Data Scientist

Summary

Join Pipe, a remote-first company building cutting-edge embedded financial solutions, as a Data Scientist, Credit Risk! This full-time position, open anywhere in the U.S., involves using analytics and statistical modeling to understand and operationalize credit risk drivers. You will own the entire credit risk model lifecycle, from prototyping to production deployment, and collaborate with various teams. The role requires strong programming skills and experience in credit risk management and modeling. Pipe offers competitive compensation, including a salary range of $160,000 to $250,000, equity, and excellent benefits.

Requirements

• Master’s degree in Mathematics in Finance, Applied Mathematics, Operations Research, Economics, Statistics, or closely related and 3 years of experience in credit risk research and modeling using statistical and mathematical techniques: regression modeling, time series analysis, Value-at-Risk, and expected shortfalls
• OR: Bachelor’s degree and 5 years of experience
• 3 years of experience (if qualifying on a master’s degree) or 5 years of experience (if qualifying on a bachelor’s degree) in Programming languages Python, SQL, and R
• 3 years of experience (if qualifying on a master’s degree) or 5 years of experience (if qualifying on a bachelor’s degree) in Credit risk management and asset allocation, such as Shapley allocation, Euler allocation, or similar
• 3 years of experience (if qualifying on a master’s degree) or 5 years of experience (if qualifying on a bachelor’s degree) in Monte Carlo simulation including copula, variance reduction, accuracy assessment
• 3 years of experience (if qualifying on a master’s degree) or 5 years of experience (if qualifying on a bachelor’s degree) in Developing models end-to-end (e.g. research phase, development phase, testing phase, deployment phase)
• 3 years of experience (if qualifying on a master’s degree) or 5 years of experience (if qualifying on a bachelor’s degree) in Structuring, pricing, trading, and/or risk-managing credit products in the finance industry
• Candidate must pass 3 rounds of technical interviews prior to hire

Responsibilities

• Use analytics and statistical modeling to understand and operationalize drivers of credit risk
• Own the end-to-end development lifecycle of credit risk models, from prototyping and testing to deployment in production
• Act as the link between data science and risk functions, working closely with to improve risk modeling for the company’s revolutionary asset class
• Collaborate with Sales and Marketing teams to originate deals with the right risk profile while improving processes to enhance risk modeling efficiency

Benefits

• The best equipment to help you do your job: computers, monitors, desks, chairs, headphones, speakers, webcams, keyboards, mice, etc
• Flexible vacation and work hours
• Excellent health, dental, and vision insurance
• Generous parental leave for anyone who is growing their family, regardless of gender
• Salary range of $160,000 to $250,000 per year
• Equity