Senior Associate Quant Analytics

JPMorgan Chase & Co.Plano, TX
3h

About The Position

Are you passionate about transforming data into actionable insights? We’re looking for a Sr Associate Quant Analytics 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 Associate Quant Analytics 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 an 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, or a Master’s in Analytics (or similar)
  • Strong SQL skills and experience with data quality assessment
  • Proficiency with Hadoop, Teradata, 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
  • The ideal candidate is a 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

Responsibilities

  • Gather reporting requirements by working closely with business partners.
  • Provide data in digestible formats to stakeholders via Business Intelligence Dashboards for recurring and ad hoc reporting.
  • Use advanced data discovery and mining tools to uncover relationships, trends, and new behavioral insights.
  • Translate business needs into data solutions aligned with long-term objectives.
  • Deliver insightful analytics to support process improvement and business initiatives.
  • Manipulate and analyze complex, high-volume, high-dimensionality data from diverse sources for Home Lending products.
  • Build processes to join datasets without unique keys and evaluate data sources for quality and discrepancies.
  • Critically assess business headwinds and identify opportunities for analytics-driven solutions.
  • Build automated solutions using large language models and Python.
  • Collaborate with team members on projects, share knowledge, and work independently with high accountability.

Benefits

  • We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
  • Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
  • We also offer a range of benefits and programs to meet employee needs, based on eligibility.
  • These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
  • Additional details about total compensation and benefits will be provided during the hiring process.
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