Data Scientist, Credit Risk Analytics (Fully Remote)

Prosper; United States; Remote; USD 129,000 - 179,000; Full time

Benefits offered by this job

Bonus

401(k) with company match

Flexible time off

Parental leave

Wellness allowance

Job summary

Prosper is seeking a Data Scientist in the United States to build and deploy machine learning models for credit and fraud risk management. You will leverage complex data sources to develop and optimize credit strategies, monitor models in production, and perform ad-hoc risk analysis.

Ideal candidates have 3+ years in fintech or related fields and are proficient in Python and SQL. The role offers a strong compensation package, bonus potential, 401(k) with company match, flexible time off,

Qualifications

• Experience applying statistical and machine learning techniques in fintech or high-impact settings.

Responsibilities

• Build and deploy machine learning models for credit and fraud risk management.
• Leverage complex data sources to develop and optimize credit strategies.
• Monitor models in production and conduct ad-hoc risk analysis.

Skills

Python

SQL

Statistical modeling

Job description

• Build and deploy machine learning models for credit and fraud risk management.
• Leverage complex data sources to develop and optimize credit strategies.
• Monitor models in production and conduct ad-hoc risk analysis.

Skills:

• 3+ years of experience in fintech or high-impact fields applying statistical and machine learning techniques.
• Expert knowledge in Python and SQL.
• Strong communication and interpersonal skills.

Compensation:

• Salary for Data Scientist level: $129,000 - $179,000 annually.
• Includes bonus and generous benefits.
• Competitive salary and 401(k) with 5% company match.
• Flexible time off and paid parental leave.
• Annual wellness allowance and comprehensive health coverage.

Prosper

Prosper is a fintech company that pioneered peer-to-peer lending in the US in 2005, helping over 2 million customers with personal finance products. They have a focus on collaboration, innovation, and integrity, and are committed to an inclusive and diverse workplace.