Job Description

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

• Design, build, and maintain scalable data pipelines that validate and transform data to meet actuarial modelling requirements.
• Implement checks and controls to ensure actuarial input data is complete, accurate, reconciled and available when required.
• Work with data suppliers to ensure data loads are complete and controlled.
• Monitor and optimise data performance, resolving issues and improving efficiency where needed.
• Maintain runbooks or support documentation
• Maintain process documentation, data dictionaries, and operational procedures
• Ensure all enhancements are appropriately documented and meet business requirements before implementation.

Additional Responsibilities :

• Collaborate with stakeholders to understand data needs and translate them into effective technical solutions.
• Works independently on well-defined deliverables and escalates material risks and issues appropriately
• Work with suppliers and actuarial users to resolve data exceptions
• Contribute to data governance, including documentation, standards, and controls.
• Deliver high-quality outputs with strong attention to detail, ensuring accuracy, consistency, and compliance with agreed standards
• Work independently within established frameworks, managing own and team’s workload management.

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 understanding of data structures, databases, and data modelling concepts.
• Experience working on data pipelines with data transformation, validation and storage processes.
• Ability to manage and process large datasets with attention to accuracy and quality.
• Familiarity with data governance and best practices in data management.
• Strong problem-solving skills and the ability to work collaboratively across teams.
• Experience working in Financial Services or a similar heavily audited environment with an understanding of operating controls and producing audit evidence
• Clear communication with both technical and non-technical stakeholders.
• Proactive approach to identifying and resolving issues.
• Commitment to continuous improvement and delivering high-quality outcomes.
• SQL
• Data management and modelling
• 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

Knowledge & Skills (Additional) :

• - Azure Databricks
• - Spark
• - Spark SQL
• - Python/PySpark

Experience:

• 4-10 years of relevant Data Engineering experience (depending on role level)
• Financial services experience, or a closely related field

Educational Qualification:

• Bachelor’s Degree / Master’s Degree
• Any Data Engineering 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.