📋 Job Details at a Glance 📍 Location Noida, India 🏢 Company Genpact 👥 Experience 1-3 years 🎓 Qualification Junior / Associate level. Hands-on with Python, SQL. Relevant technical qualification and demonstrated shipping experience 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL RiskLink RiskModeler RMS AIR Treaties FAC submissions Specialist - Process Analytics - Claims & Underwriting at Genpact — Full Details & How to Apply Genpact is hiring a Specialist - Process Analytics - Claims & Underwriting in Noida, India , with a specific requirement for hands-on experience in Python and SQL to support data validation in claims and underwriting workflows. This role is part of Genpact recruitment for technical positions in process analytics, focusing on data completeness and accuracy in underwriting submissions. This Specialist - Process Analytics - Claims & Underwriting role ensures data completeness and accuracy in submissions from underwriters, directly impacting claims processing and underwriting decisions. Responsibilities include data scrubbing and updating accounts in RiskLink and RiskModeler , which are essential for maintaining accurate risk records and supporting underwriting operations. The role relies on technical tools such as Python , SQL , and RMS , which are used to validate and process data inputs. Genpact recruitment includes this position as a junior-level technical role within its technology operations. The role is based in Noida, India and operates under a hybrid work mode. Candidates must have a junior or associate-level qualification and demonstrated hands-on experience with Python , SQL , and tools like RiskLink , RiskModeler , and FAC submissions . 2024, 2025, 2026 graduates should apply. Eligible candidates must have Junior / Associate level. Hands-on with Python, SQL. Relevant technical qualification and demonstrated shipping experience and at least 1-3 years of experience . The salary for this position is Not Disclosed . Candidates will gain hands-on experience with Python , SQL , RiskLink , RiskModeler , RMS , AIR , and Treaties . This role builds technical proficiency in process analytics and strengthens foundational skills in claims and underwriting data management, offering a clear path toward progression into higher-level analytics or risk management roles. 📊 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. Specialist - Process Analytics - Claims & Underwriting jobs | Genpact recruitment | apply online | Noida, India jobs Job Role & Responsibilities The Specialist - Process Analytics - Claims & Underwriting at Genpact ensures accurate data flow from underwriters to risk models by validating submissions and transforming client data into standardized formats used in RMS , AIR , and RiskLink . This role directly impacts the integrity of exposure summaries and underwriting decisions through structured, automated data processing. Review submissions for completeness of data in Excel files, verifying that all required fields are present and aligned with RiskModeler input specifications. Convert client-provided data from Excel to RMS and AIR formats using Python scripts that parse structured fields and map them to model-specific schemas. Collaborate with underwriters to validate data submission against FAC submission templates and ensure compliance with Treaties documentation rules. Scrub portfolio exposure summaries using SQL queries to detect outliers, missing values, and inconsistencies in exposure data for risk assessment. Update accounts in RiskLink and RiskModeler with accurate policy terms and conditions, ensuring consistency with underwriting decisions and claims history. Document process improvements in data transformation workflows, including error logs, validation rules, and Python script performance metrics. Troubleshoot data discrepancies by running SQL diagnostic queries and comparing outputs between Excel inputs and AIR model inputs. Validate that all claims data is properly linked to underwriting records in RiskModeler to ensure accurate exposure tracking and risk modeling. This role requires direct ownership of data validation pipelines, where every Python script, SQL query, and RiskLink update decision impacts the accuracy of risk assessments and underwriting outcomes. Required Skills & Technical Competencies Candidates must possess hands-on technical proficiency in data processing and risk modeling tools, with a focus on Python , SQL , and RiskLink , RiskModeler , and AIR to perform data transformation and validation tasks at scale. Technical Skills Python — entry — used for automating data conversion from Excel to RMS and AIR formats, including parsing, mapping, and error handling in scripts. SQL — entry — used to query and validate database records in claims and underwriting systems, detecting missing or inconsistent data in exposure summaries. RiskLink — intermediate — used to update account records with policy terms and conditions, ensuring alignment with underwriting decisions and claims history. RiskModeler — intermediate — used to apply risk terms and validate portfolio exposure data prior to model input and risk assessment. AIR — intermediate — used to validate data submissions and ensure compliance with FAC and Treaties formatting requirements. Treaties — entry — used to interpret and apply treaty-level data structures during submission validation and data mapping. FAC submissions — entry — used to validate data against standardized FAC templates and ensure completeness of submission fields. When showcasing these skills, emphasize specific Python scripts, SQL queries, and RiskModeler workflows you’ve built or executed in academic or internship projects. Eligibility Criteria This role is designed for junior and associate level candidates with a technical qualification and hands-on experience in Python and SQL , particularly in data transformation and validation tasks. Must hold a relevant technical qualification at the junior or associate level, such as a B.Tech in Computer Science or a diploma in Data Analytics. Eligible batches are 2024 , 2025 , and 2026 only. Minimum of 1 year of hands-on experience with Python or SQL in data processing or automation projects. Academic performance is not specified, but a CGPA of 6.0 or above is expected for technical competency demonstration. Must have completed at least one project or internship involving data transformation from Excel to structured formats like RMS or AIR . Must demonstrate practical experience with FAC or Treaties data submission workflows in academic or real-world settings. Documentation & Portfolio Requirements Your resume must include a clear section on technical projects, listing each project with the tool used, data source , and output format (e.g., “Converted Excel data to RMS format using Python ”). For this role, prioritize including a project where you used Python and SQL to transform data from Excel into a structured format used in RiskModeler or AIR , with clear metrics on data completeness or error reduction. Salary for Specialist - Process Analytics - Claims & Underwriting at Genpact 💰 Compensation Not Disclosed The advertised compensation for the Specialist - Process Analytics - Claims & Underwriting 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 Specialist - Process Analytics - Claims & Underwriting Upskilling with the right resources significantly enhances your chances of selection for this specialized role. Recommended Courses & Resources Python — Essential for data manipulation and analytics tasks in this role. SQL — Crucial for managing and querying databases effectively. FAC submissions — Important for understanding the submission process in claims and underwriting. KodNest — Helps in mastering backend engineering concepts 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 experience in Python — ensure to include relevant projects. ❌ Using a generic resume — tailor it to the specific responsibilities listed in the job description. ❌ Listing technologies like RiskLink without details — provide context on where they were applied. ❌ Ignoring the specified experience requirement — this role is not designed for freshers. ❌ Adding unrelated technologies or unsupported claims — this may backfire with ATS. ❌ Failing to verify the official Apply URL — always check job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the 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 Specialist - Process Analytics - Claims & Underwriting Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Python SQL RiskLink RiskModeler Claims Underwriting Data Scrubbing Technical Communication FAC submissions Treaties Backend Engineering COPE Information Resume Tips for This Role Highlight your proficiency in Python , as it is a key requirement for this role. Emphasize experience with SQL and data management, as these skills are critical for the responsibilities outlined. Include a project that involved data conversion or risk modeling to showcase relevant experience. Use exact keywords from the job description naturally to align with ATS requirements. Avoid adding unsupported claims or technologies that you cannot substantiate with experience. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated technologies or unsupported claims in your resume for this role. How to Apply for Specialist - Process Analytics - Claims & Underwriting at Genpact Apply Now — Genpact Open the official Apply URL and confirm the job title and company match 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 application date 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 Noida, India. This role operates in a hybrid work mode and supports claims and underwriting processes within the technology industry. The team focuses on process analytics to ensure data accuracy and compliance across key workflows. The team works on data validation, submission review, and converting client data into standardized formats. Responsibilities include coding COPE information, managing treaty details, and validating portfolio exposure using tools like RiskLink , RiskModeler , RMS , and AIR . This role provides early-career exposure to core analytics tools and responsibilities in claims and underwriting. Hands-on experience with Python , SQL , and industry-specific systems builds foundational skills in process analytics and data integrity. Company Details Industry Technology Location Noida, 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 at the Junior/Associate level and 1-3 years of experience can apply. Eligible batches are 2024, 2025, and 2026. ? What technical skills are most important for this role? Skills Tap to expand + Answer Key skills include Python, SQL, RiskLink, and RiskModeler, which are essential for data handling and risk assessment. ? 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 in the job data. ? 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. Familiarize yourself with RiskLink and RiskModeler. 3. Prepare examples of data scrubbing and submission reviews. 4. Understand the claims and underwriting processes. 5. Practice technical communication skills. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer The work mode is hybrid, allowing for a mix of remote and onsite work in Noida. ? What career exposure can this role provide? Growth Tap to expand + Answer This role offers exposure to critical tools like Python and SQL, as well as responsibilities in data management and risk assessment. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Python, SQL, and experience with RiskLink and RiskModeler, along with relevant responsibilities in data handling. ? 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 role involves collaboration with underwriters and technical teams to ensure data integrity and compliance. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, the experience requirement is 1-3 years, indicating that freshers may not be accepted. 🔗 Explore More on NexisGrow More jobs in Noida 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