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Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Knowledge of payment network transactional data is a plus • Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels • Proven skills in translating analytics output to actionable recommendations and delivery • Fluency in English Additional Information Visa is an EEO Employer.

The Lead Data Compliance will drive the development and implementation of data protection strategies, ensure compliance with regulatory requirements, and provide expert guidance on data governance and risk management. Monitor and assess the organization's data processing activities to ensure adherence to legal and regulatory requirements. Address and resolve any data breaches or compliance issues, working with relevant teams to implement corrective actions. Prepare and submit required regulatory reports and documentation related to data compliance. Provide ongoing support and guidance to staff on data compliance issues and best practices. Prepare detailed reports and documentation on data compliance status and issues for senior management and stakeholders. Provide expert advice and support on data compliance matters, including data protection impact assessments (DPIAs) and data subject access requests (DSARs). Experience: Extensive experience in data compliance or data protection roles, with a strong understanding of relevant data protection laws and regulations. Experience with data protection impact assessments (DPIAs) and data subject access requests (DSARs).

While we continue to help clients meet their GMP objectives, the data challenges our clients face are becoming more diverse which gives you a great chance to work in a team across a broad spectrum of areas and add tangible value to clients and pension scheme members. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves to work every day.

We strive to create an interdisciplinary workplace that cultivates innovation through collaboration, and we empower each of our team members to do their best work and develop to their highest potential By joining Relation, you will be part of an exceptionally talented team, have extraordinary leverage to push the field of drug discovery, and help shape our culture and strategic direction. Competency in statistical programming (e. Join us in this exciting role where you will have a direct impact on advancing our understanding of disease biology, supporting our mission to get transformative medicines to patients.

Established in 1926, the Davy Group sits at the heart of wealth and capital in Ireland, providing a broad range of services to high-net-worth individuals, self-directed investors, small-to-medium enterprises, credit unions, corporations, and domestic & international institutional investors. This will incorporate report design, insights delivery, statistical analysis and the development of data visualisations. Act as a Data Steward by identifying and relaying data anomalies and data quality issues to relevant teams in order to enhance data integrity and improve organisational data standards. Training support provided by award-winning Learning & Development Team, extensive sports & social programmes, flexible working options, employee assistance programme, enhanced leave options, and social & community care initiatives are just some of the ways our people can empower themselves to be their best.

Internally, Investment Operations contributes to the overall success of the business by providing a service to key Stakeholders including Investments Team, Finance, New Business Origination, Third-Party Management, Data Office and Change Management. Owning the relationship between the Data Group, Finance and the Investments & Operations divisions by representing the provision of comprehensive data management services and so ensuring high quality and timely delivery, risk control, efficiency, and on-going support to enable seamless delivery. Ability to manage people and other resources effectively.

We are now looking for more help in this area to keep up with the growing demands of a dynamic, data driven organisation Responsibilities • Develop, maintain, and optimise ETL processes for data extraction, transformation, and loading • Create and manage data models and data warehousing solutions • Lead a cross functional team of data scientists and data engineers • Utilise programming languages like Python, SQL for data processing tasks • Development and deployment of AI & ML pipelines (alongside data scientists) • Optimise data pipelines for performance and efficiency. Excellent Python experience Good understanding of IAC technologies (we use terraform) and the DevOps environment Collaborative skills to work closely with data scientists and analysts Ability to optimize data pipelines for performance and efficiency. To maintain and grow our position in the market we need to continue to hire highly motivated, thoughtful and to ensure our subscribers are getting the exclusive intelligence they need first, and most comprehensively, through our range of services.

Canada Life UK is transforming to create a more customer-focused business by providing our customers with expertise on financial and tax planning, offering home finance and annuities propositions, and providing collective fund solutions to third party customers. Collaborate with data architects to ensure data pipelines align with the overall data architecture strategy. Integrate data from structured and unstructured sources, ensuring compatibility and alignment with data models and business requirements. Monitor data pipelines for data quality issues and implement data quality improvements. Maintain data dictionaries and metadata to document data structures and relationships. Monitor data processing performance and address bottlenecks as they arise. Foster a culture of knowledge sharing within the data engineering team and across the organization. Communicate technical concepts and data solutions to non-technical stakeholders in a clear and understandable manner. Effective communication and collaboration skills to work with cross-functional teams and gather data requirements. Power Automate. As a Canada Life UK colleague, you'll receive a competitive salary and comprehensive reward package including a generous pension and bonus scheme, along with, income protection, private medical insurance and life assurance.

[MANDATORY] • Proven ability and experience to develop solutions at scale [MANDATORY] • Proven experience of DevOps practices and tools [MANDATORY] • Understanding of observability tools and concepts • Strong understanding of cloud platforms (AWS & GCP) [MANDATORY] • Leadership and coaching [MANDATORY] • Stakeholder management [MANDATORY] • Experience bring ML solutions to production & in life support and maintenance including model drift [PREFERRED] • Fin-Ops experience [PREFERRED] Benefits • 15% on target bonus • Company car or £5,500 cash alternative • Private healthcare for self and family • BT Pension scheme, minimum 5% Employee contribution, BT contribution 10% • 25 days annual leave (not including bank holidays), increasing with service • Huge range of flexible benefits including cycle to work, healthcare, season ticket loan • World-class training and development opportunities • Option to join BT Shares Saving schemes.

We are investing heavily in our data team, and are looking for a motivated (mid-level to senior-level) Data Analyst to work closely with our Operational Teams and Data Scientists to support the development of key data products and optimise our on-the-ground operations. - Proven theoretical knowledge and application of advanced analytics and statistics to real-world or business problems that derive actionable insights and recommendations.