Senior Applied Scientist

A company is looking for a Senior Applied Scientist to develop models for credit risk and fraud functions.

Key Responsibilities

Collaborate with Risk, Product, and Engineering teams to create and implement underwriting and fraud models

Analyze complex data sets to identify credit and fraud risk

Utilize statistical and machine learning techniques on large datasets

Required Qualifications

Bachelor's degree or higher in a quantitative field (e.g., Computer Science, Math, Economics, Statistics)

7+ years of experience in data science, machine learning, and data analysis, particularly in Credit Risk

Expertise in applied probability and statistics

Experience in building credit risk and fraud models

Proficiency in data-oriented programming (e.g., SQL) and statistical programming (e.g., Python, R); PySpark experience is a plus