Lead Data Scientist

Reach Financial LLC.; New York (NY); Hybrid; USD 170,000 - 190,000; Full time

Job summary

Reach Financial, LLC seeks a Lead Data Scientist in New York, NY responsible for developing credit underwriting strategies and risk-based pricing using data analytics. The role involves building predictive models, researching data vendors, and maintaining data products to optimize business decisions.

The position offers a hybrid schedule with three days in office and two days remote, requiring a Master’s degree and 5 years of related experience.

Qualifications

• Master’s degree in Mathematics, Statistics, Econometrics, OR, Industrial Engineering or Computer Science with 5+ years in data science.
• 5+ years of experience as a Data Scientist or related occupation.
• Experience using Python to manipulate data and extract insights from large datasets.
• Experience with Consumer Unsecured Lending and Credit Bureau Data.
• Experience with Cloud Service Providers including AWS.

Responsibilities

• Develop credit underwriting and risk-based pricing strategies using data analytics.
• Identify and optimize statistical and segmentation tools for acquisition risk in personal loans.
• Conduct data-driven analytics using advanced tools and techniques.
• Collaborate to implement scalable loan acquisition programs and monitor their performance.

Skills

Statistical modeling

Data analytics

Machine learning

Data interpretation

Education

Master’s degree in Mathematics/Statistics/Econometrics/OR/Industrial Engineering/Computer Science

Tools

Python

AWS

Job 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.

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.

Reach Financial, LLC is an EEO/AA employer. No calls.