of Spark. Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platforms (AWS, GCP, Azure). Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels More ❯
Understanding of machine learning techniques. Experience with data manipulation libraries (e.g., Pandas, Spark, SQL). Experience with version control (Git). Cloud experience (Azure, GCP, AWS). Additional desirable skills include: Modeling experience in industry-relevant use cases. Familiarity with MLOps environments. Experience with simulation and optimization techniques. More ❯
of building and managing talent pipelines in competitive markets. Technical Understanding Solid grasp of modern tech stacks including Python, React.js, cloud platforms (AWS, Azure), and data tools (dbt, Airflow, Snowflake) from a recruitment perspective. Ability to assess technical skills through structured interviews and practical assessments. Understanding of software More ❯
the implementation of Single Sign-On (SSO) integrations across multiple Entra ID tenants Build tooling to standardise and scale operational workflows in AWS, Azure and Google Cloud Platform (GCP) Design and build REST APIs that enable zero-touch, end-to-end automation of Identity and Access Management resources More ❯
a diverse technical landscape. We use GCP as our primary cloud vendor, we have some footprint in AWS for CI purposes, and use Azure for certain other isolated use-cases. We are dabbling into Cloudflare to replace internal VPNs as well. Our backend is primarily written in Go More ❯
Science. Preferred Qualifications: Good familiarity with recent developments in GenAI and LLMs. Econometrics/Financial Engineering background. Time series modelling. Cloud (AWS, GCP, Azure). Experience with model visualization and explainability. About S&P Global Market Intelligence: At S&P Global Market Intelligence, a division of S&P More ❯
or financial services is highly preferred. Ability to challenge unrealistic timelines and ensure technical teams stay accountable. Proficiency with project management tools (e.g., Azure DevOps, Jira, Confluence, etc.). Project Management Certifications: Possess relevant certifications e.g. - PMP, PRINCE2, Agile, etc. Strong leadership, negotiation, and communication skills. Why Join More ❯
scoring or rule-based decision systems (bonus if AML/FinCrime) Strong Python skills and comfort with cloud environments (AWS/GCP/Azure) Excellent communication skills and experience translating complex technical work into actionable product features A startup mindset-bias toward action, comfort with ambiguity, and passion More ❯
cloud architecture & providers, integration tools & approaches, and artificial intelligence methods & techniques (experience in Cloud Computing Platforms -knowledge of any or all of Snowflake, Azure, AWS and Google would be beneficial) Knowledge of the common functions in a typical Data organisation Demonstratable interest and awareness in emerging technologies Hands More ❯
Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like Matplotlib, Seaborn, Tableau, or Power BI. Model More ❯
Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like Matplotlib, Seaborn, Tableau, or Power BI. Model More ❯
Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like Matplotlib, Seaborn, Tableau, or Power BI. Model More ❯
and governance models. Deep understanding of Agile delivery in IT, software development, or business operations. Hands-on experience with Agile tools (JIRA, Rally, Azure DevOps, etc.). Exceptional facilitation, coaching, and leadership skills. Strong analytical, problem-solving, and stakeholder management abilities. Must be a people person with a More ❯
Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like Matplotlib, Seaborn, Tableau, or Power BI. Model More ❯
DevOps engineering highly desirable Working knowledge of both local and cloud-based software deployment platforms and technologies, including Linux, Windows, Docker, Kubernetes, AWS, Azure Enjoy delivering compelling, unique demonstrations that help people understand software solutions Ability to dive into complex technical problems, perform troubleshooting, develop solutions, and articulate More ❯
DevOps engineering highly desirable Working knowledge of both local and cloud-based software deployment platforms and technologies, including Linux, Windows, Docker, Kubernetes, AWS, Azure Enjoy delivering compelling, unique demonstrations that help people understand software solutions Ability to dive into complex technical problems, perform troubleshooting, develop solutions, and articulate More ❯
approach to addressing complex challenges. Outstanding communication skills in English, both written and verbal. Familiarity and certifications with multiple cloud providers (e.g., AWS, Azure, GCP) Advanced knowledge of API and identity authentication methods (OAuth 2.0, Okta, SAML). Experience with containerization and orchestration technologies like Docker and Kubernetes More ❯
scalable, high-quality data models that serve complex business use cases. Knowledge of dbt and experience with cloud data warehouses (BigQuery, Snowflake, Databricks, Azure Synapse etc). Proficiency in building BI dashboards and self-service capabilities using tools like Tableau and Looker. Experience communicating with business stakeholders, managing More ❯
insurance sector. Familiarity with Rest APIs, Microservices Architecture , and their applications in insurance systems. Nice to have Experience designing cloud-based architectures (e.g., Azure) for insurance solutions. Knowledge of emerging insurance technologies such as telematics, IoT in insurance, or AI for underwriting and claims. Hands-on experience with More ❯
insurance sector. Familiarity with Rest APIs, Microservices Architecture , and their applications in insurance systems. Nice to have Experience designing cloud-based architectures (e.g., Azure) for insurance solutions. Knowledge of emerging insurance technologies such as telematics, IoT in insurance, or AI for underwriting and claims. Hands-on experience with More ❯
insurance sector. Familiarity with Rest APIs, Microservices Architecture , and their applications in insurance systems. Nice to have Experience designing cloud-based architectures (e.g., Azure) for insurance solutions. Knowledge of emerging insurance technologies such as telematics, IoT in insurance, or AI for underwriting and claims. Hands-on experience with More ❯
percent, doubled its customer base, doubled the number of employees, and is now valued at over $1B. - Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst. - $267 million in total funding. Investors include NightDragon, Greenspring Associates, March Capital, Ten Eleven Ventures, Intel Capital Corporation, NGP Capital More ❯
insurance sector. Familiarity with Rest APIs, Microservices Architecture , and their applications in insurance systems. Nice to have Experience designing cloud-based architectures (e.g., Azure) for insurance solutions. Knowledge of emerging insurance technologies such as telematics, IoT in insurance, or AI for underwriting and claims. Hands-on experience with More ❯
london (city of london), south east england, united kingdom
FintechOS
insurance sector. Familiarity with Rest APIs, Microservices Architecture , and their applications in insurance systems. Nice to have Experience designing cloud-based architectures (e.g., Azure) for insurance solutions. Knowledge of emerging insurance technologies such as telematics, IoT in insurance, or AI for underwriting and claims. Hands-on experience with More ❯
collaborating with other leaders What we are looking for in you Knowledge of cloud computing concepts & technologies, such as Kubernetes, Openstack, AWS, GCP, Azure, Ceph, etc. Practical knowledge of Linux and networking Experience in technical presales You are a dynamic person who loves to jump in new projects More ❯
