Vitesse PSP

We are Vitesse – the smart way to make global payments. We've built a future-proof financial infrastructure for Insurance to optimise and protect claim funds and deliver fast claim payments, globally. Formed in 2014 by a team of proven FinTech entrepreneurs, we are an FCA regulated payments business that is driven to be the treasury and payment provider of choice for the insurance market, by providing global payment services and treasury optimisation.  Operating one of the largest domestic banking and payment settlement networks in the world, we give our customers direct access to more than 170 countries and territories, covering over 110 currencies. Through a single integration, insurers can use this network to pay claims in as fast as 45 seconds, delivering a better customer experience to their claimants.  Our market-leading treasury optimisation service brings complete control and transparency to insurers and allows them to have their money in the right place, at the right time, to make that all important payment - fast, and when their customers need it most.  With now over 150 employees across Europe and our London headquarters, $26m series B funding in 2022 in the bag and over £8bn in processed transactions, we are only just getting started.  We are collaborative, customer centric and work with integrity, whilst partnering with some of the biggest insurance leaders including Lloyd’s of London and Many Pets. We take huge pride in our company culture, ensuring that everyone has a part to play, an opportunity to be heard, be involved, and the ability to make a real difference.  As we continue to scale up, we want like-minded humans to join us on this exciting journey.  Are you ready?

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📍 United Kingdom

🧭 Contract

🔍 B2B fintech, payment services, insurance

  • 5+ years’ experience in a B2B fintech, ideally with exposure to payment and treasury platforms.
  • Knowledge of the US insurance claims market desirable but not a prerequisite.
  • Must be highly analytical, organized, and structured.
  • Versatility and adaptability to future changes are preferable.
  • Technical understanding of Agile development practices.
  • Excellent communicator with a proven track record in relationship building.
  • Passion for scale-ups and a proactive mindset.
  • Ability to work well with co-workers, customers, partners, and other stakeholders.

  • Own the product backlog for your assigned theme.
  • Create and manage all epics, features and stories related to customer specific changes or strategic objectives.
  • Document and communicate requirements to the development team.
  • Have a thorough understanding of the journey towards the ultimate end feature goal.
  • Analyze overall business impact across all relevant stakeholders and create an implementation plan.
  • Understand wider client impact of changes and devise a communication plan.
  • Input to product documentation to maximize utilization of new features.
  • Track success post-implementation by measuring KPIs.
  • Support the business with expertise on implemented changes.
  • Work with product colleagues to ensure coherent and consistent changes.

AgileBusiness AnalysisData AnalysisProduct ManagementSCRUMProduct DevelopmentData analysisCommunication SkillsAnalytical SkillsCollaborationProblem SolvingAgile methodologiesAttention to detailOrganizational skillsPresentation skillsTime ManagementWritten communicationDocumentation

Posted 2024-11-15
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🔥 Senior Data Engineer
Posted 2024-11-13

📍 United Kingdom

🔍 Payment and Financial Services

  • Experience with data pipeline orchestration tools such as Airflow, Luigi, or similar.
  • Experience with version control systems and CI/CD best practices using GitHub Actions.
  • Knowledge of data governance, privacy regulations (e.g., GDPR), and security best practices.
  • Proficiency with SQL and experience with distributed data processing tools such as Apache Spark.
  • Strong understanding of relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Impala, Cassandra).
  • Experience with cloud infrastructure (Docker and Kubernetes, Terraform).
  • Experience in AWS platform architecture and cloud services.
  • A collaborative team member with Agile experience.
  • Familiarity with stream processing technologies (Kafka or Kinesis).
  • Nice to have: Experience with machine learning frameworks and pipelines, Delta Live Tables, Great Expectations, search optimizers (ElasticSearch/Lucene), REST alternatives (GraphQL, AsyncAPI), data science kits (Jupyter, Anaconda).

  • Design, build, and maintain scalable data pipelines and architectures to handle large volumes of structured and unstructured data.
  • Develop, enhance, and optimize ELT processes for ingesting, processing, and distributing data across multiple platforms in real time.
  • Build and manage data warehouses to support advanced analytics, reporting, and machine learning.
  • Implement data governance, quality checks, and validation processes to ensure the accuracy, consistency, observability, and security of data.
  • Optimize query performance and data storage costs through techniques like partitioning, indexing, vacuuming, and compression.
  • Build monitoring and alerting systems for data pipelines to proactively detect and resolve issues.
  • Optimize existing data pipelines for better performance, cost-efficiency, and scalability.
  • Work with data scientists, analysts, and business stakeholders to understand data needs.
  • Continuously research and integrate cutting-edge data technologies, tools, and practices to improve data engineering processes.
  • Team up with product engineers to identify, root cause, and resolve bugs.
  • Update documentation to help users navigate data products.
  • Ensure the data platform performs well and is always available for blue-chip clients.

AWSDockerGraphQLPostgreSQLSQLAgileElasticSearchKafkaKubernetesMongoDBTableauAirflowCassandraData engineeringElasticsearchNosqlSparkCI/CDTerraformDocumentation

Posted 2024-11-13
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