Senior Data Scientist

March 29

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Prosper Marketplace

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Prosper Marketplace is a pioneering financial technology company founded in 2005, known for being the first peer-to-peer lending marketplace in the United States. The company facilitates a range of financial solutions including personal loans, credit cards, and home equity loans, alongside investment opportunities in personal loans. They aim to help individuals improve their financial well-being by offering low-interest fixed-rate personal loans, debt consolidation, credit card solutions, and home equity lines of credit. Prosper Marketplace also promotes financial education through their resources hub, blog, and newsletters. With over $28 billion in loans facilitated, Prosper is dedicated to providing secure, fast, and fair financial services to its users.

peer-to-peer lending • personal loans • alternative investments • online investing • social lending

501 - 1000 employees

Founded 2005

💳 Fintech

💸 Finance

👥 B2C

📋 Description

• Build industry-leading machine learning models for managing credit and fraud risks. • Leverage multiple complex data sources to optimize approve/decline and credit line assignment decisions. • Collaborate with engineers to deploy your models into a production environment. • Propose and execute solutions to various problems within business constraints. • Use responsible AI technique following regulatory requirements and lending best practices. • Help the team with developing tools and workflow solutions to increase data science productivity. • Actively monitor the credit risk models in production. • Extract the most value out of data to significantly impact our key business metrics. • Assess the potential usefulness and validity of machine learning algorithms and features through various data sources. • Conduct ad-hoc analysis related to risk management, investor services, operations and corporate development.

🎯 Requirements

• 6+ years of work experience in fintech, finance, or other high impact field applying statistical and machine learning predictive techniques. • Advanced degree (M.S./PhD) preferably in statistics, computer science, engineering, physical sciences, economics, or related technical field. • Expert knowledge in one of the statistical programming languages such as Python, and database languages such as SQL. • Solid understanding of coding best practices and model documentation. • Strong communication skills – ability to clearly and succinctly communicate technical subject matter to other team members and senior management. • Strong interpersonal skills – collaborate with people across functions and develop strong relationships. • Ability to work unsupervised in fast-paced environment and prioritize among parallel projects. • Ability to think within regulatory guidelines with a mindset toward reproducible research. • Self-motivated, results-oriented, enthusiastic, and a creative thinker.

🏖️ Benefits

• Bonus and generous benefits.