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Quant Analyst II - Home Lending Sales Strategy Support

JPMorganChase

JPMorganChase

IT, Customer Service, Sales & Business Development
Jacksonville, FL, USA
Posted on Thursday, July 11, 2024

Job Description

Summary

As a Quant Data Analyst in our Consumer Originations Sales team, you will have the opportunity to provide analytical and critical support on all aspects of sales performance. This includes in-depth business strategy analyses, data/analytics, streamlining current processes, problem-solving, and presenting analytical results as informative and actionable reporting. This role offers the chance to identify trends, patterns, and insights that inform strategic decisions and promote innovation in home lending products and services.

*We are unable to sponsor or take over sponsorship of an employment Visa for this role*

Job responsibilities:

  • Analyze large datasets to identify trends, patterns, and insights that inform strategic decisions and drive innovation in home lending products and services.
  • Exhibit excellent analytical skills, attention to detail, and the ability to translate complex concepts into actionable insights.
  • Provide analytical support to business stakeholders by designing experiments, conducting scenario analysis, and evaluating the impact of strategic initiatives.
  • Conduct advanced statistical experiment results, including hypothesis testing, confidence intervals
  • Lead the design and development of A/B tests and experiments, including defining hypotheses, selecting appropriate metrics and determine sample sizes
  • Collaborate with cross-functional teams including data scientist, sales, and business stakeholders to develop and deploy solutions that meet business objectives.

Required qualifications, capabilities, and skills:

  • US Citizenship
  • Three years of experience in a data and analytical role
  • Degree in a quantitative field such as mathematics, statistics, computer science or finance
  • Strong proficiency in programming languages such as Python or R with experience in machine learning libraries such as TensorFlow or Pytorch
  • Strong understanding of statistical methods, machine learning algorithms, and data mining techniques
  • Experience working with large data sets and conducting exploratory data analysis
  • Familiarity with home lending practices, mortgage products, and regulatory requirements