regulated environment.
Senior Technical Business Analyst - Financial Banking Candidates will come from highly technical background with a track record of delivering complex, low-level code systems (e.g. C++, Java), with strong knowledge of performance optimisation and latency management along with Networking (TCP, UDP, multicast) and low latency data distribution. Ideally these skills will have been gained in a Low Latency Financial / Banking / Trading arena with some business knowledge (Equities, Fixed Income, Futures & Options) but candidates from other domains such as Streaming, Telecoms, Defence and Gaming where latency is a priority will also be considered. Responsibilities and Duties Requirements gathering - Work closely with other product managers, developers and architects to translate business needs into clear, technically robust specifications, identifying dependencies, interfaces, and technical constraints. Technical roadmap ownership - Work with architects and engineers to maintain the technical roadmap, identifying areas of technical debt or new application components across distributed systems. Technical documentation - Produce and maintain detailed technical and functional documentation, including API specifications, configuration workflows, and integration guides. Stakeholder engagement - Act as a central communication point between product, engineering, infrastructure, and operations, ensuring alignment of objectives and expectations. Process improvement - Identify inefficiencies in workflows, proposing automation or process improvements. Project management - Drive delivery of software and hardware initiatives, managing scope, timelines, and dependencies across cross-functional teams. Risk assessment - Anticipate technical and operational risks to delivery, proposing mitigations early in the project lifecycle. Required Skills/Experience The successful candidate will have a strong and positive work ethic with the ability to forge lasting relationships (both internal and external) at all levels. The appetite and ability to learn in the role is a must. Essential Proven track record of specifying and delivering complex, low-level code systems (e.g. C++, Java), with strong knowledge of performance optimisation, latency management, concurrency, and integration considerations. Strong knowledge of networking principles (TCP, UDP, multicast) and experience designing for resilience, throughput, and low-latency data distribution. Expertise in distributed computing and system architectures, including microservices and high-throughput, low-latency systems. Strong knowledge of data architecture and database design, with experience across relational, time-series, and high-availability database environments. Understanding of on-premises Linux-based infrastructure, and deploying and managing containerised/virtualised environments (AWS, OpenShift). Demonstrated ability to work within Agile/Scrum SDLC, translating business objectives into actionable user stories and robust technical deliverables. Proven ability to produce and maintain high-quality technical documentation and API specifications suitable for both engineering and client consumption. Desirable Experience working with an electronically traded asset class. Strong business and technical understanding of exchange-based order book methodologies such as CLOB, auctions, dark trading, pegged orders and more. Familiarity with FIX trading protocol and market data systems. Experience working in a highly regulated environment.
Tenth Revolution Group
GenAI Lead- £125,000- Hybrid We are seeking a strategic and innovative leader to drive the vision, development, and delivery of generative AI solutions within the financial services sector, including banking, capital markets, and insurance. In this role, you will shape and execute the generative AI strategy, identifying high-impact opportunities to enhance business performance, unlock new revenue streams, and address industry-specific challenges through cutting-edge AI technologies. You will partner closely with senior clients and internal stakeholders to align AI initiatives with strategic business objectives, ensuring all solutions are scalable, ethical, and compliant with relevant financial regulations and privacy laws. Key responsibilities include overseeing the design, development, and deployment of generative AI models tailored to financial services use cases, such as algorithmic trading, fraud detection, risk management, customer personalization, and regulatory compliance. As a team leader, you will recruit, mentor, and manage a high-performing group of AI specialists, fostering a culture of collaboration, innovation, and continuous learning. You'll drive knowledge sharing and professional development within the team, while also ensuring delivery excellence across all AI engagements. You will lead the integration of state-of-the-art technologies such as GPT-4, Transformers, Diffusion Models, DALL E, Deep Reinforcement Learning (DRL), and other Large Language Models (LLMs), applying them to deliver measurable business value. In collaboration with data scientists, AI engineers, and business analysts, you will ensure solutions are not only technically robust but also aligned with the unique needs and constraints of financial services clients. The ideal candidate will bring a strong blend of domain expertise, technical leadership, and strategic vision. You should have a proven track record of delivering successful AI initiatives in the financial services industry, deep familiarity with AI model development and deployment, and the ability to influence both internal and external stakeholders. Key Responsibilities: Lead the end-to-end strategy, design, and delivery of generative AI solutions for financial services clients. Identify and develop new AI-driven offerings that address client pain points and create business value. Align AI initiatives with broader business goals and regulatory requirements. Build and manage a high-performing AI team; lead recruitment, coaching, and professional development efforts. Champion a culture of innovation, collaboration, and continuous improvement. Drive the adoption and integration of advanced technologies including GPT-4, LLMs, Diffusion Models, and DRL. Stay current on emerging AI trends and financial services developments to inform product direction and client strategy. Ensure all AI solutions adhere to legal, ethical, and compliance standards specific to the financial industry. Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Extensive experience leading AI-driven projects in financial services (banking, capital markets, or insurance). Deep expertise in generative AI technologies, including GPT, Transformers, DALL E, Stable Diffusion, DRL, and LLMs. Strong knowledge of financial services applications such as algorithmic trading, fraud detection, risk analytics, and regulatory compliance. Proven success in building and leading AI teams, and delivering complex, high-impact AI solutions. Experience with cloud-based AI platforms (AWS, Azure, GCP) and frameworks such as TensorFlow and PyTorch. Excellent communication and stakeholder management skills, with the ability to influence at the executive level. Deep understanding of the regulatory, ethical, and operational considerations of AI in the financial services industry. To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
GenAI Lead- £125,000- Hybrid We are seeking a strategic and innovative leader to drive the vision, development, and delivery of generative AI solutions within the financial services sector, including banking, capital markets, and insurance. In this role, you will shape and execute the generative AI strategy, identifying high-impact opportunities to enhance business performance, unlock new revenue streams, and address industry-specific challenges through cutting-edge AI technologies. You will partner closely with senior clients and internal stakeholders to align AI initiatives with strategic business objectives, ensuring all solutions are scalable, ethical, and compliant with relevant financial regulations and privacy laws. Key responsibilities include overseeing the design, development, and deployment of generative AI models tailored to financial services use cases, such as algorithmic trading, fraud detection, risk management, customer personalization, and regulatory compliance. As a team leader, you will recruit, mentor, and manage a high-performing group of AI specialists, fostering a culture of collaboration, innovation, and continuous learning. You'll drive knowledge sharing and professional development within the team, while also ensuring delivery excellence across all AI engagements. You will lead the integration of state-of-the-art technologies such as GPT-4, Transformers, Diffusion Models, DALL E, Deep Reinforcement Learning (DRL), and other Large Language Models (LLMs), applying them to deliver measurable business value. In collaboration with data scientists, AI engineers, and business analysts, you will ensure solutions are not only technically robust but also aligned with the unique needs and constraints of financial services clients. The ideal candidate will bring a strong blend of domain expertise, technical leadership, and strategic vision. You should have a proven track record of delivering successful AI initiatives in the financial services industry, deep familiarity with AI model development and deployment, and the ability to influence both internal and external stakeholders. Key Responsibilities: Lead the end-to-end strategy, design, and delivery of generative AI solutions for financial services clients. Identify and develop new AI-driven offerings that address client pain points and create business value. Align AI initiatives with broader business goals and regulatory requirements. Build and manage a high-performing AI team; lead recruitment, coaching, and professional development efforts. Champion a culture of innovation, collaboration, and continuous improvement. Drive the adoption and integration of advanced technologies including GPT-4, LLMs, Diffusion Models, and DRL. Stay current on emerging AI trends and financial services developments to inform product direction and client strategy. Ensure all AI solutions adhere to legal, ethical, and compliance standards specific to the financial industry. Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Extensive experience leading AI-driven projects in financial services (banking, capital markets, or insurance). Deep expertise in generative AI technologies, including GPT, Transformers, DALL E, Stable Diffusion, DRL, and LLMs. Strong knowledge of financial services applications such as algorithmic trading, fraud detection, risk analytics, and regulatory compliance. Proven success in building and leading AI teams, and delivering complex, high-impact AI solutions. Experience with cloud-based AI platforms (AWS, Azure, GCP) and frameworks such as TensorFlow and PyTorch. Excellent communication and stakeholder management skills, with the ability to influence at the executive level. Deep understanding of the regulatory, ethical, and operational considerations of AI in the financial services industry. To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
