Senior Associate Quant Analytics

JPMorganChase•Jacksonville, FL

About The Position

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 a in- depth understanding of the mortgage industry.

Requirements

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

Nice To Haves

Functional industry experience in operations, marketing, credit/risk, technology, or finance
Mortgage experience preferred
Master’s Degree in Analytics (or similar concentration)

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