As an Sr. Associate Quant Analytics in the home lending data and analytics team, you will work in a complex data environment as well as partner with the business to find creative solutions to business problems and provide actionable information to business leaders.

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 Mortgage Servicing. 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 in support of Mortgage Servicing, you will work on a mix of strategy, business analysis and data science skills with a focus on design, build and implementation of reports and digital dashboards. You will be a strong communicator who is eager to learn, endlessly. Additionally, it would be ideal if you have an in- depth understanding of the mortgage industry.

Job Responsibilities:

• Work closely with business partners to gather reporting requirements
• Provide data in a digestible format to key stakeholders using Business Intelligence Dashboards for both recurring and ad hoc reporting
• Use advanced data discovery and data mining tools to reveal relationships and trends in the data that provide new insights into behaviors
• Translate business needs into data solutions for long-term objectives
• Partner with the business to provide insightful analytics for process improvement
• 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
• Think critically about headwinds facing the business and explore opportunities for analytics
• Evaluate data sources for data quality and discrepancies
• Collaborate with team members, both to build out specific projects and to continuously teach and learn new technology and techniques
• Work independently with minimal supervision but high accountability
• Bachelor’s degree in a quantitative or related field
• 3+ years of data and analytics experience using SQL, or a Master’s in Analytics (or similar)
• Strong SQL skills and experience with data quality assessment
• Proficiency with Oracle, MS DBs, and Snowflake
• Experience with reporting and analytics tools (Python, Tableau, SSRS, Alteryx, Toad, SQL Developer, Power BI)
• Experience developing and deploying AI solutions for business insights and automation
• Proven ability to design, build, and maintain interactive dashboards for data visualization
• Strong critical thinking, ability to deliver under tight deadlines, and effective collaboration with business and technology partners
• The ideal candidate is a 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

Required qualifications, capabilities, and skills:

Preferred qualifications, capabilities, and skills:

• Functional industry experience in operations, marketing, credit/risk, technology, or finance
• Mortgage experience preferred