Senior Analyst - Methodology & Assumption (M&A) Actuarial Policyholder Data Team

Overview

Senior Analyst in the Methodology & Assumption (M&A) Actuarial Policyholder Data Team, operating, maintaining and making BAU updates to new data pipelines that validate, transform and enrich policyholder data used in actuarial modelling and assumption setting.

What you'll do

• Operate, maintain and make BAU updates to the new data pipelines that validate, transform and enrich data for actuarial modelling and assumption setting.
• Investigate and resolve data issues found pre-emptively or raised by stakeholders, using data analysis skills.
• Ensure data integrity by applying validation, quality checks, and governance standards.
• Collaborate with stakeholders to understand data requirements and translate them into transformation logic and code in the pipeline.
• Support internal and external audit queries with timely and comprehensive responses.
• Apply data analysis techniques to answer queries raised by users of the data.
• Ensure all enhancements are appropriately documented and meet business requirements before implementation.
• Maintain process documentation, data dictionaries, and operational procedures.
• Produce clear and accurate reports, dashboards, and visualisations to support business decisions.
• Support the development and refinement of data processes, tools, and methodologies.
• Communicate findings in a concise, structured, and accessible way to both technical and non-technical audiences.
• Manage own workload and deliver high-quality outputs within established frameworks, with support from experienced colleagues.
• Model Points Data Production and Experience Analysis tasks as assigned by the Team Manager.

What you'll need

• Strong analytical capability to interpret and translate data into meaningful insights.
• Proficiency in data analysis tools, reporting platforms, and structured query languages.
• Understanding of data governance, data quality, and validation practices.
• Ability to communicate complex information in a clear, structured, and engaging way.
• Strong attention to detail and commitment to accurate, high-quality work.
• Collaborative approach, with the ability to build effective working relationships across teams.
• Ability to prioritise tasks and manage workload effectively within defined processes.
• Continuous improvement mindset.
• Experience maintaining documentation, controls, and governance evidence to support auditability and operational resilience.
• Experience using Excel, Power BI, and/or Python to analyse data, automate checks, and produce reports or dashboards.
• Advanced Excel skills, including formulas, pivot tables, lookups, data validation, Power Query, and reconciliation techniques.
• 1-3 years of relevant Data Analytics experience (depending on role level).
• Bachelor's Degree / Master's Degree.

Nice to have

• UK Life Insurance experience.
• Databricks, Spark, Spark SQL and Python/PySpark.
• Experience working in Financial Services or a similar heavily audited environment with an understanding of operating controls and producing audit evidence.
• Financial services experience is very helpful.
• Any Data Analyst Certifications would be an advantage.

Details

• Location: Mumbai, India.