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Senior Associate Quant Analytics

at J.P. Morgan

Back to all Databases jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Senior Associate Quant Analytics

at J.P. Morgan

Mid LevelNo visa sponsorshipSQL/No-SQL Databases

Posted 15 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Jacksonville
Country
United States

Senior Associate on the Home Lending Data & Analytics team focused on transforming large, complex mortgage and lending datasets into actionable insights and BI deliverables. You will partner with business stakeholders to understand processes, evaluate data quality, build data solutions without unique keys, and create dashboards and recurring/ad-hoc reporting. The role requires strong SQL expertise and experience with platforms like Snowflake, Teradata, Hadoop and reporting tools (Tableau, Power BI, SSRS).

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.

Senior Associate Quant Analytics

at J.P. Morgan

Back to all Databases jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Senior Associate Quant Analytics

at J.P. Morgan

Mid LevelNo visa sponsorshipSQL/No-SQL Databases

Posted 15 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Jacksonville
Country
United States

Senior Associate on the Home Lending Data & Analytics team focused on transforming large, complex mortgage and lending datasets into actionable insights and BI deliverables. You will partner with business stakeholders to understand processes, evaluate data quality, build data solutions without unique keys, and create dashboards and recurring/ad-hoc reporting. The role requires strong SQL expertise and experience with platforms like Snowflake, Teradata, Hadoop and reporting tools (Tableau, Power BI, SSRS).

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.