data analyst in global markets

HireHi; Greater London; On-site; GBP 75,000 - 110,000; Full time

Benefits offered by this job

Annual bonus

Share schemes

Generous pension contribution

Life assurance

Healthcare plan (permanent employees)

Holiday entitlement (25+ days)

Electric car scheme

Employee discounts

Job summary

Legal & General seeks a skilled data engineer to partner with global markets, build scalable data pipelines, and support quantitative research. You will work across regions, ensuring data quality and accessible analytics for non-technical stakeholders.

Candidates should have strong Python and SQL skills, cloud experience, and an ability to translate complex outputs into clear insights. This is an on-site role in Greater London with a comprehensive benefits package.

Qualifications

• Strong Python experience with Pandas/NumPy.
• Advanced SQL and relational databases.
• Experience building data pipelines on cloud platforms and API integration.
• Solid understanding of data engineering and scalable architecture.
• Strong communication with non-technical stakeholders.
• Proven problem-solving in fast-paced environments.
• Nice to have: financial services or trading exposure; Tableau; ML.

Responsibilities

• 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 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.

Skills

Python (Pandas/NumPy)

SQL

Data pipelines

Cloud platforms

APIs

Data engineering principles

Communication

Problem solving

Finance/trading experience

Tableau

Machine learning exposure

Tools

Tableau

Job description

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.