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 ... more details
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
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