Senior Associate Quant Analytics
About The Position
Are you passionate about transforming data into actionable insights? We’re looking for a Sr Quant Analyst to join our dynamic Home Lending Data & Analytics team, supporting Home Lending Relationship Value. In this high-impact role, you’ll collaborate with business partners, leverage cutting-edge analytics tools, and help shape the future of home lending. As a Senior Quant Analytics Associate within the Home Lending Data and Analytics team, you will work on creating sustainable solutions and strategic analytics. You will be a strong communicator who is eager to learn and laser focused on adding value. Additionally, it would be ideal if you have an in- depth understanding of the mortgage industry.
Requirements
- Bachelor's degree in a quantitative or related field
- 3+ years of data and analytics experience using SQL
- Must have the ability to deliver high-quality results under tight deadlines
- Strong understanding of SQL and an ability identify data quality issues
- Experience working with SSMS, Hadoop, Teradata, Oracle, MS DBs and Snowflake
- Experience with reporting technologies like Tableau, SSRS, Alteryx, Toad, SQL Developer, and Power BI
- Aptitude for learning new theory and new technology
- Advising business and technology partners on data-driven opportunities to increase efficiency and improve customer experience
- Proactively interfacing with, and gathering information from, other areas of the business (Operations, Technology, Finance, Marketing)
- Critical thinker that will thrive in a fast-paced, competitive environment and will mesh well with a team that prides itself on attention to detail and results
Nice To Haves
- Functional industry experience in operations, marketing, credit/risk, technology, or finance
- Mortgage experience preferred
- Master’s Degree in Analytics (or similar concentration)
Responsibilities
- Work closely with business partners to understand existing processes and challenges
- Provide insightful analytics for process improvement
- Translate business needs into data solutions for long-term objectives
- Evaluate data sources for data quality and discrepancies
- Perform data discovery work to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources to help develop various types of data-driven Home Lending products/initiatives.
- Build processes to make joining datasets without unique keys possible
- Use advanced data discovery and data mining tools to reveal relationships and trends in the data that provide new insights into behaviors
- Provide actionable data in a digestible format to key stakeholders using Business Intelligence Dashboards for both recurring and ad hoc reporting
- Think critically about headwinds facing the business and explore opportunities for analytics
- Collaborate with team members to build out specific projects and to continuously teach and learn new technology and techniques
- Work independently with minimal supervision but high accountability
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
