Senior Associate Quant Analytics

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.

Job 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

Required qualifications, capabilities, and skills
:

• 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

Preferred qualifications, capabilities, and skills:

• Functional industry experience in operations, marketing, credit/risk, technology, or finance
• Mortgage experience preferred
• Master’s Degree in Analytics (or similar concentration)