
Job Overview
Location
Remote US
Job Type
Full-time
Category
Data Science
Date Posted
April 2, 2026
Full Job Description
đź“‹ Description
- • The Lead Portfolio Analyst is a senior analytical leader responsible for driving portfolio-level insight, underwriting discipline, and data-driven decision-making across the organization. This role oversees the design, execution, and governance of analytical frameworks that inform risk selection, pricing adequacy, capital allocation, and portfolio optimization, with direct managerial responsibility for Portfolio Analysts, providing technical mentorship, workflow oversight, and professional development.
- • The ideal candidate blends deep actuarial and data science expertise with strong business judgment, the ability to translate complex modeling into actionable underwriting guidance, and a track record of building scalable analytical infrastructure.
- • Lead the development and enhancement of portfolio-level risk scoring, segmentation, and performance monitoring frameworks that guide underwriting strategy and appetite.
- • Translate model outputs into clear, actionable underwriting guidelines that improve loss ratio performance and strengthen risk selection discipline.
- • Partner with underwriting leadership to evaluate emerging trends, concentration risks, and growth opportunities across lines of business.
- • Oversee scenario testing, stress modeling, and capital impact analyses to support strategic planning and risk appetite decisions.
- • Architect and maintain stochastic simulation frameworks for frequency-severity modeling, uncertainty quantification, and reserve/capital adequacy assessments.
- • Implement robust model governance processes, including drift detection, performance monitoring, interpretability reporting, and documentation standards.
- • Collaborate with data engineering and MLOps teams to ensure analytical models are scalable, reproducible, and integrated into production environments.
- • Drive the build-out of automated analytical pipelines, dashboards, and reproducible workflows that support underwriting, reserving, and portfolio management.
- • Partner with engineering teams to optimize compute efficiency, data accessibility, and model deployment—leveraging cloud, containerization, and modern data stack tools.
- • Ensure data quality, lineage, and consistency across underwriting and actuarial datasets.
- • Manage, mentor, and develop Portfolio Analysts, providing technical guidance, performance feedback, and structured growth opportunities.
- • Prioritize and allocate analytical work across the team, ensuring timely delivery of high-quality insights to underwriting, actuarial, and executive stakeholders.
- • Foster a culture of analytical rigor, curiosity, and continuous improvement.
- • Work closely with underwriting, actuarial, claims, finance, and product teams to align analytical outputs with business needs.
- • Communicate complex quantitative concepts to non-technical audiences, enabling informed decision-making at all levels of the organization.
- • Support regulatory, audit, and governance processes with clear documentation and defensible analytical methodologies.
🎯 Requirements
- • FCAS or equivalent actuarial designation required; CSPA or advanced analytics certification preferred.
- • Master’s degree in Analytics, Data Science, Applied Mathematics, or related quantitative field.
- • 8+ years of actuarial, data science, or portfolio analytics experience within insurance or insurtech environments.
- • Proficiency in R, Python, SQL, Snowflake, and modern data engineering/analytics tooling (git, Docker, Kubernetes, dbt, AWS).
- • Expertise in Monte Carlo simulation, stochastic modeling, predictive modeling, and machine learning techniques.
- • Experience building and maintaining analytical platforms, automated pipelines, and production-grade model environments.
🏖️ Benefits
- • Opportunity to lead and mentor a team of Portfolio Analysts in a remote-first environment with significant impact on organizational risk strategy.
- • Access to cutting-edge cloud, containerization, and modern data stack tools to build scalable analytical infrastructure.
- • Collaborative cross-functional environment with underwriting, actuarial, claims, finance, and product teams to drive data-informed decisions.
- • Professional development support for maintaining actuarial credentials and advancing expertise in analytics and modeling.
- • Clear pathways to influence capital allocation, pricing adequacy, and portfolio optimization at a strategic level.
Skills & Technologies
About Baldwin Technology Company Inc.
Baldwin Technology Company designs and manufactures process-automation equipment and consumables for the printing, packaging, textile and film industries. Products include spray dampening, cleaning, drying, web handling and fluid-management systems that improve quality, reduce waste, cut energy use and boost productivity on flexo, offset and digital presses. Headquartered in Old Lyme, Connecticut, the company operates across the Americas, Europe and Asia, serving commercial, newspaper and packaging printers with engineered solutions and aftermarket support since its founding in 1918.
Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.
Newsletter
Weekly remote jobs and featured talent.
No spam. Only curated remote roles and product updates. You can unsubscribe anytime.
Similar Opportunities

Cohere Inc.
27 days ago

