Jobs at Quantium

Drives global FP&A and management reporting, including monthly forecasting, month-end close, divisional P&L reporting, OPEX analysis, CFO reporting, quarterly forecasts, business reviews, and annual budgeting. Provides financial insights, identifies risks, supports finance transformation projects, and improves reporting processes. The role requires advanced Excel modeling, Anaplan experience, strong analytical capabilities, and effective cross-functional collaboration.

Leads end-to-end AI transformation engagements, including solution analysis, design, implementation, project management, and client delivery. Partners with C-suite stakeholders to translate business goals into practical AI solutions, manages cross-functional teams, shapes project methodologies, identifies account expansion opportunities, and mentors junior colleagues. The role requires strong AI/ML business fluency, strategic thinking, communication, and consulting experience in digital transformation or AI advisory.

Leads AI advisory and digital transformation engagements for major enterprises. Partners with executives to define AI visions, develop adoption roadmaps, build business cases, track benefits, and guide large-scale implementation. Coordinates data science, engineering, product, and business teams while translating business goals into technical requirements and measurable outcomes.

Leads revenue-generating consulting engagements from executive relationship development and opportunity origination through transformation delivery. Builds business cases, ROI models, and transformation roadmaps; negotiates with senior stakeholders; and owns client outcomes, quality, and profitability. Leads hybrid teams of strategists, data scientists, and delivery professionals while expanding existing client portfolios. Requires extensive consulting leadership, competitive sales, AI and data transformation experience, executive presence, and commercial accountability.

Design and deliver production-grade GenAI and LLM applications end-to-end: architecture, cloud deployment, containerisation, APIs, data pipelines, evaluation and observability. Collaborate with clients and domain experts, mentor junior team members, conduct code reviews, and support technical scoping and proposals.

Own enterprise business development and sales for Quantium’s scam, fraud, and identity API across banks and financial services organizations. Build target-account pipelines, create demand, manage complex multi-stakeholder sales cycles, negotiate contracts, and close deals. Develop executive relationships across fraud, risk, financial crime, product, and technology teams while shaping market positioning, monitoring regulatory and competitive trends, maintaining forecasts, and collaborating with product, marketing, pre-sales, and customer success teams.

Manage the general ledger for multiple entities, ensuring accurate financial reporting, reconciliations, journal processing, and timely resolution of variances. Prepare monthly management accounts, CFO reports, analyses, and internal reporting. Support external audits, compliance requirements, stakeholder relationships, and finance process improvements. The role requires strong attention to detail, communication, Excel skills, and the ability to work independently while supporting global teams.

Own a portfolio of media clients, building strategic relationships and embedding Quantium’s Media iQ products into planning, sales enablement, and measurement workflows. Drive product adoption, renewals, account health, and commercial value while translating data and insights into compelling business narratives. Identify adoption risks, develop expansion opportunities, advocate for client needs, and coordinate analytics, product, delivery, and governance teams.

Design and scale analytics solutions using data science, AI-native workflows, and cloud platforms. Develop models, algorithms, statistical analyses, and reusable AI-enabled approaches using Python and SQL. Evaluate AI-generated outputs, create technical specifications, support engineering delivery, mentor analysts, and improve workflows across distributed global teams.

Develop data science and AI-native analytical solutions using Python, SQL, cloud platforms, and AI tools. Responsibilities include data extraction and cleaning, feature engineering, model development, validation, testing, scalable solution design, and evaluation of AI-generated outputs. The role collaborates with analysts, engineers, and product specialists, contributes to project delivery and continuous improvement, and communicates technical concepts to non-technical audiences.

Leads the design and production delivery of generative AI solutions for clients. Manages and mentors data scientists, sets engineering standards, oversees solution quality and documentation, supports technical scoping and pre-sales, and helps shape reusable AI components and team strategy. Requires strong AI and machine learning expertise, production architecture experience, Python skills, cloud-native development knowledge, and commercial communication abilities.

Build and deliver production-grade generative AI and LLM applications using Python, machine learning, cloud platforms, APIs, SQL, and data pipelines. Contribute to AI evaluation, observability, testing, code reviews, and technical standards. Collaborate with clients and domain experts to define solutions, explain technical concepts, and communicate risks and trade-offs. The role supports end-to-end AI/ML delivery while developing technical and consultative expertise.

Process invoicing, collections and cash application; monitor aged debtors and follow up on overdue accounts; support month-end AR reconciliations; prepare debtor ageing and AR reports; resolve billing queries and disputes; build relationships with Finance, Sales and customers to support cash flow.

Design and deliver scalable analytics solutions and models, create specifications for engineering, work with complex cloud-hosted datasets, apply advanced data science and ML methods, support product roadmaps, mentor and coordinate across global teams.