*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