Kieran Knight Consulting Ltd

Principal Quantitative Engineer - SOLE AGENT An exciting opportunity to join a world-class investment environment, driving innovation at the intersection of finance and technology. As Principal Quantitative Engineer, you will shape in-house data capabilities, enhance financial modelling, and directly influence high-value investment decisions. The Role You'll design and implement a robust data warehouse, integrating diverse financial datasets into a scalable platform. Your work will support advanced modelling, analytics, and automated reporting - enabling investment teams to operate with speed, accuracy, and insight. This is a highly visible role where your solutions will have a lasting impact on strategy and performance. What You'll Bring Strong programming and database expertise (SQL, Snowflake, Spark, or similar) Python Experience in financial products (bank loans, leveraged loans, Fixed Income, CLOs, derivatives, ABS, CMBS). Proven knowledge of data modelling, architecture design, and governance. Familiarity with visualization tools (Tableau, Power BI) or Intex is a plus. A proactive, collaborative approach with a passion for problem-solving. Why Apply Play a key role in shaping next-generation quantitative infrastructure. Influence strategic decisions in a high-performing global investment setting. Drive innovation in asset-backed investment analytics and modelling. Long-term career potential with significant visibility and impact. If you're a driven Quantitative Engineer looking to apply your skills in a fast-paced investment environment, we would love to hear from you.

Fixed Income Data Scientist - London Join a high-performing global investment environment where data is at the core of decision-making. This is a unique opportunity to build cutting-edge data capabilities from the ground up, directly influencing how investments are analysed, modelled, and executed. The Role You'll take ownership of designing and implementing an in-house data warehouse, integrating diverse sources into a scalable, high-performing platform. Your work will enable advanced analytics, drive automation, and create long-term foundations for forecasting and performance modelling. You'll partner closely with investment teams, ensuring your solutions have direct and visible business impact. What You'll Bring Strong programming and database expertise (SQL, Snowflake, Spark or similar). Proven experience with data pipelines/integration tools (DBT, Dagster). Solid understanding of data modelling, architecture, and cloud infrastructure. Exposure to visualization tools (Tableau, Power BI) or Intex is a plus. A proactive mindset with the drive to innovate and collaborate globally. Why Apply Shape the data strategy within a world-class investment setting. Build scalable solutions that reduce reliance on external providers. Work at the intersection of technology and finance, solving complex real-world challenges. Long-term career potential with the chance to influence future data initiatives. This represents an excellent opportunity to join a fast top tier company, if your profile matches the above, please send your CV for full details.

Senior Data Analytics Engineer - SOLE AGENT We are working with a leading global financial services organisation seeking a Senior Data Analytics Engineer to join its London team. This role will play a key part in building data infrastructure, enabling advanced analytics, and supporting critical decision-making across the business. Role Overview: Design and implement robust data solutions, including warehouse and pipeline development. Work closely with stakeholders to integrate diverse data sources into scalable platforms. Drive improvements in data quality, governance, and consistency. Enable advanced reporting, modelling, and visualisation to support investment and operational teams. Contribute to long-term data initiatives such as forecasting, automation, and performance analytics. Key Skills & Experience: Strong programming skills with experience in SQL and modern data platforms. Hands-on experience building and optimising data pipelines. Solid understanding of data modelling and architecture. Exposure to cloud environments and containerised systems (eg Docker, Kubernetes) is a plus. Familiarity with Business Intelligence or visualisation tools (Power BI, Tableau, etc.). Strong problem-solving abilities and a collaborative, proactive approach. What's on Offer: High-profile role within a global investment environment. Opportunity to shape and scale data platforms from the ground up. Career progression with exposure to advanced analytics and modelling. Location: London (on-site) Employment Type: Permanent If you are a data-focused professional looking to apply your expertise in a fast-paced global environment, please send your CV.