KPMG Global ServicesFreshers JobsOfficial Job Posting

Analyst - Actuarial Services at KPMG Global Services

Bengaluru / Gurugram, IndiaOnsite0–2 YearsNot specified

KPMG Global Services (KGS) is a joint venture between KPMG member firms, delivering high-quality advisory, audit, and tax support services globally.

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KPMG Global Services Analyst - Actuarial Services career opportunity
Official Role Details

Role Overview

Company Overview

KPMG Global Services (KGS) is a joint venture between KPMG member firms, delivering high-quality advisory, audit, and tax support services globally.

Role Summary

The KGS Actuarial Services team provides actuarial support to multiple KPMG member firms, primarily KPMG UK and US.

Operating in a team extension model, colleagues engage in a healthy mix of advisory and audit projects, regulatory changes such as IFRS17, non-life reserving, and advanced technology integration using machine learning and data visualization.

Candidate Guidelines

Applicants should have a strong quantitative background with progress in actuarial examinations and a passion for data analytics, statistical modeling, and technology-driven audit solutions.

Applicant Requirements

Eligibility Criteria & Qualifications

Degree / QualificationB.E / B.Tech / MCA / B.Sc
Eligible BatchesNot specified
Official Eligibility Points
  • Bachelor's or Master's degree in Actuarial Science, Statistics, Mathematics, or related field.
  • 0 to 2 years of relevant experience in actuarial or analytics domains.
  • Progress in recognized actuarial society exams (IFoA, IAI, SOA, or CAS) is preferred.
  • Strong analytical and logical reasoning skills.
Day-to-Day Deliverables

Key Responsibilities

Requirements & Business Analysis

  • •Collaborate with KPMG UK and US member firms on advisory and audit engagements.
  • •Perform quantitative analysis, risk assessment, and financial data modeling.

Process & Data Analysis

  • •Assist in implementing regulatory frameworks such as IFRS17 across client setups.

Stakeholder Communication & Recommendations

  • •Utilize machine learning and advanced data visualization for non-life reserving and audit setups.
Technical Qualifications

Required Skills & Technologies

Actuarial ScienceIFRS17Non-life ReservingMachine LearningData VisualizationStatistical ModelingData Analytics
Official Application Method

How to Apply

Submit your application directly through KPMG Global Services's verified careers portal.

01

Review the published role requirements, degree qualifications, and eligible graduation batches above.

02

Ensure your resume highlights relevant projects and contains working GitHub repository links.

03

Click the official application button below to open KPMG Global Services's direct careers page.

04

Complete and submit your application directly on the employer's portal.

Apply on KPMG Global Services Official Careers Page

You will be directed to KPMG Global Services's official careers portal. Career Insights does not process applications or charge any candidate fees.

The specifications above are verified official details published by KPMG Global Services. Candidates should verify all final terms, deadlines, and eligibility directly on KPMG Global Services's official careers portal before submitting an application.

Career Insights

Recommended Preparation

Independent editorial guidance based on the published role information.

What to Prepare

Evaluate your business analysis and requirements background against published criteria and practical case study focus areas.

Education & Academic Criteria
Cohort: Eligible: Not specifiedPublished Requirement
Published Requirement

B.E / B.Tech / MCA / B.Sc

Preparation Focus

Hiring evaluations prioritize demonstrable problem-solving, domain competence, and practical project evidence over specific degree pedigree.

Requirements Elicitation & Process Mapping
Published Requirement
Published Requirement

Business requirements documents (BRD), user stories, and process flows.

Preparation Focus

Master user story format (As a / I want / So that), acceptance criteria, BPMN or flowchart modeling, and prioritizing requirements using frameworks like MoSCoW.

Data Interpretation & Business Impact Analysis
Published Requirement
Published Requirement

Data analysis, spreadsheet modeling, and KPI reporting.

Preparation Focus

Be ready to analyze business trends using Excel (pivot tables, lookup formulas, data validation), define operational KPIs, and articulate data-backed recommendations.

Data Storage & Persistence
Published Requirement
Published Requirement

Basic understanding of data storage, serialization, and persistence.

Preparation Focus

Be prepared to explain relational normalization (1NF-3NF), indexing trade-offs, foreign key constraints, and transactional consistency.

Documentation & Operational Tooling
Published Requirement
Published Requirement

Familiarity with documentation standards, ticketing workflows, or collaboration tools.

Preparation Focus

Demonstrate structured written documentation, status reporting, and proficiency in collaborative platforms (Jira, Confluence, Service Desk).

Work Mode & Collaboration
Published Requirement
Published Requirement

Onsite (Bengaluru / Gurugram, India) operational structure.

Preparation Focus

Highlight proactive written communication, technical documentation discipline, and the ability to troubleshoot errors systematically before escalating.

Technical Topics

Depending on the hiring team’s evaluation style, technical assessments for this role typically cover these core areas:

01

Topic 1: Requirements Elicitation, User Stories & Acceptance Criteria

Preparation Topic
  • Translating ambiguous stakeholder requests into structured functional requirements
  • Writing user stories in standard format with testable acceptance criteria
  • Requirement prioritization techniques (MoSCoW, Kano model)
Preparation Tip: Practice structuring ambiguous business problems into clear user stories with explicit boundary conditions and edge-case handling.
02

Topic 2: Business Process Modeling & Workflow Architecture

Preparation Topic
  • Business Process Model and Notation (BPMN) and swimlane diagrams
  • Current-state (As-Is) vs future-state (To-Be) gap analysis
  • Identifying operational bottlenecks, handoff friction, and redundancies
Preparation Tip: Be ready to walk through a process mapping exercise, explaining where delays occur and how technology streamlines the workflow.
03

Topic 3: Quantitative Analysis, Excel Modeling & KPI Definition

Preparation Topic
  • Spreadsheet modeling with advanced formulas (INDEX/MATCH, XLOOKUP, dynamic arrays)
  • Defining operational and financial KPIs (ROI, turnaround time, error rates)
  • Data validation, scenario modeling, and sensitivity analysis
Preparation Tip: Be prepared to explain how you analyze spreadsheet data to uncover business trends and calculate the projected ROI of proposed changes.
04

Topic 4: Stakeholder Alignment, Change Management & Trade-offs

Preparation Topic
  • Balancing conflicting business stakeholder priorities against technical feasibility
  • Facilitating requirements review sessions and capturing sign-off
  • Change management and user adoption training plans
Preparation Tip: Use specific examples of how you negotiated trade-offs between what business stakeholders wanted and what the engineering team could realistically deliver.
05

Topic 5: Executive Communication & Decision Presentation

Preparation Topic
  • Presenting data insights clearly to non-technical executive leadership
  • Creating executive summaries, deck presentations, and decision matrices
  • Answering spontaneous scrutiny on data assumptions and cost projections
Preparation Tip: Focus on bottom-line impact: start with the conclusion and recommendation, followed by the supporting evidence and risk mitigation.

* Note: These are independent Career Insights editorial recommendations to help candidates structure their study plan. They do not represent guaranteed interview stages or official hiring mandates from KPMG Global Services.

Before You Apply

Verify your requirements documentation samples, process diagrams, and application materials before applying.

1. Role-Tailored Resume & Case Study Artifacts

Ensure your resume clearly highlights analytical projects involving Actuarial Science, IFRS17, Non-life Reserving. Include links to sample requirements documents, process workflows, or interactive dashboards.

2. Eligibility & Background Verification

Confirm that your education, experience level, and location align with KPMG Global Services's published requirements before applying.

3. Case Study & Decision Walkthrough Review

Have 1–2 business analysis or process improvement case studies prepared. Be ready to explain your requirements prioritization, stakeholder trade-offs, and quantitative ROI.

4. Direct Submission on KPMG Global Services's Official Portal

Submit your application directly through KPMG Global Services's official careers portal using the verified apply link below. Career Insights does not process applications or charge any candidate fees.

Career Growth Context

Editorial analysis of how this role advances business consulting, domain mastery, and cross-functional leadership.

1

Business Domain & Reporting Onboarding

Developing deep familiarity with core business processes, financial data models, regulatory requirements, and stakeholder reporting cadences.

2

Requirements Modeling & Functional Delivery

Translating business requirements into detailed functional specifications, process flow diagrams, and variance analysis models.

3

Process Optimization & Cross-Functional Strategy

Leading change-management workflows, identifying revenue or efficiency improvements, and presenting data-driven recommendations to leadership.

4

Progression Toward Senior Business Consultant / Lead

Overseeing enterprise business transformations, mentoring functional analysts, and aligning technology solutions with executive strategic roadmaps.

Career Insights Context: Career progression in business and financial analysis is driven by deep domain mastery, quantitative precision, and the ability to turn complex operational data into actionable strategic outcomes.
Career Insights Editorial Standards

This page provides verified job details sourced from KPMG Global Services's recruitment announcement, alongside independent preparation roadmaps authored by the Career Insights editorial team. Career Insights is not affiliated with KPMG Global Services and does not collect candidate data or charge application fees.