The Financial technology space "Fintech" is booming and Guaranteed Rate is at the center of it. We are growing like crazy, and are one of the most successful Chicago startups. We are focused on automating the mortgage process for consumers. Imagine getting a mortgage with no email, no faxing, no stack of papers in 10 days or less instead of 40 or more! If you have been through the process of buying a home you know how amazing this will be. We are the #8 lender in the country and one of only 2 that is independent (not a bank) so we are in a good spot to win this race. We have already made tremendous strides and we are looking for someone who wants to help us finish the job and disrupt the entire industry.
Who is GR?
Guaranteed Rate is not your typical company and certainly not your typical mortgage company. We are technology driven, have tons of energy and we love what we do – great people and great products alongside our impeccable customer service (83 NPS, unheard of!). We're in a River North office with exposed brick and duct work, windows we can actually open during the summer. The awesomeness doesn't end there, we also have:
- Holiday parties? We got'em! Not just major holidays, any holiday….Mardi Gras, Valentine's Day, St. Paddy's Day, Opening Day, Boxing Day (for our Canadian employee), Sweetest Day, Groundhog Day, etc..
- Game room, library and white board paint for collaboration – yeah, it's awesome.
- Access to our free GR nurse practitioner. Psshh who needs a doctor's appointment when our nurse can do it all? Did we mention the free part?
- 401k with some matching, Blue Cross health care coverage – yup, dental and vision too, short-term disability, life insurance – we got ya covered on this one, legal assistance – for a small monthly fee.
- Oh and did we mention you get a big fat employee discount on the origination fees to get a new mortgage or refinance thru Guaranteed Rate?
So what do we want from you?
We're searching for highly collaborative and innovative analysts to build and scale our big data and ML platform. If you are passionate about using data to solve problems and build game changing products, we'd love to work with you.
Working within a dynamic and fast paced team environment, the Senior Engineer is responsible for the design of mission-critical, highly visible big data and machine learning applications in direct support of business objectives. Furthermore, this person is responsible for working with other engineers to develop the technical design by fully understanding the technical details, integration, and functions of multiple applications across their development team. The ideal candidate should have good mentoring and cross-functional skills.
- Work with partners to build a complete understanding of existing and new data attributes
- Profile and analyze data to identify opportunities to improve and put to use our data assets
- Work closely with technical and non-technical teams to identify ways to leverage data assets to run and grow our business
- Work within and across teams to translate high-level analytics requirements into executable development projects including project stories, acceptance criteria and test cases
- Team up with other analysts to quickly respond to query requests from internal and external stakeholders
- Own quality control of inbound and outbound data assets
- Work with internal teams to identify and resolve risks to data quality and integrity
- Become an expert in our data infrastructure and serve as an internal resource as other teams integrate with our solutions
- Map values from various datasets in an overarching effort to merge disjoint data
- Champion values of ownership, innovation and continuous improvement with all stakeholders
- 5+ years experience producing data models used by medium to large-scale OLTP or analytic applications
- 5+ years experience using SQL to aggregate and extract data across multi-table relational database schemas
- 5+ years experience programming in Python or similar language
- Practical experience translating data into practical insights and recommendations
- Prior experience with visualizing data (eg, Tableau, PowerBI or similar)
- Excellent written and verbal communication skills
- Heightened attention to detail
- Experience working with complex datasets
Bonus Points If You
- Experience working with financial data
- Experience working in AWS, especially with Redshift, Athena, and AWS Glue
- Experience working with an ETL tool such as Informatica or MS SSIS
- Experience presenting results of analysis of various levels of data/technical competence
- Experience with presenting and advocating for a technical solutions roadmap
- Experience with analytic libraries in Python (eg, Numpy, Pandas)
- Experience with or practical exposure to machine learning development processes