Senior Associate Quant Analytics
Listed on 2026-02-10
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Engineer
Overview
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 Correspondent Home Lending. 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 Correspondent Home Lending, 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 a in- depth understanding of the mortgage industry.
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
- 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
- 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 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
- Functional industry experience in operations, marketing, credit/risk, technology, or finance
- Mortgage experience preferred
- Master’s Degree in Analytics (or similar concentration)
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