Senior Python Specialist, Insurance Pricing, Hyperexponential

Job not on LinkedIn

🕒 April 29

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 41%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Exavalu

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

Exavalu is a business advisory and technology consulting firm that partners with enterprises to deliver high-impact digital transformation. Run by former CIOs, CXOs, and consulting principals, Exavalu offers strategic advisory, core systems transformation, systems integration, data & analytics, innovation and privacy/compliance solutions across regulated sectors. The firm focuses on Insurance, Banking & Financial Services, and Healthcare & Life Sciences, providing industry-tailored technology implementations and program leadership using partners like Guidewire, Salesforce, MuleSoft, PegaSystems and AWS.

📋 Description

• Develop, enhance, and operationalize insurance pricing and exposure models using Python and Hyperexponential (hx) platforms • Build Python-based data pipelines and analytical workflows for large-scale policy, exposure, claims, and rating datasets • Perform exposure analysis, loss cost modeling, and segmentation across Personal and/or Commercial Lines • Support model calibration, validation, back-testing, and monitoring • Translate actuarial and underwriting requirements into scalable Python-driven analytical solutions integrated with hx models • Collaborate with actuarial, underwriting, and data engineering teams on pricing strategy evaluations and rate change impact analysis • Integrate pricing outputs into rating engines, policy administration platforms, and reporting tools • Create technical documentation and explain model drivers, assumptions, and outcomes to business and regulatory stakeholders

🎯 Requirements

• Strong hands-on Python expertise for data analysis, pricing workflows, and automation • Proficiency with NumPy, Pandas, SciPy, and scikit-learn • Proven experience with insurance pricing and exposure modeling, including frequency/severity, loss cost development, and segmentation • Hands-on experience with Hyperexponential (hx) platforms, including hx Pricing, hx Renew, model configuration, or APIs • Advanced SQL skills for querying and validating large policy, exposure, and claims datasets • Solid understanding of P&C insurance pricing fundamentals, including exposure measures, rating variables and relativities, loss ratios and portfolio performance, and underwriting and pricing governance • Experience working with pricing, actuarial, or underwriting teams in production environments • Experience working with large-scale insurance data platforms on Azure or AWS • Familiarity with data pipelines, versioned datasets, and reproducible analytical workflows • Ability to visualize and communicate insights using Python-based or BI visualization tools

🏖️ Benefits

• Diverse and inclusive workforce • Career growth opportunities • Opportunity to make an impact • Inclusive culture that embraces all individuals and promotes diverse perspectives