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Allphins

Allphins

www.allphins.com

2 Jobs

27 Employees

About the Company

We understand the challenge reinsurers face: high volumes of fragmented data during renewals that makes it time-consuming to process and interrogate, and harder to underwrite effectively. This is why we created Allphins. Allphins transforms how reinsurers handle exposure data. It processes, standardises, and enriches cedant information, converting raw files into actionable insights. With near real-time scenario analysis across all cedants and a single source of truth, you can make underwriting decisions with confidence. The intuitive interface ensures you don't need to be an exposure management expert to fully benefit from Allphins. Trusted by over 25 global reinsurers, including TransRe, Arch Re, Chaucer and Canopius, Allphins covers all major lines of business: Offshore Energy, Onshore Energy, Credit & Political Risk, Property, Terrorism, Casualty, Cyber, Contingency, and Aviation.

Listed Jobs

Company background Company brand
Company Name
Allphins
Job Title
Junior Data Analyst (H/F)
Job Description
Job Title: Junior Data Analyst Role Summary: Assist the Exposure Management team in delivering accurate, high‑quality data for the Allphins SaaS risk‑management platform. Responsibilities include data enrichment, matching, pipeline automation, algorithm improvement, and database maintenance to support client decision‑making. Expectations: - Build and maintain reproducible data processes in a fast‑growing insurtech environment. - Deliver reliable data feeds to internal stakeholders (Data Science, Product, Project teams). - Continuously improve existing matching algorithms using NLP and API integration. - Collaborate with external vendors and internal teams to keep data standards current. - Demonstrate strong analytical and problem‑solving skills while communicating results clearly. Key Responsibilities: 1. **Data Enrichment & Matching** – Collect, extract and reconcile client data from multiple sources using BigQuery and SQL. Identify unrecognised assets and geospatial attributes in the Energy sector and develop automated re‑conciliation workflows in Python/Apache Airflow. 2. **Algorithm Enhancement** – Test and optimise matching algorithms; evaluate performance, propose adjustments, and prepare models for deployment on the platform. 3. **Database Clean‑up & Management** – Execute data cleansing, deduplication and structuring tasks in SQL (and occasionally Excel) for energy‑sector datasets; coordinate with external providers and Data Science teammates to ensure data reliability and completeness. 4. **Quality & Prioritisation Logic** – Design and automate quality‑control checks and prioritisation rules for ongoing data ingestion and processing. 5. **Cross‑functional Collaboration** – Work closely with Product, Engineering and Data Science to integrate external data sources and refine data workflows. Required Skills: - Proficient in Python (data manipulation, scripting). - Strong SQL skills; experience with BigQuery or similar cloud data warehouses. - Knowledge of Airflow or other workflow orchestration tools. - Familiarity with NLP techniques and API integration for data matching tasks. - Experience in data cleaning, deduplication, and quality‑control processes. - Ability to translate domain requirements into technical solutions. - Effective communication of findings and recommendations to non‑technical stakeholders. Required Education & Certifications: - Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics or related field. - Prior experience or coursework in database management, ETL pipelines, and data analytics. - No specific certifications required, but knowledge of cloud platforms (Google Cloud, AWS) and data‑engineering tools is a plus.
Paris, France
Hybrid
Junior
13-01-2026
Company background Company brand
Company Name
Allphins
Job Title
Software Engineer - Back End (H/F)
Job Description
**Job Title** Software Engineer – Backend (M/F) **Role Summary** Design, develop, and maintain a high‑performance, scalable backend for an insurance technology SaaS platform that empowers insurers to assess risk quickly and accurately. Drive performance improvements, refactor core components, and collaborate cross‑functionally with product, data science, and frontend teams to deliver robust API services and data pipelines. **Expectations** - Deliver high‑quality code on schedule with minimal defects. - Communicate progress and impediments transparently to stakeholders. - Actively participate in code reviews, architecture discussions, and continuous improvement initiatives. - Take ownership of end‑to‑end backend functionality and reliability. **Key Responsibilities** - Optimize backend systems for scalability, latency, and reliability under growing data volumes and user loads. - Refactor critical components to improve performance, maintainability, and long‑term scalability. - Design and implement RESTful APIs, background job workflows, and data pipelines from concept to production. - Identify bottlenecks, reduce redundant computations, and refine processing logic to keep systems fast and efficient. - Enhance observability with advanced instrumentation, logging, metrics, and alerting to support rapid incident response. - Collaborate with product managers, data scientists, and frontend engineers to deliver fully integrated services. - Review and refactor code to reduce technical debt and elevate overall code quality. - Contribute to backend architecture decisions, proposing changes that support future growth and scalability. **Required Skills** - Expertise in Python, Django, and Django Rest Framework. - Strong experience designing and building scalable, high‑throughput software architectures. - Proficiency with distributed systems, performance tuning, and data orchestration. - Working knowledge of Spark, Celery, and Airflow (plus‑point). - Database optimization skills for handling large volumes of data. - Experience with API design, background processing, and data pipeline development. - Familiarity with monitoring, logging, and alerting best practices. - Excellent problem‑solving, communication, and teamwork abilities. **Required Education & Certifications** - Bachelor’s degree (or higher) in Computer Science, Software Engineering, or a related field. - Relevant certifications in Python/Django or distributed systems preferred but not mandatory.
Paris, France
Hybrid
19-02-2026