Model: manuelcaccone/modernbert-actuarial-skills-multilabel
Author: manuelcaccone
Pipeline: text-classification
Library: transformers
Tags: transformers, safetensors, modernbert, text-classification, actuarial, insurance, multilabel-classification, sentence-classification, skills-extraction, career-planning, job-analysis, en, dataset:actuarial-jobs-7k, base_model:answerdotai/ModernBERT-base, base_model:finetune:answerdotai/ModernBERT-base, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: answerdotai/ModernBERT-base
Card metadata: library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags: actuarial, insurance, multilabel-classification, sentence-classification, skills-extraction, career-planning, modernbert, job-analysis
datasets: actuarial-jobs-7k
language: en
metrics: f1, precision, recall
model-index: name: modernbert-actuarial-skills-classifier
results: task: type: text-classification
name: Multi-Label Text Classification
metrics: type: f1_micro
value: 0.6728
name: F1 Micro
verified: no, type: f1_macro
value: 0.106
name: F1 Macro
verified: no, type: precision_micro
value: 0.7915
name: Precision Micro
verified: no, type: recall_micro
value: 0.585
name: Recall Micro
verified: no
widget: text: I am looking for an entry-level actuarial position in life insurance pricing where I can apply my knowledge of mortality tables and statistical analysis. I have strong Python programming skills and experience with GLM models from my university projects. I am particularly interested in learning more about IFRS 17 implementation and would like to work with modern actuarial software like Prophet or MoSes.
example_title: Life Insurance Entry Level, text: I have three years of experience as a reserving actuary in property and casualty insurance, working primarily with workers compensation and general liability lines. I am proficient in R and SQL for data analysis and have built several predictive models using machine learning techniques. I am now seeking a senior analyst role where I can lead pricing projects and mentor junior actuaries, with a target salary range of at least 85000 dollars annually.
example_title: P&C Career Growth, text: After completing my actuarial exams up to ASA level, I want to transition into a health insurance role focusing on medical cost trend analysis and risk adjustment. I enjoy working with large datasets and have self-taught Python and SAS for healthcare analytics. My ideal position would involve building pricing models for group health products and I am hoping to find opportunities that offer around 70000 dollars per year as I build my specialization in this area.
example_title: Health Insurance Transition, text: I am a recent mathematics graduate passionate about pension actuarial work and retirement planning. I have limited professional experience but completed internships where I learned about defined benefit schemes, asset liability management, and regulatory compliance under Solvency II. I am eager to develop my Excel and VBA skills further and would consider positions starting at 40000 dollars minimum while I continue studying for my actuarial fellowship exams.
example_title: Pensions Graduate Role, text: As a data scientist looking to move into the actuarial field, I bring extensive experience with machine learning frameworks like TensorFlow and PyTorch, as well as strong programming abilities in Python and Scala. I am particularly interested in applying deep learning techniques to mortality forecasting and longevity risk modeling in life insurance. I am seeking roles that value innovation in actuarial modeling and offer competitive compensation of at least 95000 dollars given my technical background.
example_title: Data Science to Actuarial
inference: parameters: threshold: 0.5
top_k: 15
Likes: 0 | All-time downloads: 49
Created: 2025-10-01 16:40:09