At a Glance
- Tasks: Analyse complex datasets and write SQL queries to support financial reporting.
- Company: Join a leading finance team in a hybrid working environment in London.
- Benefits: Flexible work schedule, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and gain exposure to advanced analytics techniques.
- Why this job: Make an impact in finance while developing your data analysis skills.
- Qualifications: Strong data analysis and SQL skills; experience in finance is a plus.
The predicted salary is between 45000 - 55000 £ per year.
Data Analyst (Finance/Regulatory) – Hybrid Working, London (2 days a week on site). This role supports a strategic Liquidity Data Programme underpinning regulatory reporting and balance sheet management within the Digital Finance Team.
The ideal candidate will have experience in a Finance and/or Regulatory environment with domain knowledge in Liquidity, Treasury, and Regulatory Reporting. This role is based in London and can be engaged via Umbrella.
Responsibilities
- Analyze and validate large, complex datasets across multiple systems
- Write SQL queries to extract, reconcile, and interrogate data
- Translate business requirements into clear data and functional specifications
- Support data mapping, lineage, and target-state design
- Design and execute test scenarios and data validation checks
- Facilitate UAT and support implementation activities
- Collaborate with stakeholders across Finance, Risk, Treasury, and Technology
Qualifications
- Essential: Strong data analysis skills with hands-on experience with complex datasets
- Essential: Solid SQL capability (data extraction, transformation, validation)
- Essential: Experience delivering analysis within a data or technology environment
- Essential: Ability to manage and communicate with cross-functional stakeholders
- Highly desirable: Experience in Liquidity, Treasury, Regulatory Reporting
- Highly desirable: Knowledge of frameworks such as LCR, PRA110, DILAA/SOC, ALMM
- Highly desirable: Understanding of data modelling, mapping, and data quality controls
- Highly desirable: Exposure to AI / advanced analytics techniques (e.g., data-driven automation, machine learning, or AI-enabled insights)
Data Analyst - Finance - Lorien Impellam in London employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
