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Pensions Data Manager
Actuarial Futures
United Kingdom
On-site
GBP 60,000 - 80,000
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Job summary
This innovative firm is seeking a talented pensions manager with a passion for data analysis and a solid understanding of pensions data. In this exciting role, you will be at the forefront of data improvement initiatives, working with large datasets and implementing data cleansing strategies. Your expertise in GMP projects and defined benefit pensions will be crucial as you prepare data for transactions and audits. Join a major global consultancy where your contributions will make a significant impact on the business and foster your professional growth in a dynamic environment.
Qualifications
- Deep understanding of pensions data and experience in data audits.
- Ability to work with large data sets and technical aspects of defined benefit pensions.
Responsibilities
- Play a key role in data preparation for transactions and audits.
- Design and implement data improvement plans and cleanse data.
Skills
Data Analysis
Pensions Management
GMP Experience
Technical Understanding of Defined Benefit Pensions
Programming Skills (C#)
Microsoft Excel
R
Python
VBA
Power Query
MS Access
SQL
Power Apps
Education
PMI or FIA/FFA PQ/Q
Tools
Microsoft Excel
R
Python
VBA
Power Query
MS Access
SQL
C#
Power Apps
Job description
Are you a talented pensions manager (PMI or FIA/FFA PQ/Q) with a passion for and deep understanding of pensions data and key associated projects?
Then this is an exciting opportunity to join a major global consultancy where you will make an impact within the business, being at the forefront of data analysis and cleansing alongside the design and implementation of data improvement plans.
In this diverse position, you will also play a key role in data preparation in advance of transactions (e.g. buy-ins), data audits, benefit audits and calculations and GMP projects. For this reason, prior GMP experience is essential.
You will also have a good understanding of the technical aspects of defined benefit pensions, with a particular focus on data.
Technically astute, you will possess the ability to work with large and complex data sets in Microsoft Excel, and good knowledge of R, Python, VBA, Power Query, MS Access, and SQL.
Practical experience in programming with C# and developing applications using Power Apps is also required.
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