Experience in business process analysis, operational analysis, or continuous improvement roles.
Ability to map and clearly explain processes (BPMN, flow diagrams, or equivalent).
Working knowledge of SQL for operational data exploration.
Basic–intermediate Python (Pandas) 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.
Ability to create clear presentation materials for business and non‑technical groups.
Experience in Agile or iterative environments.
Nice to have
Exposure to process mining concepts (event logs, variants, throughput, conformance).
Experience working with or interpreting outputs from 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.
Experience or interest in business process optimisation or Lean/CI approaches.
Exposure to automation, analytics, machine learning, or AI initiatives.
Ability to interpret operational metrics to support prioritisation.
Experience in regulated or operationally complex environments.
Strong interest in digital transformation and intelligent automation.
Experience working within Capital Markets, Financial Services, Operations, Post Trade, Market Data or other regulated environments.
Full description
Business Process Analyst – Automation & DiscoveryDSM Digitalisation CoE, LSEGAbout the Role
We are seeking a Business Process Analyst to join the Digitalisation Centre of Excellence within DSM at LSEG. This role sits at the heart of process discovery, automation opportunity exploration, and digital transformation, helping shape well‑defined, data‑driven use cases that feed into our engineering workstreams.
You will analyse real‑world operational processes, triangulating between documentation, system data, process mining insights, and interviews with business teams. Your goal is to surface inefficiencies, uncover automation and AI enhancements, and translate them into clear, structured problem statements the engineering teams can act on.
This is a hands‑on, discovery‑focused role suited to someone who enjoys digging into how work really happens in practice, engaging closely with DSM Business Services, operational SMEs, Business Architects, and engineering leads in Data Engineering, Analytics, ML, and AI.
The role enables stronger clarity, alignment, and adoption of Digitalisation initiatives across DSM.
Key ResponsibilitiesBusiness Process Analysis
Analyse end‑to‑end operational workflows, including manual steps, handoffs, approvals, exceptions, and rework loops.
Combine process artefacts, interviews, and direct operational insight to understand how work is performed in practice, not just how it is documented.
Engage with SMEs to uncover bottlenecks, challenges, and workarounds not easily visible in system logs.
Detect inefficiencies, recurring manual effort, and areas where digital improvements could have real impact.
Data‑Driven Discovery & Insight
Use SQL to explore operational datasets and quantify volumes, patterns, exceptions, and constraints.
Use Python (e.g., Pandas) for lightweight analytical exploration to support hypothesis testing and prioritisation.
Create simple Power BI visualisations to support discovery discussions.
Where available, interpret process mining outputs (e.g., Celonis, QPR, Power Automate Process Mining) to validate real‑world execution paths and uncover hidden variants.
Combine qualitative process understanding with quantitative insight to strengthen use‑case discovery.
Automation & Use‑Case Discovery
Spot areas for workflow and rules‑based automation, analytics enhancements, data‑driven decision support, or ML/AI augmentation (in collaboration with engineering).
Assess each potential enhancement using structured criteria including impact, feasibility, suitability, dependencies, and constraints.
Support the Digitalisation intake, discovery and assessment process, ensuring opportunities are consistently evaluated, documented and prioritised before entering delivery.
Business Process Analyst – Automation & Discovery at LSEG (London, United Kingdom) — aijobsearch
Quantify expected business value, effort, complexity and implementation considerations to support prioritisation decisions.
Translate discoveries into delivery‑ready use cases, including:
Clear problem statements
Scope and assumptions
Expected benefits
Risks and constraints
Success metrics and value logic
Define and baseline operational KPIs to support opportunity assessment and post-implementation value tracking.
As‑Is → To‑Be Translation
Create clear as‑is process maps and to‑be digital/automation concepts (BPMN or equivalent).
Clearly articulate what will change, what will remain, and where automation or AI will be applied.
Provide contextualised, well‑scoped inputs to engineering teams to support effective design and delivery.
Prioritisation Support
Contribute input to a prioritised pipeline of initiatives based on business impact, complexity, dependencies, and readiness.
Use simple prioritisation methods (e.g., impact vs effort) to support structured decision‑making.
Help determine the most appropriate engineering workstream for each use case.
Operating Model Communication
Produce clear, concise visualisations of processes, operating models, and future‑state workflows.
Prepare communication materials and presentations that explain use cases, benefits, and expected changes in accessible, non‑technical language.
Support alignment sessions by helping teams understand how processes and roles may evolve.
Adoption & Value Realisation Support
Identify potential change impacts early in the lifecycle to support smoother solution adoption.
Act as a feedback channel between business users and engineering teams during early rollout.
Track intended vs realised outcomes and capture insights and lessons learned.
Contribute to internal narratives articulating the value delivered by Digitalisation.
Collaboration & Continuous Improvement
Work closely with DSM Business Services, operational SMEs, Business Architects, and engineering teams.
Maintain a structured view of analysed processes and discovered enhancements.
Contribute to improving templates, discovery approaches, prioritisation methods, and ways of working.
How This Role Fits into Delivery
This role operates upstream of engineering, strengthening discovery, clarity, and alignment. By providing high‑quality, well‑scoped problem definitions and validated opportunities, the role helps ensure Digitalisation initiatives are:
Easier to deliver
Better understood
Faster to adopt
Aligned to real business needs
The role does not manage delivery but provides critical inputs into it.
What Success Looks Like
Processes are understood at execution level, not just theoretical or documented level.
Opportunities entering engineering are clear, prioritised, and well‑defined.
Discovery is grounded in both data and lived operational reality.
Business teams understand what is changing, why, and how it benefits them.
Digitalisation initiatives deliver measurable, traceable business impact.
High-quality opportunities are consistently converted into delivery-ready initiatives.
Discovery activities contribute to a measurable increase in Digitalisation pipeline quality and throughput.
Required Skills & Experience
Experience in business process analysis, operational analysis, or continuous improvement roles.
Ability to map and clearly explain processes (BPMN, flow diagrams, or equivalent).
Working knowledge of SQL for operational data exploration.
Basic–intermediate Python (Pandas) 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.
Ability to create clear presentation materials for business and non‑technical groups.
Experience in Agile or iterative environments.
Desirable Skills
Exposure to process mining concepts (event logs, variants, throughput, conformance).
Experience working with or interpreting outputs from 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.
Experience or interest in business process optimisation or Lean/CI approaches.
Exposure to automation, analytics, machine learning, or AI initiatives.
Ability to interpret operational metrics to support prioritisation.
Experience in regulated or operationally complex environments.
Strong interest in digital transformation and intelligent automation.
Experience working within Capital Markets, Financial Services, Operations, Post Trade, Market Data or other regulated environments.
Why Join Us
You will be part of a hands‑on Digitalisation function delivering practical, high‑impact transformation across DSM — and we’re excited about what you’ll bring to the team!
This is a great opportunity to grow your skills and make a visible difference from day one!
This role offers:
Direct involvement in automation, data, ML, and AI initiatives
Deep exposure to operational processes across Capital Markets
Close collaboration with engineering teams
Opportunities to grow analytical, process, discovery, and engagement skills
The ability to visibly shape operational efficiency, resilience, and effectiveness
Career Stage:
Senior Associate
London Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
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