About the role

The Lead Data Scientist will develop credit underwriting and risk-based pricing strategies using advanced mathematical and analytical methods. They will also build predictive models, optimize acquisition programs, and collaborate with stakeholders to drive data-backed business decisions.

What they look for

Data Science Python Machine Learning Statistical Modeling Credit Underwriting Risk-based Pricing Predictive Modeling Data Analytics Consumer Unsecured Lending Consumer Credit Bureau Data AWS Data Mining Segmentation Tools Algorithm Optimization Database Management

Requirements

Candidates must hold a Master's degree in a quantitative field and possess at least five years of experience in data science or a related role. Proficiency in Python, machine learning algorithms, and experience with consumer credit data and cloud services like AWS are required.

Full description

Reach Financial, LLC. seeks a Lead Data Scientist in New York, NY responsible for the following:

Utilize advanced mathematical and analytical methods to develop credit underwriting strategy and risk-based pricing strategy using data analytics.
Responsible for identifying, researching, analyzing, and optimizing statistical and segmentation tools to develop acquisition risk strategies for personal loan products.
Conduct data driven analytics utilizing sophisticated analytical tools, software, and techniques.
Collaborate with the team to generate and implement automated and scalable versions of loan acquisition programs, as well as track and analyze performance of various tests and acquisition programs to evaluate their effectiveness.
Utilize analytical, statistical, and programming skills to collect, analyze and interpret large dataset.
Develop data-driven business solutions.
Mine and analyze data from internal database and external vendor to optimize and improve business decisioning.
Research and evaluate new data vendors and make recommendations.
Build and maintain data products.
Develop predictive models to optimize various functions across the organization, including marketing, risk, and operations.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Work independently to create data-backed recommendations to help stakeholders make strategic business decisions.

This position allows for a hybrid schedule with three (3) days in office and two (2) days remote.

Minimum Requirements:

Master’s degree (or foreign equivalent) in Mathematics, Statistics, Econometrics, Operation Research, Industrial Engineering or Computer Science and five (5) years of experience as a Data Scientist or in a related occupation is required. Must have at least five (5) years of experience with: Extracting, cleaning, manipulating datasets and building statistical models; Utilizing Python to manipulate data and draw insights from large data sets; Applying unsupervised and supervised machine learning algorithms; Applying algorithms’ fundamentals and leveraging the best algorithm hyperparameters; Must have at least three (3) years of experience with: Consumer Unsecured Lending; Consumer Credit Bureau Data; and Cloud Service Providers including but not limited to AWS. Position is hybrid and allows three (3) days in the office and two (2) days remote.

Salary: $170,000 - $190,000 per year.

Apply at: https://www.reach.com/corporate/careers, reference ID #. Reach Financial, LLC is an EEO/AA employer. No calls.