Data Scientist
Credit Key- Full Time
- Junior (1 to 2 years)
Candidates should possess an Advanced Degree (MS/PhD) in Data Science, Statistics, Mathematics, Computer Science, Finance, or a related quantitative discipline, and 0-2 years of hands-on experience in a data science or analytics role, preferably in financial services. A strong foundation in statistics, machine learning, and financial domain knowledge is also required.
The Data Scientist will build and deploy statistical models and machine learning algorithms to solve business problems in areas like credit risk, fraud detection, pricing, customer segmentation, and marketing attribution, validate models to identify factors affecting performance, analyze large datasets using SQL, Python, and collaborate with cross-functional teams to define data-driven strategies and stay up to date with data science and fintech trends.
Provides loans, credit cards, and rewards
Upgrade offers personal loans, credit cards, and rewards checking accounts to help individuals manage their finances. Their personal loans allow borrowing up to $50,000 with fixed rates and no prepayment penalties, while the Upgrade Card provides cash back rewards on various spending categories. What makes Upgrade different is its focus on affordability and user-friendly features, attracting customers looking for flexible credit solutions. The company's goal is to promote responsible financial behavior and long-term financial health through accessible credit options.