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описание
Legal & General is a UK financial services group and global investor. It manages assets, originates investments, and provides retirement and protection solutions, including pension risk transfer, life insurance, workplace pensions, and retirement income.
задачи
Partner with traders and global markets teams to understand data needs and deliver practical solutions
Build and maintain scalable data pipelines, datasets, and analytical tools
Support quantitative research initiatives, including developing and applying analytical models
Identify gaps in data infrastructure and drive improvements to reliability and scalability
Act as the first point of contact for data and analytics issues, diagnosing and resolving problems
Collaborate with global stakeholders to support workflows across multiple regions
Enhance data quality, governance, and accessibility across platforms
Translate complex technical outputs into clear insights for non-technical audiences
требования
Strong Python experience, including Pandas, NumPy, or similar data analysis libraries
Advanced SQL skills and experience working with relational databases
Experience building data pipelines, working with cloud platforms, and integrating APIs
Solid understanding of data engineering principles and scalable data architecture
Strong communication skills and ability to engage and collaborate with non-technical stakeholders
Proven problem-solving ability and experience working in a fast-paced environment
Будет плюсом: experience in financial services or a trading environment, data visualisation tools such as Tableau, exposure to advanced analytics or machine learning
условия
Annual performance-related bonus plan and share schemes
Generous pension contribution
Life assurance
Healthcare Plan for permanent employees only
At least 25 days’ holiday plus public holidays; 26 days after 2 years’ service; option to buy and sell holiday
Competitive family leave
Electric car scheme through tax-efficient salary sacrifice for permanent employees only
Discounts on company products and at high street stores and online
The role is 5 days per week on-site; hybrid working is not available for this role
Flexible working options, including part-time, term-time, and job shares, may be discussed