Full Job Description

Location: Jacksonville, FL, United States

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 Home Lending Relationship Value. 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, you will work on creating sustainable solutions and strategic analytics. You will be a strong communicator who is eager to learn and laser focused on adding value. Additionally, it would be ideal if you have an in- depth understanding of the mortgage industry.

Job Responsibilities:

Work closely with business partners to understand existing processes and challenges
Provide insightful analytics for process improvement
Translate business needs into data solutions for long-term objectives
Evaluate data sources for data quality and discrepancies
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
Use advanced data discovery and data mining tools to reveal relationships and trends in the data that provide new insights into behaviors
Provide actionable data in a digestible format to key stakeholders using Business Intelligence Dashboards for both recurring and ad hoc reporting
Think critically about headwinds facing the business and explore opportunities for analytics
Collaborate with team members to build out specific projects and to continuously teach and learn new technology and techniques
Work independently with minimal supervision but 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
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 SSMS, 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

Preferred qualifications, capabilities, and skills:

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

Promote strategic insights in Home Lending as a Senior Associate, leveraging data for impactful decision-making.

Bulge Bracket Investment Banks

17 days ago

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Senior Associate Quant Analytics

at J.P. Morgan

ExperiencedNo visa sponsorship

Not specified

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City: Jacksonville

Country: United States

Senior Associate in Home Lending Data & Analytics focused on turning complex mortgage and lending data into actionable insights and scalable solutions. The role partners with business stakeholders to design data solutions, perform high-volume data discovery, identify quality issues, and deliver BI reporting and dashboards. Requires strong SQL and data platform experience (e.g., Snowflake, Teradata, Hadoop) and the ability to work independently under tight deadlines while collaborating across Operations, Technology, Finance, and Marketing.

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Full Job Description

Location: Jacksonville, FL, United States

Job Responsibilities:

Work closely with business partners to understand existing processes and challenges
Provide insightful analytics for process improvement
Translate business needs into data solutions for long-term objectives
Evaluate data sources for data quality and discrepancies
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
Use advanced data discovery and data mining tools to reveal relationships and trends in the data that provide new insights into behaviors
Provide actionable data in a digestible format to key stakeholders using Business Intelligence Dashboards for both recurring and ad hoc reporting
Think critically about headwinds facing the business and explore opportunities for analytics
Collaborate with team members to build out specific projects and to continuously teach and learn new technology and techniques
Work independently with minimal supervision but 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
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 SSMS, 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

Preferred qualifications, capabilities, and skills:

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

Promote strategic insights in Home Lending as a Senior Associate, leveraging data for impactful decision-making.

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Senior Associate Quant Analytics

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