Informa

Marketing

• Develop and execute demand generation and lead generation strategy to capture and nurture exhibitor leads across multiple channels
• Build ABM strategies for key clients and deliver MQLs to commercial teams
• Create operational implementation plans and ensure adherence to deadlines (Gantt charts, Time & Action Plans, Content Calendars, Budget Trackers)
• Identify target segments, build engagement programs and optimise spend across marketing channels
• Build website strategy and relevant landing pages to maximise traffic and conversion for lead generation
• Define sales alignment and lead handoff processes (MQL to SQL) and maintain regular feedback loops with sales
• Monitor campaign performance, produce monthly MQL reports and recommend execution changes based on data insights
• Work with data & insights specialists to ensure accurate, tagged and standardised data; ensure data governance
• Output multi-channel campaigns across email, paid search, paid social, remarketing, web and social and use CRO to optimise
• Write copy, proof collateral, adhere to brand guidelines and Informa standards
• Support the sales team by delivering exhibitor leads and managing the exhibitor journey

Commercial Marketing Manager

Analyst

• Support TV and other consumer device research; perform data analysis and modelling tasks
• Responsible for Omdia's Global TV set and Consumer Electronics research services, including quarterly data reports on vendor sell-in shipment performance
• Work closely with global TV analysts to combine primary research findings with secondary data sources to create comprehensive market models
• Enhance country-level data accuracy by developing advanced methodologies and incorporating additional data sources to fill gaps via strategic triangulation
• Own end-to-end data lifecycle of TV set data deliverables and understand TV data process and terminology
• Build data modelling solutions and produce data deliverables based on client requirements using logical and efficient algorithms
• Translate business requirements into reports and deliverable structures and produce Model Documentation
• Manage issue escalations with appropriate pathways and minimal supervision
• Anticipate, detect, prevent, and manage risks and issues impacting deliverables and the research process
• Stay updated on emerging technologies and methodologies in data acquisition and analysis
• Measures of success: on-time delivery, quality and accuracy of market intelligence, peer feedback, and client satisfaction/retention

Analyst, TV and CE

Engineering Manager

• Lead the Curinos 360 Grow pod responsible for end-to-end development and support of AI-enabled test-and-learn optimization products
• Collaborate closely with Product and Business stakeholders to develop and execute the product roadmap
• Own the design, implementation, and delivery of new product features within a robust and scalable application stack
• Provide hands-on technical leadership, model quality software development practices, and perform code reviews
• Mentor and drive professional development of Full-Stack Engineers, Data Engineers, Data Scientists and QA Engineers
• Oversee design decisions, produce design documents/POCs, and manage grooming and breakdown of user stories
• Advocate prioritization to reduce technical debt and improve product operations efficiency
• Ensure compliance with SDLC and Agile processes and track KPIs, collaborating with peer Engineering Managers and Architects

Senior Engineering Manager

Data Scientist

• Combine data sources and apply multiple data and algorithmic approaches to create a clear, cohesive, static and temporal picture of banking customers, actionable for both humans and algorithms.
• Collaborate with business partners to develop meaningful segments to target and optimize consumer interactions based on shared preferences and behaviors.
• Partner with our machine learning engineers to refine and extend our Reinforcement Learning-based marketing optimization capabilities.
• Create well-organized datasets and data processing, algorithm implementations and recommended visualizations that can support implementation in our platform software and documentation, feature and functionality descriptions and customer engagement as needed
• Proactively explore available data to size and project opportunities to improve our products, services or client and consumer experience.

Senior Data Scientist, Decision Intelligence and Advanced Behavioral Analytics

Full-stack Engineer

• As a Senior Software Engineer, you will be responsible for building scalable, enterprise-grade applications.\n• The ideal candidate is proficient across the stack: front-end, back-end, and cloud infrastructure, and brings hands-on experience with a modern toolset including Java Spring Boot, Angular, Databricks, AWS, and relational databases.\n• Typical responsibilities will include: Back-End Development: Develop scalable APIs and data services, including ETL pipelines using Java (Spring Boot), Databricks, and relational databases like MS SQL Server and PostgreSQL, to support application logic and data processing.\n• Front-End Development: Build responsive and dynamic user interfaces using Angular and TypeScript. Ensure seamless user experiences across various devices and platforms.\n• Code Quality & Best Practices: Write clean, well-documented code and enforce best practices for code quality, testing, and deployment.\n• Cloud Integration: Leverage AWS services for cloud-based solutions, including deployment, monitoring, and scaling of applications.\n• Mentorship: Provide guidance and coaching to junior engineers, helping them grow their skills and contributing to the overall improvement of the engineering team.\n• Collaboration: Work closely with product managers, UX designers, and other engineers to gather requirements, design technical solutions, and deliver high-quality software on time.\n• Salary Range: $130,000 - $160,000 (plus Bonus)

Senior Software Engineer II, Retail Pricing

Data Engineer

• Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights.
• Curinos operates in a hybrid/remote model, and this position is fully remote in the United States or hybrid in the Greater New York, Boston or Chicago metropolitan areas.
• Curinos is hiring a Senior Data Engineer I to join our Data Platform team. You’ll work with a diverse team of talented engineers, AI and ML scientists, and product managers to build our next generation data and AI platforms, support migration of products from legacy infrastructure, and help product engineering teams leverage the platforms to launch new products and build new genAI applications.
• Responsibilities: You'll work with product and engineering teams to: Design, build, and maintain scalable and reliable data and AI platforms, including ingestion, storage, validation, governance, monitoring, and ELT patterns. Implement data monitoring and pipeline observability. Proactively identify opportunities and implement solutions to optimize pipeline operations and reduce manual work. Develop and maintain ETL data pipelines for large volumes of data, writing clean, maintainable, and efficient code. Maintain and evangelize high standards in software and data engineering best practices (SDLC, testing, scaling, performance). Proactively identify and implement new technologies and tools. Conduct code reviews and provide feedback. Support adoption of data platform tools and frameworks across teams. Participate in agile ceremonies. Stay current with emerging technologies and industry best practices.
• Salary Range: $110,000 to $130,000 (plus bonus)
• Qualifications: Advanced proficiency in Python and SQL, Required experience with Spark including distributed computing and optimization. Preferred experience with Databricks (Unity Catalog, Feature Store, Delta Live Tables). Extensive experience with data pipeline and workflow management tools (e.g., Airflow, Databricks, Glue). Strong understanding of data engineering best practices (ETL/ELT, monitoring, observability, validations). Experience with big data, scaling data processing, and distributed computing.
• Why work at Curinos? Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from; Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!; Competitive annual leave, floating holidays, volunteering days and a day off for your birthday! Learning and development tools to assist with your career development. Work with industry leading Subject Matter Experts and specialist products. Regular social events and networking opportunities. Collaborative, supportive culture, including an active DE&I program. Employee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services. Applying: We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply.

Senior Data Engineer I

Financial Planning and Analysis

Responsibilities: Seeking a results-driven individual to support financial analysis across the finance/FP&A function and grow their skills in a dynamic, fast-paced environment. The Financial Analyst will support Finance Management (Finance Manager, Director of Finance, VP of Finance, CFO) and other business leaders to provide high-impact insights that support strategic decision-making. Build and maintain financial models to support business initiatives. Prepare monthly, quarterly, and annual financial reports and variance analysis. Assist in budgeting and forecasting processes. Collaborate with accounting to ensure accurate financial data and support month-end activities. Create insightful reporting and analytics, KPI’s and measurements. Proven ability to work independently and collaboratively under tight deadlines. Support key business leaders with financial reporting and analysis to inform and guide decision-making (Product/Business, Technology, Advisory, etc.). Assist in the automation and streamlining of current processes to grow efficiencies within the team. Facilitating the evolution and maturation of the operating practices of entire CFO organization, including department meeting rituals, goal setting and priority tracking.