The Job logo

What

Where

LSEG (London Stock Exchange Group) Logo

LSEG (London Stock Exchange Group)

http://www.lseg.com/

About

LSEG (London Stock Exchange Group) is a diversified international markets infrastructure business —earning our clients’ trust for over 300 years. That legacy of customer-focused excellence ensures that you can rely on our expertise in capital formation, intellectual property and risk and balance sheet management. As global leaders in financial indexing, benchmarking and analytic services, we offer unrivalled access to international capital markets. 

Our high-performance technology solutions enable companies worldwide to access funds for growth and development. And with our Data & Analytics, Capital Markets and Post Trade divisions, we provide a comprehensive, integrated suite of trusted financial market infrastructure services that help our customers pursue—and achieve—their ambitions. 

You can count on our open access model for unparalleled partnership, flexibility, stability, and support across all of our businesses. That’s how we make a difference— ensuring people can meet their potential—worldwide.

Active Jobs

28 Jobs

Category

Financial Services

Headquarters

London, England, United Kingdom

Recent jobs

LSEG (London Stock Exchange Group) Logo

Junior Data Scientist

LSEG (London Stock Exchange Group)

Bengaluru, Karnataka, India

Posted: 2 days ago

We are looking for a skilled Data Scientist to join our dynamic Analytics Centre of Excellence team. This role combines Data Science, Python development, and business analysis to deliver actionable insights and solutions that drive strategic decisions. Knowledge and experience will be put into practice to Quantitative Engineering, financial instrument pricing, and analytics to shape the direction of our technology and tools, impacting both internal and external customers. This position offers a unique opportunity to work on Data Science projects, Python applications, and requirement analysis, based on your strengths and interests. Whether developing ML models, writing Python code, or collaborating with business partners, playing a key role in the successful delivery of projects. Key responsibilities: Data Science: Own development of sophisticated data science and machine learning models, using large datasets to drive business decisions and data-driven strategies across the organization. Python Programming: Design, develop, and maintain Python-based software solutions that meet business needs, collaborating with team members to ensure seamless integration and optimization. Requirement Analysis: Work closely with cross-functional teams to validate requirements, analyze both qualitative and quantitative data, and contribute to the identification of short- and long-term solutions. Process Improvement: Contribute to process improvements, problem resolution workflows, and preventive measures, while actively participating in project planning and technical solution design. Project Transparency: Provide regular updates on project progress and challenges, ensuring transparency with leadership and adhering to disciplined development processes. Independent Work: Work autonomously with minimal guidance, demonstrating ownership of projects and accountability for your expertise and handling ambitious projects. Flexible Shift & On-Call Coverage: Available for a 12-9pm shift and on-call support as needed. Skills & experience required: Strong Python Skills: Proficient in Python for software development, maintenance, and integration. Data Science Expertise: Extensive experience in machine learning, AI, and advanced analytics to design and implement data-driven solutions. Requirement Analysis: Strong ability to validate business requirements, ensuring alignment with technical solutions and providing realistic sizing. Communication: Excellent written and verbal communication, capable of explaining complex ideas to both technical and non-technical audiences. Financial Analysis: Experience with financial markets and quantitative finance. Collaboration: Proven ability to work in a multi-disciplinary team, with experience in mentoring junior developers. Quantitative Finance Knowledge: Good understanding of financial mathematics, including pricing financial instruments and modeling financial markets. Desirable skills: Project Management: Experience managing project updates, particularly with Agile methodology. Refinitiv Tools: Familiarity with Refinitiv Eikon/Elektron/Workspace products. ESG Data Modeling: Experience in financial modeling, particularly with ESG (Environmental, Social, and Governance) data.