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LSEG

Senior AI Analyst

LSEG is hiring a Senior AI Analyst in Bengaluru, India. Level rates it ; you can apply on LSEG.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions LLMs, AI safety and AI governance among its tools and skills.
  • Level classes it as a senior role.
  • LSEG has 695 other open roles on Level.
  • Posted within the past week.

AI in this role

Senior AI analyst collaborating across teams to shape and deliver AI and LLM-enabled use cases and ensure proper governance.

LLMs
ai-safetyai-governancedata-analysisstakeholder-managementuse-case-discovery

Role Summary

The Strategy, Insights & Performance team at LSEG supports people across the organisation by helping them work with information in clear and useful ways.

In this role, you will be part of a welcoming and collaborative team. You will work with colleagues from different backgrounds and roles to explore questions, share ideas, and contribute to positive outcomes. You will have opportunities to learn how information and tools are used across the Research Insights & Analytics (RIA) group.

This role is designed for someone who enjoys learning, teamwork, and contributing to shared goals in a supportive environment.

What You’ll Be Doing

  • Work with teams across RIA to shape and deliver AI‑enabled use cases, from early ideas through to adoption.

  • Collaborate with business partners to explore opportunities where AI can support efficiency, insight generation, and decision‑making.

  • Contribute to the evaluation and use of tools, methods, and approaches aligned with LSEG‑approved AI and analytics platforms.

  • Support the development of AI solutions that align with LSEG governance, risk, and compliance requirements.

  • Help embed AI‑driven insights into existing delivery channels, such as dashboards, reports, workflows, and client outputs.

  • Support adoption by contributing to documentation, knowledge‑sharing sessions, and practical guidance for RIA users.

  • Share perspectives on how AI insights can be applied within everyday workflows and decision‑making.

What You’ll Bring

  • Experience working with AI‑enabled or data‑driven solutions, including exposure to large language models (LLMs), in a business or enterprise environment.

  • Experience supporting projects or initiatives that involve multiple teams, priorities, or stakeholders.

  • Ability to help shape and structure business questions into AI‑, LLM‑, or analytics‑based use cases.

  • Experience using or supporting enterprise tools and platforms, such as approved AI, LLM, analytics, data, or reporting solutions.

  • Clear communication skills, with the ability to explain AI and LLM‑related concepts in accessible ways to a wide range of audiences.

You do not need to meet every requirement to apply.
If this role sounds interesting to you, we encourage you to apply and start a conversation.

Nice to Have

  • Experience working in financial services, data, research, or information‑focused environments.

  • Awareness of topics such as AI governance, model risk, and responsible AI, with interest in applying these principles in practice.

  • Experience using applied analytics or data science approaches, with exposure to tools such as Python, R, or SQL.

  • Experience working with large or complex datasets in a business setting.

  • Experience contributing insights to operational processes or client‑facing outputs.

  • Exposure to change, enablement, or adoption‑focused activities.

  • An organised approach to work, with attention to detail and an ability to manage priorities.

  • Curiosity and a proactive approach to learning and continuous improvement.

  • A collaborative, stakeholder‑focused mindset, with the ability to work effectively with others.

  • A practical approach, with interest in delivering meaningful business outcomes.

What You’ll Get in Return

  • Support for learning, development, and career growth.

  • Opportunities to work with people across many teams.

  • Exposure to modern tools and ways of working.

  • A supportive environment where different perspectives are valued.

  • An inclusive workplace that encourages collaboration and wellbeing.

Our Commitment to Inclusion

We welcome applications from people of all backgrounds and experiences.
We value different perspectives and are committed to creating an inclusive workplace where everyone feels supported to do their best work.

Proud to share that LSEG India is Great Place to Work® certified (Jun ’25 – Jun ’26).

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.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

How we rate this

Senior AI Analyst at LSEG rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI SafetyAI GovernanceData AnalysisStakeholder ManagementUse Case DiscoveryLLMs

Questions you could be asked

  1. How do you think about the risk of an AI system in this kind of role failing silently?
  2. Tell me about a project where ai governance was part of your work. What did you do?
  3. Tell me about a project where data analysis was part of your work. What did you do?
  4. Tell me about a project where stakeholder management was part of your work. What did you do?
  5. Tell me about a project where use case discovery was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Safety, AI Governance, Data Analysis, Stakeholder Management, and Use Case Discovery. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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