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P&C Pricing Modeler - Personal Lines (GLM & ML)

Techila Global Services -
Delhi

Apply Now

Job details

Full-time
10 days ago

Qualifications

Pricing
Economics
SAS
Salesforce
Engineering
R
M.Eng
Master's degree
SQL
Bachelor's degree
Machine learning
Data science
Communication skills
Python
Time management
Analytics

Full job description

Hybrid Delhi 6–10 yrs Apply by Sep 17, 2026

P&C Pricing Modeler - Personal Lines (GLM & ML)

Join Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.

Experience

6–10 yrs

Employment Type

Full-time

Openings

1 position

Apply By

Sep 17, 2026

Required Skills

Job Description

Location is Gurugram, and we follow Hybrid mode. Skills-Insurance + keywords like GLM/XGBoost and python would fit for this role.

Role & Responsibilities:

• Develop, refine, and maintain pricing and risk models for P&C insurance products using both Generalized Linear Models (GLMs) and machine learning techniques, with a focus on personal lines auto and homeowners. • Build end-to-end modeling pipelines covering data preparation, feature engineering, variable selection, model fitting, validation, and performance monitoring on large policy and claims datasets. • Apply machine learning methods such as GBMs (XGBoost/LightGBM), random forests, and penalized regression alongside traditional GLMs, and blend or benchmark approaches to improve lift, stability, and interpretability. • Collaborate with the Pricing and Actuarial teams to translate model outputs into rating plans, pricing strategies, and rate indications for admitted business. • Support rate reviews and regulatory filings by producing model documentation, exhibits, and defensible explanations of model structure and variable effects. • Conduct competitive analysis and market research to keep pricing models aligned with market trends, loss cost developments, and regulatory changes. • Design and enhance pricing tools, model deployment workflows, and analytical assets to streamline and automate pricing processes. • Continuously monitor model performance in production, diagnose degradation or dislocation issues, and recommend recalibration or redevelopment where needed. • Present modeling findings and recommendations to management, underwriters, product managers, and client stakeholders in a clear, business-oriented manner. • Mentor and review the work of junior analysts, and contribute to best practices in modeling standards, documentation, and governance.

Candidate Profile: • Bachelor's/Master's degree in engineering, economics, mathematics, actuarial science, statistics, data science, or a related quantitative field. (Required) • 3-10 years of pricing/modeling experience in the P&C insurance industry, with hands-on model development ownership. (Required) • Strong experience building GLMs for pricing or risk segmentation (frequency/severity, pure premium, loss ratio models). (Required) • Proven experience applying machine learning techniques such as GBMs (XGBoost/LightGBM), random forests, or regularized regression to insurance pricing or related problems. (Required) • Experience in personal lines, particularly auto and/or homeowners pricing. (Strongly preferred) • Proficiency in Python and/or R for statistical modeling and machine learning, along with strong SQL skills for data extraction and manipulation. (Required) • Working knowledge of pricing platforms and tools such as Emblem, Radar, SAS, or equivalent. (Preferred) • Understanding of admitted business, rate filings, and the regulatory considerations that shape model design and documentation in the U.S. market. (Preferred) • Affiliation to IAI or IFoA with progress on actuarial exams will be an added advantage. • Excellent analytical and problem-solving skills, with the ability to work with large, messy datasets and make data-driven decisions. • Strong communication skills, including the ability to explain complex GLM and ML concepts to both technical and non-technical stakeholders. • Ability to work independently and collaboratively in a team-oriented, client-facing environment. • Detail-oriented with strong organizational and time management skills, and able to adapt to changing priorities in a fast-paced environment.

What we offer: • EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants. • You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth • Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques. • We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors. • Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.

Budget – we can discuss as per the candidate’s experience and exams.

At a Glance

Work ModeHybrid

EmploymentFull-time

Experience6–10 yrs

Openings1

LocationDelhi

DeadlineSep 17, 2026

[ Hiring process ]

What to expect

Four stages, typically completed within 2–3 weeks. We respect your time — every stage has a clear purpose and timely feedback.

STEP 0130 min
Screening Call

Introductory conversation with our talent team to understand your background and motivations.

STEP 0260–90 min
Technical Round

Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.

STEP 0345 min
Culture Fit

Conversation with practice leadership covering working style, ownership, and how you collaborate.

STEP 04Within 5 days
Offer

Formal offer with full compensation breakdown, start date, and onboarding plan.

Apply Now

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Technical Round

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