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.
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