Informa

Financial Planning and Analysis

• Prepare and review draft statutory accounts, both UK and overseas, to a high standard in line with local regulations
• Liaise with the third-party providers to provide information, manage expectations and review statutory accounts ensuring that they are in line with local regulations.
• Manage statutory accounts software package and provide training to the team as required
• Oversee and review of the iXBRL tagging of Statutory accounts
• Assist with preparing information for Group
• Reviewing of any work associated with dormant & non-trading entities,
• Completion of month end work relating to head office and treasury companies
• Assist with the provision of information for audit queries
• Prepare and review assigned Balance sheet reconciliations
• Assist with corporate simplification process
• Assist with the preparation and review of treasury transactions
• Assist with monthly treasury compliance related work, including account limits, passport scheme and loan facilities
• Oversee and review of national statistic forms
• Team workload management
• Motivate team to ensure performance metrics are hit
• Support Managers within the T&FA team to develop a plan for cross-training, working shadowing and rotation of responsibilities within team
• Provides coaching on both soft and technical skills within the team
• Participate in Recruitment & Selection processes
• Act as a role model to others
• Team admin duties such as absence management, holiday authorisations, timesheet approvals, appraisals etc

Senior Financial Accountant – 15 Month Fixed Term Contract

Machine Learning Engineer

• Manage and support ML and AI model lifecycle using Databricks and MLflow: training, tracking, packaging, deployment, monitoring, agentic AI safety and generative AI guardrails.
• Automate and optimize model deployment pipelines for batch and real-time use cases.
• Collaborate with data scientists to productionize models, ensuring scalability, reproducibility, and reliability.
• Implement CI/CD pipelines for ML and AI workflows, including testing, version control, and rollback strategies.
• Monitor deployed models for performance drift, data quality, and SLA adherence.
• Support governance and compliance requirements: model registry usage, auditability, reproducibility).
• Troubleshoot and resolve issues related to model training, deployment, and integration with downstream systems.
• Provide operational support for Databricks Workflows, Jobs, and Delta Lake integration.
• Document processes, automation frameworks, and operational runbooks.
• Bring best practices to bear on the team’s products and educate the team members.

Senior Machine Learning Engineer

Operations

• Provide guidance including creating process documentation, answer questions, etc to team members who will serve as project management support for a variety of brand campaigns & projects
• Manage the day to day of team members monitoring work load & assigning projects and accounts
• Manage a team of individuals who will perform operational needs with a focus on ensuring brand campaign setup & fulfillment requirements are met. This includes daily tasks like; branner setup across various systems, campaign updates campaign performance monitoring, forecasting, & optimizations, etc.
• Work closely with various internal teams to identify, troubleshoot and resolve brand campaign issues & identify recommendations for process improvements
• Create & maintain best practices and create documentation and checklists to share across the team.

Manager, Process Operations

Account Executive

• Increase and promote sales of T&F journals, digital collections and eBooks throughout assigned territory via telephone, and email activity.
• Host and lead customer calls to assigned accounts as necessary.
• Prepare professional and engaging exploratory and proposal presentations.
• Identify, maintain and develop current and prospective customer accounts and actively pursue opportunities for growth and development.
• Coordinate and collaborate marketing efforts to promote online sales models to current and prospective customers.
• Keep accurate track of sales pipeline rigorously through CRM software (Salesforce.com).
• Track and share lead information throughout all stages of the sales process.
• Respond to RFPs from prospective customers and generate customized quotes.
• Successfully negotiate and close a mix of renewal and new business.
• Proactive communication with assigned Sales Manager/ Head of Sales, collaboration with a wider sales team, and producing regular reports on sales activity and development opportunities.
• Assist in the development of sale proposals, management reports, support sales contact/CRM database.
• Attend library meetings and industry events, as required.
• Potential for International travel for annual global sales conference.

Inside Sales Representative

Account Manager

• Drive Sales and Revenue Growth
• Achieve and exceed annual territory sales targets, contributing to the division's overall revenue objectives
• Explore growth opportunities in diverse markets through direct prospect outreach, social media engagement, and in-person networking
• Develop and implement strategic short-, medium-, and long-term business plans to ensure relevance and adaptability in evolving market conditions
• Conduct regular sales visits to customers across your assigned region, customizing sales documentation and tools to maximize opportunities
• Cultivate strong customer relationships to ensure sustainable, high-level customer satisfaction
• Create and implement innovative strategies to enhance customer experience and outcomes
• Plan, schedule, and execute a robust sales strategy across the product portfolio within your specific sales region
• Prepare for, attend, and actively contribute to internal sales meetings and industry events to build strategic awareness
• Liaise with cross-functional departments to enhance T&F's value proposition and service offerings
• Provide detailed reports on sales progress, customer feedback, and business environments to ensure awareness of micro and macro activities
• Manage accounts and prospects for your territory using CRM and data management tools
• Deliver accurate and timely reports on sales activities, ongoing sales initiatives, and industry developments in assigned areas.

• Relationship management of a portfolio of customers, building a deep understanding of the customer, market and specific needs to provide a tailored sales service to drive the highest levels of customer service and satisfaction
• Planning, scheduling and carrying out online and onsite meetings with key individuals within institutional organizations to close adoption business and other sales opportunities within DACH, using consultative selling techniques and offering bespoke and added value solutions to maximize sales opportunities
• Analyse sales figures, run reports, maintain our adoption database and communicate with colleagues in the sales, marketing and editorial departments on a daily basis
• Monitoring sales of key adoptions to ensure relevant sell through is achieved, highlighting any underperforming, and taking relevant action to rectify this
• Accurate and timely maintenance of CRM systems
• Liaising with colleagues in other sales teams (field-based and internal) to ensure information is provided effectively to achieve appropriate stockholding and sell-through
• Building and maintaining effective external and internal relationship, building profile and understanding of the Journal & Open Research sales strategy across the wider business and externally where appropriate
• Developing alternative routes to market, including direct sales for digital content as appropriate, ensuring any direct commercial deals are consistent with the overall sales strategy in the market
• Updating the Sales manager by the provision of reports on sales activities and bring to their attention any problems/challenges with recommendations for resolution
• Preparing for, attending, and contributing to sales meetings to build product knowledge, strategic awareness and to gather market relevant intelligence

Sales Executive – DACH, T&F Journals

Full-stack Engineer

• Design and implement scalable, secure, and maintainable data platforms on Databricks and AWS cloud infrastructure.
• Provide architectural leadership across engineering domains, ensuring consistency, scalability, and resilience
• Architect distributed data processing systems using Apache Spark and optimize for performance and scalability.
• Lead development of reusable data pipelines and workflows using Databricks Workflows.
• Translate business objectives into platform capabilities in collaboration with Product Managers and cross-functional teams.
• Support AI/ML initiatives through robust data engineering, including feature engineering, model deployment.
• Champion best practices in ETL/ELT, data quality, monitoring, observability, and Agile development.
• Drive adoption of data governance standards: access control, metadata management, lineage, and compliance.
• Establish and maintain CI/CD pipelines and DevOps automation for data infrastructure.
• Evaluate and integrate emerging technologies to enhance development, testing, deployment, and monitoring.

Staff Engineer – Data Platform and Lakehouse, Databricks

• Build scalable, enterprise-grade B2B SaaS applications for financial institutions
• Develop scalable APIs and data services, including ETL pipelines using Java (Spring Boot), Databricks, and relational databases
• Build responsive and dynamic user interfaces using Angular and TypeScript
• Write clean, well-documented code and enforce best practices for code quality, testing, and deployment
• Leverage AWS services for deployment, monitoring, and scaling of applications
• Mentor and provide guidance to junior engineers
• Collaborate with product managers, UX designers, and other engineers to gather requirements and deliver high-quality software
• Develop solutions to help banks acquire and grow profitable customer relationships

Senior Software Engineer II, Commercial and Wealth

Analyst

• Conduct ongoing primary research through interviews with OEMs and ODMs in China, component suppliers and distributors/retailers to develop country-level market insights including high-quality sell-in data
• Develop and maintain a robust network of industry contacts in Mainland China and Chinese companies’ overseas subsidiaries
• Work closely with data analyst teams to combine primary research findings with secondary data sources and create comprehensive market models
• Enhance country-level data accuracy by developing advanced methodologies and strategic triangulation techniques
• Evaluate in-market, go-to-market strategies of leading Chinese TV manufacturers including product pricing, market positioning, distribution strategy, and partnerships
• Monitor and analyze Chinese vendors’ local manufacturing facilities, production strategy, ODM capacity constraints, and supply chain dynamics
• Key contributor to quarterly country-level market tracker and forecast reports and present findings to stakeholders
• Contribute to development of new research initiatives focused on China TV market dynamics and Chinese vendors’ global expansion strategy
• Respond to client inquiries and work with account managers to ensure research needs are met
• Occasional travel overseas to attend industry events, meet contacts, and conduct in-person research

Senior Analyst, TV Set

Events

• Lead and manage marketing team for Cityscape Global and Global Heath Exhibition
• Recommend team structures and line manage senior marketers and specialists
• Ensure delivery of marketing campaigns in line with KPIs and event strategy
• Champion marketing technology adoption and optimise digital marketing
• Monitor campaign performance, analyse data and recommend changes
• Work with sales and event teams to share insights and drive revenues
• Plan product marketing campaigns and monitor operational implementation
• Develop budgets, manage external suppliers and negotiate media buying
• Guide content, PR, social media and website strategy to maximise conversion
• Establish and manage strategic partner relationships
• Oversee design and production of all marketing collateral
• Report to Marketing Director and manage a diverse team based in Riyadh

Head of Event Marketing

• 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

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

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

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.

Financial Analyst

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

• 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)