Are you passionate about transforming data into actionable insights? We’re looking for a Sr Associate Quant Analytics 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 Associate Quant Analytics 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:

Gather reporting requirements by working closely with business partners.Provide data in digestible formats to stakeholders via Business Intelligence Dashboards for recurring and ad hoc reporting.Use advanced data discovery and mining tools to uncover relationships, trends, and new behavioral insights.Translate business needs into data solutions aligned with long-term objectives.Deliver insightful analytics to support process improvement and business initiatives.Manipulate and analyze complex, high-volume, high-dimensionality data from diverse sources for Home Lending products.Build processes to join datasets without unique keys and evaluate data sources for quality and discrepancies.Critically assess business headwinds and identify opportunities for analytics-driven solutions.Build automated solutions using large language models and Python.Collaborate with team members on projects, share knowledge, and work independently with high accountability.

Required qualifications, capabilities, and skills:

Bachelor’s degree in a quantitative or related field3+ years of data and analytics experience using SQL, or a Master’s in Analytics (or similar)Strong SQL skills and experience with data quality assessmentProficiency with Hadoop, Teradata, Oracle, MS DBs, and SnowflakeExperience with reporting and analytics tools (Python, Tableau, SSRS, Alteryx, Toad, SQL Developer, Power BI)Experience developing and deploying AI solutions for business insights and automationProven ability to design, build, and maintain interactive dashboards for data visualizationStrong critical thinking, ability to deliver under tight deadlines, and effective collaboration with business and technology partnersThe 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

Preferred qualifications, capabilities, and skills:

Functional industry experience in operations, marketing, credit/risk, technology, or financeMortgage experience preferred