Senior Cyber Security Engineer

Boston, Massachusetts, United States

Applications have closed
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Corvus

Corvus empowers brokers to predict and prevent complex risks. We offer Smart Commercial Insurance policies paired with data-driven risk management tools.

We’re united by a mission: to make the world a safer place. Corvus Insurance uses novel data and artificial intelligence/machine learning to achieve better insights into commercial insurance risk. Our software empowers brokers and policyholders to better predict and prevent complex claims through data-driven tools and Smart Commercial Insurance® policies. This allows us to reduce or eliminate the impact of adverse events, creating a safer world for everyone. Drawing inspiration from the intelligent, tool-building corvid family of birds, we are a team of high-flying collaborative builders. We’re excited to meet you. Spread your wings, and soar with us.

Corvus is reimagining commercial insurance at the convergence of three of the hottest areas in technology: data science, cyber security and machine learning. Data Scientists at Corvus are a key component of our mission to find and use alternative sources of data that can help our clients mitigate risk and make the world a safer place.  

We’re looking for a full-stack data scientist who isn’t intimidated by the prospect of working with large, messy data sets. You’ll play a critical role in defining how data science can solve business problems, and will be responsible for the full data science life cycle, including defining the problem, prototyping data pipelines and building and implementing data science and machine learning products into client facing systems. This is a new and highly visible role in which you’ll work closely with Product Managers, Software Engineers and Underwriters to expand the reach and impact of our data products. 

Responsibilities

  • Apply quantitative methods to solve complex data problems involving cyber risk modeling, emerging risk detection, among others
  • Build insurance loss models to help underwriters make coverage and pricing decision
  • Translate product ideas into data science problems, and solve them
  • Prototype tools and data pipelines to extract meaningful insight from innovative sources of data
  • Clearly communicate analysis and train stakeholders to use our data products
  • Work close with engineers to deploy and monitor Data Science Products
  • Teach and mentor other Corvids to further our data driven culture

Qualifications

  • 6+ years of experience as a Data Scientist
  • ACAS or FCAS preferred
  • Deep expertise in machine learning and statistical modeling
  • Proven track record of rapid prototyping and development leveraging open source frameworks
  • Experience with Python, R or other similar scripting languages

Our Commitment

Corvus provides a seriously safe nest for people who come from all paths. Our flock represents a variety of backgrounds, perspectives, and skills. Although confidence can sometimes hold us back from applying for a job, we believe there's no such thing as a 'perfect' candidate.  Corvus is a place where everyone can soar. So however you identify and whatever background you bring, please apply if this is a role that would make you excited to come into work every day.  And please check out what it's like to be a Corvid and our amazing benefits: https://www.corvusinsurance.com/life-at-corvus 

Corvus is committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or an accommodation with our hiring process due to a disability, contact us at careers@corvusinsurance.com. 

Disclaimer: Bird puns are highly encouraged!

* Salary range is an estimate based on our salary survey 💰

Tags: Artificial Intelligence Full stack Machine Learning Open Source Prototyping Python Scripting SOAR

Perks/benefits: Career development Insurance Team events

Region: North America
Country: United States
Job stats:  7  0  0

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