LSEG Associate Software Engineer freshers entry level candidates apply now Full Time NEW

The Emerging Tech Standard Delivery Team drives the adoption of advanced technologies and develops enterprise‑ready solutions for D&A Operations. In this role, the individual partners with Operations and Technology teams to design data‑driven solutions that deliver clear business and customer value.

Role, Responsibilities & Key Accountabilities:

• Data handling, data processing and programming
• Develop and deploy machine learning and deep learning models to solve complex problems
• Develop automated solutions for sourcing/loading Entity data into Database
• Analyse Legal entity content to establish patterns/trends
• Develop, improve and run quantitative models
• Generate solutions through machine learning for core processes
• Implement web scraping techniques to gather relevant data from various sources.
• Work with business, content and product groups for large-scale analytics problems
• Build POCs, visualizations and pipeline tools for product design and development
• Work with development groups for deployment of analytics solutions
• Work with large language models (LLMs) for natural language processing tasks.
• Interact with other internal teams as needed, with supervision.

Required Skills:

• Proficiency in ML, deep learning, and statistical analysis techniques.
• Extensive experience on using Python, Power Apps, SQL…
• Proficient in using tools and libraries such as scikit-learn, NumPy, pandas and jupyter
•  Solid relational database skills
• Solid understanding of statistics and statistical language such as R
• Ability to handle large quantities of data
• Narrate stories (to technical and mostly non-technical audience) about our content and processes by data analysis and visualization
• Strong written, communication and presentation skills. Able to respond and present work to peers, senior management and other stakeholders
• Certified (or attempting) as a Lean / Six Sigma green/black belt with practical experience in Lean Project Management along with practical experience in coaching, facilitation, Lean deployments, and Lean projects
• Project management or/and Process optimization experiences (can have been informal as part of wider roles and responsibilities, but must be demonstrable if so)

Preferred

• Exposure to financial services, investment banking, or related domains.
• Familiarity with Refinitiv or LSEG platforms and datasets.
• Experience working with distributed or global teams.

Education:

• Master’s degree in Statistics, Mathematics, or Computer Science with a Data Science certification, or an Engineering degree specializing in Data Science and Artificial Intelligence.
• Proficiency in Python, R, and SQL.

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