About Assurance
Assurance IQ is a technology company headquartered in Seattle. We were acquired by Prudential (NYSE: PRU) to further the joint mission of improving financial wellness across the world. Our team of world class software engineers, data scientists, and business professionals work every day to expand our product offerings and the reach of our platform. We simplify the complex world of insurance and financial services into straightforward, valuable solutions to improve people’s lives. We start by asking customers a few questions, so our system can learn about their needs; from there, our ground-breaking, proprietary platform takes over and analyzes the thousands of data points that make customers unique. This is how we create custom-tailored plans for each customer; plans built precisely for their needs and budget. Our platform serves as the intersection between customer and seller, technology, and the human touch. At Assurance, we are innovative, persevering, collaborative, calculated, and authentic, and we’re working together to improve the lives of millions!
About the Position
As we build the future of consumer insurance in a modern age, data is at the core of everything that we do. The role requires team members who are adept at building software tools to move and organize data with an approach that is rooted in improving the insights and efficiency of the business. Our team uses a variety of data mining and analysis methods, a variety of data tools, builds and implements models, develops algorithms, and creates simulations. Our Data Engineers design and build the backbone that makes this development possible with no support from engineering (we own our stack end to end). At Assurance, we hire experts in their field, and we give them the independence and trust to build based on their expertise.
To be successful in this role, you must possess the following:
-
Expertise in modeling data
-
Experience with Spark, Hadoop/EMR, SQL
-
Ability to optimize data access for speed/reliability/velocity as needed by the business
-
Comfort with QA’ing your own data, including ‘menial tasks’ like listening to calls or scrubbing excel files to ensure everything is correct
-
Comfort with learning new technologies to help the team explore new solutions to existing problems
-
Excellent communication ability – you can explain your work in a way that anyone on the team can understand, and you can frame problems in a way that ensures the right question is being asked.
-
Business acumen – you are always eager to understand how the business works, and more specifically, how your work impacts the business.
-
Enthusiastic yet humble – you are excited about the work you do, but you are also humble enough to embrace feedback – you don’t need to be the smartest person in the room.
The following additional experience is desired:
-
Capable of modifying an existing job to add a new field and getting it into production within a day.
-
Capable of creating a new data pipeline/job within 2-3 days.
You have a proven ability to drive business results by building the right infrastructure that enables data-based insights. You are comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for enabling the discovery of solutions hidden in large data sets and working with stakeholders to improve business outcomes. We’re growing at a rapid pace, so it’s important that you embrace the opportunity to blaze your own trail. You thrive in a fast-paced environment where priorities can shift rapidly as we corner opportunity. You can work independently, with little oversight or guidance. At Assurance, we hire experts in their field, and we give them the independence and trust to build based on their expertise. If this sounds like a good fit for you, give us a shout, we’d love to chat!
About Assurance
About Assurance
Assurance offers the best online insurance shopping experience; within minutes a customer can have instantly approved life, health, auto, or home coverage. We’ve simplified the online checkout process so that customers can get covered instantly online, and we’ve also built an on-demand workforce of licensed insurance agents that can speak with customers who want to talk to an expert, 24x7. Powering all of this is a cloud-first, event-driven, service-oriented-architecture, using the latest software frameworks. We combine our web technology with data science models at every step to make intelligent decisions about how we market to customers, what policies we recommend, and which agents we match to customers. Our mission is to make insurance easier, cheaper, and higher quality, for everyone – not just the affluent. Our team is humble, driven, and committed to improving the lives of millions. We’ve pioneered many new technologies and are proud of many world-first technical achievements. We are the only company to pay commissions to on-demand workers with a real-time payment solution, so money earned is deposited into their bank accounts instantly, every day of the year; and to pay dynamic bonus rewards generated in real-time by machine learning models during phone sales calls. We developed a voice signature technology to enable customers to conveniently sign for their insurance policy over the phone. We built a completely serverless telephony platform that uses dozens of machine learning models to automatically optimize how we place phone calls to customers and connect them with sales agents on the platform.
In September 2019, Assurance was acquired by Prudential (NYSE:PRU; $36B market cap) to further the joint mission of improving financial wellness across the world. We are at the forefront of this exciting mission and are looking for experienced software engineers who are excited about the chance to rethink the insurance industry from the ground up in a technology-first manner.
Our Offices
We have 3 engineering offices worldwide in Seattle (headquarters), Toronto and Kathmandu. Each office has many teams of engineers; each team owns a set of software applications and business functionality. We work collaboratively across time zones and geographies, using Slack, Zoom, Github, and email. Engineers in remote offices will typically visit headquarters once or twice per year.
