Senior Associate Quant Analytics

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 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 Hadoop, Teradata, 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

Preferred qualifications, capabilities, and skills:


* Functional industry experience in operations, marketing, credit/risk, tech...