# Senior Associate - Strategy, Insights & Performance

**Company**: London Stock Exchange Group (LSEG)
**Location**: Bangalore, RMZ Infin
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Finance

**Apply**: https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/IND-Bangalore-TowerERMZ-Infin/Senior-AI-Analyst_R0119082-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_08594c87-981

## Description

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.

**Responsibilities**

- 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.

**Requirements**

- 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.

**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.

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## Skills

### Required
- AI
- data-driven solutions
- large language models (LLMs)
- analytics
- communication

### Nice to have
- Python
- R
- SQL
- applied analytics
- data science

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