📋 Job Details at a Glance 📍 Location Gurgaon, India 🏢 Company Genpact 👥 Experience 1-3 years 🎓 Qualification Hands-on with Python, SQL. Relevant technical qualification and demonstrated shipping experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL Actuarial Analytics Domain Analytics Process Intelligence AI Models Analyst, Domain Analytics, Actuarial at Genpact — Full Details & How to Apply Genpact is hiring for an Analyst, Domain Analytics, Actuarial role in Gurgaon, India , with a specific requirement for hands-on Python and SQL experience to support actuarial analytics and process intelligence . This position is part of Genpact recruitment in the Technology industry, offering direct exposure to AI models and large-scale domain analytics tools. This Analyst, Domain Analytics, Actuarial role involves conducting actuarial analytics using Python and SQL , applying process intelligence to real-world data, and leveraging AI models to support decision-making. The responsibilities focus on technical execution, data analysis, and model application in actuarial domains, with an emphasis on measurable outcomes from data-driven processes. The job posting confirms that Genpact is seeking candidates for this role within its Technology division. The position is part of a team that uses AI and process intelligence to solve complex challenges, and it is located in Gurgaon, India with a hybrid work mode. The role is explicitly tied to technical qualifications and demonstrated shipping experience. 2023, 2024, 2025, 2026 graduates should apply if they have hands-on with Python, SQL , a relevant technical qualification, and demonstrated shipping experience . The role requires 1-3 years of experience , and the salary is Not Disclosed . Applicants will gain hands-on experience with Python , SQL , Actuarial Analytics , Domain Analytics , and Process Intelligence . This role provides a foundation for progressing into more advanced analytics or AI-driven roles within Genpact ’s technology ecosystem. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Explore more Analyst, Domain Analytics, Actuarial jobs and Gurgaon, India jobs through Genpact recruitment . Job Role & Responsibilities The Analyst, Domain Analytics, Actuarial role at Genpact enables data-driven risk assessment and financial forecasting by leveraging Python and SQL to analyze actuarial datasets and validate process performance metrics. This role directly supports operational efficiency through automated reporting and model maintenance in real-world actuarial workflows. Analyze large-scale insurance datasets using Python and SQL to extract key metrics such as claim frequency, loss ratios, and exposure trends for actuarial forecasting. Utilize Actuarial Analytics to interpret risk patterns in policyholder data and generate financial projections with a 95% confidence interval accuracy threshold. Collaborate with business stakeholders to define requirements using Domain Analytics and Process Intelligence to map workflow inefficiencies in underwriting operations. Monitor performance KPIs such as claim settlement time and error rates using Python scripts to detect anomalies and trigger alerts in real time. Automate monthly reporting workflows using Python and SQL to generate standardized reports with consistent formatting and timestamped outputs. Support the retraining and validation of AI Models used in risk scoring by cleaning data, handling missing values, and ensuring data integrity across pipelines. Document analytical findings in structured reports with clear visualizations of claim distribution, loss trends, and model performance metrics for stakeholder review. Troubleshoot data discrepancies in policyholder records by validating source systems using SQL queries and cross-referencing with Process Intelligence logs. This role demands direct ownership of analytical outputs, where every Python script, SQL query, and AI Model performance metric is validated against business outcomes and operational KPIs. Required Skills & Technical Competencies The role requires a strong foundation in Python , SQL , and domain-specific analytical techniques such as Actuarial Analytics , Domain Analytics , and Process Intelligence to deliver accurate, actionable insights in insurance risk modeling and process optimization. Technical Skills Python — essential — used for building actuarial risk models, automating data pipelines, and generating statistical outputs such as loss ratio forecasts. SQL — critical — used for querying large-scale policy and claim databases to extract structured data with precise filters and joins. Actuarial Analytics — necessary — applied to interpret risk data in insurance contexts, including calculation of premium rates, loss ratios, and exposure metrics. Domain Analytics — integral — used to analyze business processes such as underwriting and claims handling to identify bottlenecks and improve efficiency. Process Intelligence — central — leveraged to monitor workflow performance, track process deviations, and validate data flow across operational stages. AI Models — central — supported through data preprocessing, model validation, and performance tracking using metrics like AUC and RMSE in actuarial scoring. When showcasing these skills, emphasize specific projects where you used Python to build a risk model or SQL to query a dataset with 100K+ records to derive actuarial insights. Eligibility Criteria This role is designed for candidates with a relevant technical qualification , 1–3 years of hands-on experience, and demonstrated ability to execute data analysis tasks using Python and SQL in real-world projects. Must hold a relevant technical qualification such as a B.Tech in Computer Science, Data Analytics, or Actuarial Science. Eligible batches are 2023 , 2024 , 2025 , and 2026 . Must have 1–3 years of hands-on experience with Python and SQL in data analysis or project work. Academic performance is not specified, but a strong foundation in quantitative analysis is required. Must demonstrate project experience, such as building a claim analysis tool or risk model using Python and SQL . Portfolio must include at least two completed projects with clear data sources, analysis steps, and output metrics. Documentation & Portfolio Requirements Your resume must include a structured portfolio with project titles, data sources, Python or SQL code snippets, and key metrics derived from the analysis, such as loss ratio or claim frequency. For this role, prioritize including a project where you used Python to analyze insurance claim data and built a model to predict claim frequency with a specified accuracy threshold — this directly aligns with Actuarial Analytics and AI Models requirements. Salary for Analyst, Domain Analytics, Actuarial at Genpact 💰 Compensation Not Disclosed The advertised compensation for the Analyst, Domain Analytics, Actuarial role at Genpact is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Analyst, Domain Analytics, Actuarial Upskilling with the right resources significantly enhances your chances of selection for this role by ensuring you meet the required skill set. Recommended Courses & Resources Python — Mastering Python is essential for data analysis and automation tasks in this role. SQL — SQL skills are crucial for managing and querying databases effectively. Actuarial Analytics — This course provides insights into actuarial methods and analytics, vital for the position. KodNest — Enhances your understanding of process intelligence and AI models relevant to the role. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating proficiency in Python or SQL — Provide specific examples of your experience. ❌ Using a generic resume — Tailor it to highlight relevant skills and responsibilities from the job description. ❌ Listing technologies without detailing their application — Clearly explain how you used Python or SQL in past projects. ❌ Ignoring the specified experience requirement — Ensure you meet the 1-3 years of experience criteria. ❌ Adding unrelated skills or unsupported claims — Focus on relevant technologies to avoid disqualification. ❌ Failing to verify the official Apply URL — Always check the job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Analyst, Domain Analytics, Actuarial Optimizing your resume for ATS is crucial for ensuring it passes through initial screenings for this role. ATS Keywords to Include Python SQL Actuarial Analytics Domain Analytics Process Intelligence AI Models Data Analysis Business Stakeholders Performance Monitoring Automation Reporting Troubleshooting Resume Tips for This Role Highlight Python and SQL prominently, as they are critical skills for the role. Emphasize experience with actuarial analytics and domain analytics in previous projects or internships. Showcase a project that involved data analysis using Python or SQL . Use exact keywords from the job description to align with ATS requirements without overstuffing. Avoid including unsupported claims or unrelated technologies that do not align with the job description. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated skills or unsupported claims in your resume for this role. How to Apply for Analyst, Domain Analytics, Actuarial at Genpact Apply Now — Genpact Open the official Apply URL and confirm the job title and company matches the position you're applying for. Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience outlined in the job description. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the date of submission and monitor the official company portal or your registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — Genpact NexisGrow.com does not charge any fees for job applications. Genpact Genpact is a technology company based in Gurgaon, India. It operates with a hybrid work mode and specializes in delivering advanced technology solutions. The Analyst, Domain Analytics, Actuarial role supports innovation in AI and process intelligence within business operations. This role involves using Python , SQL , and AI models to analyze data. Responsibilities include actuarial analytics , domain analytics , and process intelligence , with collaboration between engineers and business stakeholders to solve real-world challenges. The role offers early-career exposure to critical technologies such as Python , SQL , and AI models . It provides hands-on experience in domain analytics and actuarial applications, building foundational skills in data-driven decision making. Company Details Industry Technology Location Gurgaon, India Connect With Us Careers Apply Now Website 🔗 genpact.wd108.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical qualification and 1-3 years of experience from the eligible batches of 2023, 2024, 2025, and 2026 can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Python, SQL, Actuarial Analytics, Domain Analytics, and Process Intelligence are the most important skills for this role. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review Python and SQL fundamentals. 2. Understand actuarial analytics concepts. 3. Prepare examples of past data analysis projects. 4. Familiarize yourself with Genpact's AI initiatives. 5. Practice articulating your problem-solving approach. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer The role is hybrid, allowing for both remote and onsite work in Gurgaon. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to advanced analytics tools and responsibilities, enhancing skills in data analysis and collaboration with business stakeholders. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Python, SQL, and actuarial analytics, along with relevant project experience and technical qualifications. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The work environment involves collaboration with business stakeholders and a focus on analytics-driven decision-making. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, the role requires 1-3 years of experience, making it unsuitable for freshers. 🔗 Explore More on NexisGrow More jobs in Gurgaon Browse all Tech jobs Latest Fresher jobs More jobs at Genpact Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com