LSEG on cord

LSEG

Business Process Analyst

External position
London, UK
Hiring internally for LSEG?
Finance · Data
We play a vital social and economic role in the world’s financial system.
Posted
2 days ago
Checked
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2 days ago

Skills & Experience

Job roles: Business Analyst
Experience level: Senior
Core skills considered: Business Analysis, SQL, Python, Power BI, Agile
Other skills considered: Process management, Data Analysis, Machine Learning, Data Driven

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: On-site
Visa sponsorship: Not available

Job Description

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 Responsibilities

Business 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.
  • 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.

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, and 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
Business Process Analyst at LSEG
Position posted 2 days ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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