Location
London

Hours
Full Time

Salary
Negotiable

About the Role
We are seeking a Business Process Analyst to join the Digitalisation Centre of Excellence within DSM at London Stock Exchange Group (LSEG). This role is central to process discovery, automation opportunity exploration, and digital transformation, helping to shape well-defined, data-driven use cases that feed into engineering workstreams. You will analyse real-world operational processes by triangulating documentation, system data, process mining insights, and interviews with business teams to surface inefficiencies and uncover automation and AI enhancements. This hands-on, discovery-focused role involves close collaboration with DSM Business Services, operational SMEs, Business Architects, and engineering leads in Data Engineering, Analytics, ML, and AI. Your work will enable stronger clarity, alignment, and adoption of Digitalisation initiatives across DSM.

Key Responsibilities
Analyse end-to-end operational workflows including manual steps, handoffs, approvals, exceptions, and rework loops. Engage with SMEs to uncover bottlenecks and challenges not visible in system logs. Use SQL and Python (Pandas) for data exploration and hypothesis testing. Create Power BI visualisations and interpret process mining outputs to validate execution paths. Identify opportunities for workflow automation, analytics enhancements, and ML/AI augmentation. Support the Digitalisation intake and prioritisation process by documenting and quantifying business value, effort, and risks. Translate discoveries into delivery-ready use cases with clear problem statements, scope, benefits, risks, and success metrics. Create as-is process maps and to-be digital/automation concepts. Produce clear visualisations and communication materials to support alignment and adoption. Track outcomes and contribute to continuous improvement of discovery approaches and prioritisation methods.

How This Role Fits into Delivery
This role operates upstream of engineering, providing high-quality, well-scoped problem definitions and validated opportunities to ensure Digitalisation initiatives are easier to deliver, better understood, faster to adopt, and aligned to real business needs. While not managing delivery, the role provides critical inputs that improve pipeline quality and throughput.

Why Join Us
You will be part of a hands-on Digitalisation function delivering practical, high-impact transformation across DSM. This is a great opportunity to grow your skills and make a visible difference from day one. The role offers direct involvement in automation, data, ML, and AI initiatives, deep exposure to operational processes across Capital Markets, close collaboration with engineering teams, and opportunities to develop analytical, process, discovery, and engagement skills. You will have the ability to visibly shape operational efficiency, resilience, and effectiveness within a global, innovative organisation.

Experience
Experience in business process analysis, operational analysis, or continuous improvement roles. Ability to map and clearly explain processes using BPMN, flow diagrams, or equivalent. Working knowledge of SQL for operational data exploration. Basic to intermediate Python (Pandas) skills for analysis. Confidence engaging with SMEs to understand real workflows and recurring issues. Ability to convert qualitative and quantitative insights into structured use-case documentation. Experience creating clear presentation materials for business and non-technical audiences. Experience working in Agile or iterative environments.

About You
Strong interest in digital transformation and intelligent automation. Ability to interpret operational metrics to support prioritisation. Collaborative mindset with excellent communication skills. Comfortable working in regulated or operationally complex environments. Interest or experience in business process optimisation, Lean, or continuous improvement approaches. Enthusiastic about working closely with cross-functional teams including business, architecture, and engineering.

Desirable Skills
Exposure to process mining concepts and tools such as Celonis, QPR ProcessAnalyser, ProM, or Power Automate Process Mining. Experience with Power BI or similar tools for exploratory analysis and insight communication. Exposure to automation, analytics, machine learning, or AI initiatives. Experience within Capital Markets, Financial Services, Operations, Post Trade, Market Data, or other regulated environments.