Professional Loan Program Associate Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Incredible teams doing exceptional work, every day

Eagle Lending is responsible for student loan refinancing, professional loan programs, home equity lines of credit and small business loans. We provide high-touch service and customized products designed around our client’s needs. From refinancing your student loan debt to buying your first home, our team is leading the way for innovation at First Republic.

Duties and Responsibilities

Common goals, uncommon potential

The Associate Data Scientist for the Professional Loan Program (“PLP”) team is primarily responsible for supporting and developing analytical models to drive business insights into our PLP product for the Eagle Lending Department. This is a foundational role that will empower Eagle Lending to move faster with making data-based decisions and deepen relationships with clients in our Professional Loan Program. We're looking for a high-energy Data Scientist with a strong attention to detail, and desire to develop advanced analytical skills.

What you'll do as a PLP Associate Data Scientist:

• Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions
• Support and develop analytical and/or statistical models enabling informed business decisions and create models leading to actionable insights
• Formulate business insights on how to grow the business, improve efficiency and/or deepen relationships based on data
• Deliver on various data science projects end-to-end, including requirements identification, data collection / pre-processing, exploratory data analysis, modeling, evaluation, and deployment
• Summarize data and results to stakeholders by creating statistical summaries and organizing data reports, visualization, and/or interactive Business Intelligence (BI) reports

Qualifications

You could be a great fit if you have:

• A bachelor’s degree, preferably in Engineering, Computer Science, Math, Physics, Statistics, or related quantitative field
• 2+ years of applicable corporate experience working on business analytics, quantitative modeling, and programming
• Proven experience as a Data Scientist or similar role
• Solid understanding of data science, including predictive modeling, time series forecasting, and regression analysis
• Familiarity with the Data Science Project Lifecycle and the corresponding libraries in Python or R (such as pandas, matplotlib, and scikit-learn for Python or tidyverse, ggplot2, and caret for R)
• Experience developing visualizations that drive and optimize business outcomes using Tableau or Microsoft SSRS (required)
• Data processing, analysis, automation, and reporting skills in the Data Science space (Python and/or R, SQL)
• Demonstrated ability to think strategically about business, product, and technical challenges

Job Demands:

• Must be able to review and analyze data reports and manuals; must be computer proficient.
• Must be able to communicate effectively via telephone and in person.

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