About M&G India
We are M&G India, the strategic innovation and digital hub for M&G. Established in 2003, we have offices in Mumbai and Pune.
Our teams work closely with colleagues across the Group worldwide to drive transformation, build digital capability, and support sustainable growth. By leveraging technology, AI, automation, and process excellence, we bring new ways of thinking to improve outcomes for both customers and colleagues.
Grounded in a vibrant culture with strong foundations, we are central to how M&G is transforming as a business.
About M&G
Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions.
Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.
Through telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.
Overall Job Purpose
Individual would be part of the Methodology & Assumption (M&A) Actuarial Policyholder Data Team within the Actuarial Modelling & Valuation Centre of Excellence in Finance.
A new solution for the validation and transformation of policyholder data used in actuarial modelling and assumption setting is being built.
This role will operate, maintain and make BAU updates to the new data pipelines which will validate, transform and enrich data for use in actuarial modelling and assumption setting. It will use its strong data analysis skills to investigate and resolve data issues found pre-emptively or those raised by stakeholders.
The role contributes to the continuous improvement of data processes, ensuring accuracy, consistency, and clarity in outputs while working within defined guidelines. Communication of findings is clear, structured, and tailored to support stakeholders in progressing with confidence.
Individual is accountable and responsible for the Model Points Data Production and Experience Analysis related tasks as assigned by the Team Manager. The person would act as necessary support to the team by carrying the tasks for the process with an acceptable standard of quality and within agreed timelines.
Primary Key Responsibilities
- Ensure data integrity by applying validation, quality checks, and governance standards.
- Implement controls and remediation actions to improve data accuracy and completeness
- Maintain process documentation, data dictionaries, and operational procedures
- Collaborate with stakeholders to understand data requirements and translate them into transformation logic and code that into 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.
Additional Responsibilities :
- 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.
- Work independently within established frameworks, managing own and team’s workload management
- Deliver high-quality outputs with strong attention to detail, ensuring accuracy, consistency, and compliance with agreed standards
Key Stakeholder Management
Internal
M&G India Team manager
UK Team manager
Other senior stakeholders
Risk Team
External
Diligenta
PwC
WTW
Knowledge, Skills, Experience & Educational Qualification
Knowledge & Skills (Must Have) :
- Strong analytical capability with the ability 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 delivering accurate, high-quality work.
- Collaborative approach, with the ability to build effective working relationships across teams.
- Experience working in Financial Services or a similar heavily audited environment with an understanding of operating controls and producing audit evidence
- Ability to prioritise tasks and manage workload effectively within defined processes.
- Stakeholder engagement
- Problem Solving and Root Cause Analysis
- 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
- Strong understanding of data pipelines, including validation, transformation, enrichment, monitoring, and BAU maintenance
Knowledge & Skills (Additional) :
- UK Life Insurance experience
- Databricks, Spark, Spark SQL and Python/PySpark
- People management
Experience:
- 6-10 years of relevant Data Analytics experience (depending on role level)
- Financial services experience, or a closely related field
Educational Qualification:
- Bachelor’s Degree / Master’s Degree
- Any Data Analyst Certifications would be an advantage.
M&G Behaviours relevant to all roles:
Tell it like it is: Respectfully speaking up to create better ways forward both direct and empathetic
Own it now: Putting your name on things with confidence to drive progress and results quickly
Move it Forward Together: Forming cross-functional teams to seize the right opportunities and solve real problems.
We have a diverse workforce and an inclusive culture at M&G Global Services, regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.
Skills Required
- Strong analytical capability with ability to interpret and translate data into 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 clearly to technical and non-technical audiences
- Strong attention to detail and commitment to high-quality work
- Collaborative approach and ability to build effective cross-team relationships
- Experience working in Financial Services or heavily audited environment with operating controls and audit evidence
- Ability to prioritise tasks and manage workload within defined processes
- Stakeholder engagement experience
- Problem solving and root cause analysis skills
- 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
- Strong understanding of data pipelines including validation, transformation, enrichment, monitoring, and BAU maintenance
- 6-10 years relevant Data Analytics experience
- Bachelor's Degree or Master's Degree
- UK Life Insurance experience
- Databricks, Spark, Spark SQL and Python/PySpark experience
- People management experience
- Any Data Analyst certifications
M&G Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about M&G and has not been reviewed or approved by M&G.
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Retirement Support — Pension support in the UK is presented as notably generous versus typical market norms and is positioned as a core part of total reward. Formal materials also highlight share plans and financial‑wellbeing tools alongside pension value.
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Leave & Time Off Breadth — Annual leave in the UK is described as substantially above statutory norms with the option to purchase additional days. Additional flexibility is referenced through policies such as “Time Off When You Need It.”
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Parental & Family Support — Parental policies (e.g., “Inspiring Families”) are characterized as extensive, including long fully paid leave and phased return‑to‑work support. External recognition is cited as reinforcing family support as a distinctive element of the package.
M&G Insights
What We Do
M&G plc is a leading international savings and investments business, managing money for around 4.6 million individual clients and more than 900 institutional clients in 38 offices worldwide. As at 31 December 2023, we had £343.5 billion of assets under management and administration. Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, M&G plc has a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions. Our three distinct operating segments, Asset Management, Life and Wealth, work together to provide access to balanced, long-term investment and savings solutions.
