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The Risk Analytics and Monitoring (RAM) team strengthens GSK’s proactive, data‑driven compliance culture. We deliver actionable, prioritized insights to Legal & Compliance so the business can anticipate and manage emerging risks. Using advanced analytics and AI, RAM identifies trends and exposures, supports regulatory readiness, and enables continuous improvement — positioning Compliance as a strategic partner across the organisation. We’re seeking an experienced Data & Analytics Senior Risk Manager to design and deliver advanced analytics solutions that address emerging compliance risk. You will combine deep technical expertise with commercial judgement to own end‑to‑end analytics products, guide solution delivery, and turn data into measurable business impact.
Job Responsibility:
Advise stakeholders on innovative analytics approaches for risk detection and mitigation
Own the lifecycle of analytic products — from concept, through delivery and enhancement, to stakeholder adoption
Design and deliver data‑driven tools, dashboards and models that support Compliance and business priorities
Apply AI and data science methods to generate actionable insights
Translate analytics into business impact and clearly distinguish analytic ownership from IT implementation
Operate as both an independent expert and a collaborative leader, overseeing solution design and deliverables
Communicate complex findings simply and persuasively to leaders at all levels
Collaborate across regions and functions, adapting your style to diverse audiences in a matrixed, international environment
Requirements:
Advanced degree or strong background in a quantitative field (e.g., Analytics, Mathematics, Computer Science, Business)
Substantial experience in analytics or data science with a track record of delivering impactful solutions
Proficiency in SQL and Python and experience with visualization tools (e.g., Power BI)
Excellent communication and stakeholder engagement skills
Demonstrated experience leading projects and mentoring more junior colleagues
Proven ability to work effectively across cultures and functions
Consulting or advisory experience in regulated industries
Nice to have:
Familiarity with enterprise risk management frameworks and cloud analytics platforms
Commitment to continuous learning and keeping up to date with analytics and AI advances