Do you love analysing, cleansing & managing big sets of DB pension scheme data- Then this techy[...]

Actuarial Futures; Manchester; On-site; GBP 60,000 - 80,000; Full time

Job summary

A major global consultancy is looking for a skilled pensions manager to spearhead data preparation and auditing. The ideal candidate will possess deep knowledge of defined benefit pensions and experience with large data sets. Proficiency in Excel, R, Python, and C# is essential for success in this hybrid role based in Manchester or London.

Qualifications

• Experience handling large and complex data sets.
• Strong programming skills in R, Python, and VBA.
• Practical experience in C# for application development.

Responsibilities

• Play a key role in data preparation for transactions.
• Conduct data audits and benefit audits.
• Undertake GMP projects.

Skills

Data preparation

Data audits

GMP project experience

Microsoft Excel

R

Python

VBA

SQL

C#

Power Apps

Education

PMI or FIA/FFA PQ/Q

Job description

Location & Employment

• Manchester or London / hybrid 2-3 dpw office-based
• Permanent
• Pensions

Overview

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.

Key Responsibilities

In this diverse role you will: 1) play a key role in data preparation in advance of transactions (e.g. buy‑ins); 2) conduct data audits, benefit audits and calculations; 3) undertake 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.

Qualifications

• Technically astute with the ability to work with large and complex data sets in Microsoft Excel.
• Good knowledge of R, Python, VBA, Power Query, MS Access and SQL.
• Practical experience in programming with C# and developing applications using Power Apps.