Federato is on a mission to defend the right to efficient, equitable insurance for all. We enable insurers to provide affordable coverage to people and organizations facing the issues of today - the climate crisis, cyber-attacks, social inflation, etc. Our vision is understood and well funded by those behind Salesforce, Veeva, Zoom, Box, etc.

Federato’s AI/ML-driven platform leverages deep reinforcement learning to help insurance companies optimize the portfolio of risks they insure, allowing them to continue to provide fair and equitable pricing in difficult-to-price areas. Our category-defining ‘RiskOps’ solution drives better underwriting decisions by operationalizing underutilized data investments and surfacing real-time risk and portfolio insights. We focus on putting insurance underwriters back in the driver’s seat, helping them meet their goals while providing an important service to society.

Responsibilities

• Develop, design, create, modify, and/or test ETL pipelines or systems to support our Machine Learning and Analytics capabilities
• Ensure quality of data through their flow, implement guardrails, health checks and alerts
• Be able to collaborate with customers and understand in depth their data ecosystem to successfully consolidate our data models for predictive modelling
• Develop a strong understanding of relevant data domains, codebase, and/or systems
• Demonstrate proficiency in data engineering, data architecture, programming, and software engineering
• Demonstrate good judgment in selecting methods and techniques for obtaining solutions
• Work independently, use available resources to get unblocked, and complete tasks on schedule by exercising strong judgment and problem solving skills
• Master internal development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity
• Collaborate with Data Science, Product Managers and Software Engineers to build robust ETL pipelines that enable the Product Support team to deliver compelling user-facing features
• Be able to work with customer empathy in ensuring that data processes and flows support their needs

Requirements

• Demonstrated interest in data and machine learning for impact
• University degree in Computer Science, Data Science, Information Systems, Data Mining, Mathematics, Statistics, Physics, Applied Sciences, or a related field
• 2+ years of hands-on industry experience in data engineering
• Familiarity with event backbone and job pool platforms (Kafka, etc)
• Willingness to get hands dirty across a broad variety of internal and client software
• Experience engaging with customers and translating customer needs to valuable features
• 2+ years of experience with Typescript, Python (Django) and have built complex ETL pipelines
• Hands-on experience with SQL database design, data modelling and data mining
• Demonstrated ability to pick up new technologies quickly and learn on the spot
• Experience in design and code reviews

$110,000 - $140,000 a year

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender expression, sexual orientation, age, marital status, veteran status or disability status. We will provide reasonable accommodation to individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at talent@federato.ai 

Here at Federato, your capabilities are important, but culture fit is quintessential. We move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning and the ability to change our minds. Most importantly, we're here to have fun, so sticks-in-the-mud need not apply.