City of London, Greater London, UK Hybrid / WFH Options
Realtime Recruitment
within Payroc's ecosystem. This role involves defining platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application More ❯
East London, London, United Kingdom Hybrid / WFH Options
Realtime Recruitment
within Payroc's ecosystem. This role involves defining platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Realtime Recruitment
within Payroc's ecosystem. This role involves defining platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application More ❯
within Payroc's ecosystem. This role involves defining platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application More ❯
within Payroc's ecosystem. This role involves defining platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application More ❯
Central London / West End, London, United Kingdom Hybrid / WFH Options
Realtime Recruitment
within Payroc's ecosystem. This role involves defining platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Realtime Recruitment
within Payroc's ecosystem. This role involves defining platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application More ❯
london (city of london), south east england, United Kingdom Hybrid / WFH Options
Realtime Recruitment
within Payroc's ecosystem. This role involves defining platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application More ❯
london (west end), south east england, United Kingdom Hybrid / WFH Options
Realtime Recruitment
within Payroc's ecosystem. This role involves defining platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application More ❯
pivotal in supporting strategic decision-making through robust financial planning, forecasting, and insightful analysis. You'll leverage data from various systems to build comprehensive analytics and provide key performance insights to senior leadership. What you'll bring to the table: Proven experience in building and maintaining complex financial models for More ❯
Bachelor's degree or experience in a quantitative field (Mathematics, Computer Science or Engineering). At least 1 - 2 years of experience in quantitative analytics or data modelling. Deep understanding of predictive modelling, machine learning, clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). More ❯
/augmented reality • Strong understanding of software development principles and experience working with programming languages such as Python, Java, or C++ • Experience with data analytics and visualization tools • Excellent problem-solving and analytical skills • Ability to communicate complex technical concepts to non-technical individuals • Strong project management skills and ability More ❯
Bachelor's degree or experience in a quantitative field (Mathematics, Computer Science or Engineering). At least 1 - 2 years of experience in quantitative analytics or data modelling. Deep understanding of predictive modelling, machine learning, clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). More ❯
Bachelor's degree or experience in a quantitative field (Mathematics, Computer Science or Engineering). At least 1 - 2 years of experience in quantitative analytics or data modelling. Deep understanding of predictive modelling, machine learning, clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). More ❯
in Financial Services is a plus, but not essential. Why Join? Play a pivotal role in a cloud transformation journey using modern data and analytics platforms . Gain experience with emerging technologies including Python, Azure, and Databricks . Join a stable, globally recognised organisation with a strong culture of innovation. More ❯
to complex actuarial problems, enhancing traditional actuarial models. Work on real-world client projects across a variety of sectors. Build bespoke models and predictive analytics tools. Collaborate with a team of actuaries, data scientists, and consultants on innovative solutions. Support actuarial modelling and reporting, with a strong data-driven and More ❯
in Financial Services is a plus, but not essential. Why Join? Play a pivotal role in a cloud transformation journey using modern data and analytics platforms . Gain experience with emerging technologies including Python, Azure, and Databricks . Join a stable, globally recognised organisation with a strong culture of innovation. More ❯
london, south east england, United Kingdom Hybrid / WFH Options
twentyAI
in Financial Services is a plus, but not essential. Why Join? Play a pivotal role in a cloud transformation journey using modern data and analytics platforms . Gain experience with emerging technologies including Python, Azure, and Databricks . Join a stable, globally recognised organisation with a strong culture of innovation. More ❯
Analyst Description Our team provides data & automation infrastructure to enable commercial insights for EMEIA Sales Finance and EMEIA Sales. Our team are superusers of analytics & BI platforms (e.g. Tableau, SAP BusinessObjects, and various internal tools), databases (e.g. Dremio, Snowflake), and data science platforms (e.g. Dataiku). We help to train More ❯
to influence and work with underwriting leaders, IT teams, and external partners. Technical Insight : Working knowledge of underwriting platforms, policy administration systems, and data analytics tools. Regulatory Awareness : Familiarity with relevant regulations, including Lloyd’s and FCA requirements. Communication : Exceptional written and verbal communication skills with the ability to simplify More ❯
create and improve technology that solves market structure challenges on behalf of the industry. The ICE Data Derivatives business provides market data, valuation, and analytics services across all OTC derivative asset classes to a global customer base. The candidate will join the Financial Engineer team that research, implements, prototypes, and More ❯
You'll also contribute to major investments in their system enhancement, customisation and integration - linking their core trading systems with modern SaaS solutions for analytics, hedging, credit, regulatory reporting and more. Responsibilities of the Senior Developer (Trading Systems): Creating new features within Trading Systems to facilitate company growth Building solutions More ❯
You'll also contribute to major investments in their system enhancement, customisation and integration - linking their core trading systems with modern SaaS solutions for analytics, hedging, credit, regulatory reporting and more. Responsibilities of the Senior Developer (Trading Systems): Creating new features within Trading Systems to facilitate company growth Building solutions More ❯
london, south east england, United Kingdom Hybrid / WFH Options
X4 Technology
You'll also contribute to major investments in their system enhancement, customisation and integration - linking their core trading systems with modern SaaS solutions for analytics, hedging, credit, regulatory reporting and more. Responsibilities of the Senior Developer (Trading Systems): Creating new features within Trading Systems to facilitate company growth Building solutions More ❯
definition, prototyping, proof of concept, designing and implementation Experience in financial services industry either in market risk or credit risk domain with understanding of analytics integrations for calculations of PnL vectors, various methods to calculate portfolio VaR, sensitivities, PFE etc. Bachelor’s degree, preferably in Computer Science, Engineering, or Mathematics More ❯
