Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

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.
• 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.
• Five (5) years of experience with extracting, cleaning, manipulating datasets and building statistical models.
• Five (5) years of experience utilizing Python to manipulate data and draw insights from large data sets.
• Five (5) years of experience applying unsupervised and supervised machine learning algorithms.
• Five (5) years of experience applying algorithms’ fundamentals and leveraging the best algorithm hyperparameters.
• Three (3) years of experience with Consumer Unsecured Lending.
• Three (3) years of experience with Consumer Credit Bureau Data.
• Three (3) years of experience with Cloud Service Providers including but not limited to AWS.

Skills

• Data Analytics
• Statistical Modeling
• Machine Learning Algorithms
• Python
• Data Mining
• Predictive Modeling
• AWS

Location

• New York, NY

Work Type

• Hybrid
• 3 days in office
• 2 days remote

Experience Level

• Lead

Education Level

• Master's degree

Salary/Compensations

• $170,000 - $190,000 per year

About the Company

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

Equal Opportunity

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