Annuities Data Analyst, RS&AM

Posted 8 Days Ago
London, Greater London, England, GBR
Hybrid
34K-34K Annually
Junior
Insurance • Financial Services
The Role
Support BPA and Reinsurance implementations by analysing scheme benefit specifications and large pension datasets, validating and cleansing data, reconciling payroll and migration reports, updating models for bulk validations and projections, producing management information, and liaising with internal and external stakeholders to resolve data issues.
Summary Generated by Built In

We’re looking for an Annuities Data Analyst to join our Data Team within Client Services. If you’re looking for a new challenge with an organisation committed to putting customers first, aiming high and working together, you’ll thrive here.

Job Type:  Permanent 

Location: This role will be based from our London office with time spent working from home and from the office.

Flexible working: All roles are open to part-time, job-share and other types of flexibility. We will discuss what is important to you and balancing this with business requirements during the recruitment process. You can read more about flexible working here.

Salary and benefits: From £33,500 depending on experience plus discretionary bonus, private medical cover, 38 days annual leave, excellent pension, 12x salary life assurance, career breaks, income protection, 3x volunteering days and much more.

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Who are we? 

We’re Standard Life, a retirement specialist focused entirely on retirement savings and income. We champion the belief that everyone’s journey to and through retirement can be better, and for more than 200 years, we’ve been helping our customers plan and prepare for their financial futures.

 

Life today is increasingly complicated, uncertain and unpredictable. People move through different careers, face unexpected moments and navigate important choices. We offer our colleagues flexibility, trust and benefits that work for whatever life brings. In return we expect curiosity, connection, accountability and high standards. We make room for what matters - so you can bring your best, every day.

 

The role  

 

Working closely with the Senior Data Analysts, Transition Managers and Reinsurance team, you will support many aspects of the overall BPA and Reinsurance implementation journeys. 

 

  • You will assist in analysing scheme benefit specifications and large pension datasets, to identify system development requirements to our outsourced administrator’s framework.

  • Provide support to the BPA implementation process, by assisting in the data and payroll reconciliation process by analysing data migration reports provided by our outsourced administrator, replicating the process and challenging any differences.

  • Support with the validation of scheme data during the implementation and data cleanse processes ensuring all data sets are complete, accurate and fully in line with the respective benefit specifications querying any differences.

  • Update models to align with the benefit specifications to allow bulk validations and payroll projections to be run and investigate/query any discrepancies.

  • Support the Transition Manager at Trustee and Scheme Administrator meetings with your knowledge of the scheme data by discussing any data issues found and seeing these through to rectification at data cleanse.

  • Build and maintain relationships with internal stakeholders, Phoenix’s outsourced administrator, scheme administrators and Trustees.

  • Assist in the production of detailed and accurate management information to support the oversight of BPA and Reinsurance performance.


What are we looking for?

  • Knowledge of Defined Benefit (DB) pensions, Bulk Purchase Annuities (BPA) or similar long-term savings products
  • Experience analysing, manipulating and validating large datasets, ideally within a pensions, insurance or financial services environment.
  • Strong Microsoft Excel skills, including formulas, lookups, pivot tables, reconciliations and data quality checks.
  • Experience performing data validation, cleansing and quality assurance activities to ensure data accuracy and integrity.
  • Ability to investigate data discrepancies, exceptions and anomalies, supporting issue resolution and root cause analysis.
  • Experience producing and documenting data analysis, reports, reconciliations and findings to support business, customer and regulatory requirements.

We want to hire the whole version of you.

We are committed to ensuring that everyone feels accepted and welcome applicants from all backgrounds. If your experience looks different from what we’ve advertised and you believe that you can bring value to the role, we’d love to hear from you. 

 If you require any adjustments to the recruitment process, please let us know so we can help you to be at your best. 

We’re reviewing applications as they come in, so apply early to avoid missing out.

Find out more about working at Standard Life

  • Guide for Candidates: standardlifeplc.pagetiger.com/guideforcandidates
  • Find or get answers from our colleagues: www.standardlifeplc.com/careers/talk-to-us

#LI-KM1 #LI-HYBRID

Skills Required

  • Knowledge of Defined Benefit (DB) pensions, Bulk Purchase Annuities (BPA) or similar long-term savings products
  • Experience analysing, manipulating and validating large datasets, ideally within pensions, insurance or financial services
  • Strong Microsoft Excel skills, including formulas, lookups, pivot tables, reconciliations and data quality checks
  • Experience performing data validation, cleansing and quality assurance activities to ensure data accuracy and integrity
  • Ability to investigate data discrepancies, exceptions and anomalies and support issue resolution and root cause analysis
  • Experience producing and documenting data analysis, reports, reconciliations and findings to support business, customer and regulatory requirements
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The Company
HQ: London, England
2,185 Employees

What We Do

Standard Life champions the belief that everyone’s journey to and through retirement can be better, using our size, expertise and influence - to shape the world our customers will retire into.

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