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.

Lead a portfolio of major consumer-brand clients, building senior relationships, advising on commercial decisions using data and analytics, and driving retention and account growth. Translate complex insights into compelling recommendations, shape client solutions with analytics and product teams, ensure value realization, lead business development, and coach senior client leads.

Develops strategic frameworks, business cases, go-to-market strategies, pricing models, and implementation roadmaps for Quantium’s Consumer division. Partners with senior leadership and cross-functional teams to shape commercial models, client segmentation, operating models, and AI-enabled service offerings. Translates complex analysis into executive recommendations and supports implementation across international markets.

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.

Develops AI-led go-to-market strategies and client-ready propositions for retail and consumer businesses. Frames complex commercial challenges, creates decision-ready recommendations, aligns UK and global strategy teams, and supports high-profile client opportunities, including RFPs and redesign processes. The role requires structured problem solving, commercial understanding of AI and analytics value, and strong communication for senior audiences.

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 end-to-end data science solutions for complex client and business problems. Apply machine learning, statistical modeling, and AI to develop scalable analytical products, translate business needs into analytical frameworks, and guide deployment. Partner with clients and stakeholders, communicate insights, uphold technical and governance standards, mentor junior team members, and support business development through solution scoping, proposals, and presentations.

Own US demand generation, events, localized campaigns, and commercial marketing initiatives for Quantium across the CPG and retail sectors. The role supports business development, builds prospect pipelines, executes industry activations, adapts global campaigns for US audiences, and establishes Quantium’s brand presence as the company’s first dedicated US marketer.

Lead data science and AI delivery for healthcare clients, managing analytical projects, mentoring technical teams, engaging stakeholders, and translating complex insights into business recommendations. Apply Python, SQL, cloud platforms, large-scale data processing, and generative AI to solve healthcare data challenges and drive measurable business outcomes.

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.

Lead the design and delivery of data analytics solutions, including data quality assessment, manipulation, method selection, predictive modeling, insight generation, and visualization. Collaborate with engineers and business stakeholders in agile teams to scope solutions, solve complex commercial problems, and deliver measurable outcomes. Leadership experience, analytical tool proficiency, and commercial predictive modeling expertise are valued.

Prospect FMCG and liquor suppliers, initiate outbound conversations, research and qualify leads, build sales pipeline, maintain account intelligence and CRM records, support client onboarding, and assist with renewal activities. The role requires resilient phone outreach, strong communication, organization, curiosity about B2B sales, and the ability to work independently while contributing to team goals.

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.

Lead technical design and architecture for enterprise full‑stack solutions, mentor engineers, drive engineering standards, own product engineering roadmaps, implement CI/CD and cloud-native practices, lead incident response and collaborate with product and delivery stakeholders.

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.

Lead AI transformation across analytical workflows and assets, coordinate AI and data science teams, mentor team members, guide technical strategy, and drive adoption of agentic development practices. Collaborate with clients and global teams to deliver high-quality analytics solutions, translate technical capabilities into measurable business outcomes, and remain hands-on with data science, cloud analytics, AI coding tools, and agentic workflows.

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.