Home Lending and Analytics Team - Quant Analytics Senior Associate

JPMorgan Chase & Co.•Plano, TX

12h

About The Position

We’re looking for a Sr Quant Analyst to join our dynamic Home Lending Data & Analytics team, supporting Mortgage Servicing. As a Quant Analytics Senior Associate, within the Home Lending Data and Analytics team, you will support Mortgage Servicing and 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.

Requirements

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

Nice To Haves

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

Responsibilities

Work closely with business partners to gather reporting requirements and 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 and 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 and 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