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About the Role

Reach Financial, LLC. seeks a Lead Data Scientist to develop credit underwriting and risk-based pricing strategies using advanced mathematical and analytical methods. This role involves optimizing statistical tools, developing acquisition risk strategies for personal loan products, and collaborating on automated loan acquisition programs.

Responsibilities

• Utilize advanced mathematical and analytical methods to develop credit underwriting strategy and risk-based pricing strategy using data analytics.
• Identify, research, analyze, and optimize 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.
• 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 datasets.
• 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.
• Create data-backed recommendations to help stakeholders make strategic business decisions.

Requirements

• Master’s degree (or foreign equivalent) in Mathematics, Statistics, Econometrics, Operation Research, Industrial Engineering or Computer Science.
• Five (5) years of experience as a Data Scientist or in a related occupation.
• At least five (5) years of experience with extracting, cleaning, manipulating datasets and building statistical models.
• At least five (5) years of experience utilizing Python to manipulate data and draw insights from large data sets.
• At least five (5) years of experience applying unsupervised and supervised machine learning algorithms.
• At least five (5) years of experience applying algorithms’ fundamentals and leveraging the best algorithm hyperparameters.
• At least three (3) years of experience with Consumer Unsecured Lending.
• At least three (3) years of experience with Consumer Credit Bureau Data.
• At least three (3) years of experience with Cloud Service Providers including but not limited to AWS.

Skills

• Data Analytics
• Statistical Modeling
• Segmentation Tools
• Python
• Machine Learning Algorithms
• Algorithm Hyperparameters
• Consumer Unsecured Lending
• Consumer Credit Bureau Data
• AWS

Location

• New York, NY

Work Type

• Hybrid
• 3 days in office
• 2 days remote

Experience Level

• Lead
• 5 years
• 3 years

Education Level

• Master's degree

Salary/Compensations

• $170,000 - $190,000 per year

About the Company

• Reach Financial, LLC.

Equal Opportunity

• Reach Financial, LLC is an EEO/AA employer.