Data Scientist, Credit Risk Analytics (Fully Remote)

Prosper; Deutschland; Remote; EUR 70.000 - 120.000; Vollzeit

Benefits dieser Stelle

Flexible work

Competitive salary with 401(k) match

Health coverage and parental leave

Zusammenfassung

Prosper, a fintech in Germany, seeks a machine learning engineer to build industry-leading models for credit and fraud risk, leveraging diverse data sources to develop strategies and analyze portfolio performance.

You will translate complex ML concepts into business insights, require 2-3+ years in fintech applying ML, expert Python and SQL, and join a collaborative culture with flexible work options and competitive compensation.

Qualifikationen

• 2-3+ years of experience applying ML in fintech or finance.
• Expert knowledge of Python and SQL.
• Strong communication skills to translate technical topics to business strategies.

Aufgaben

• Build industry-leading ML models for credit and fraud risk.
• Leverage complex data sources to develop credit and fraud strategies.
• Analyze ad-hoc portfolio performance and identify trends.

Kenntnisse

Python

SQL

ML in fintech

Jobbeschreibung

• Build industry-leading machine learning models for managing credit and fraud risks.
• Leverage complex data sources to develop credit and fraud strategies.
• Analyze ad-hoc portfolio performance and identify trends.

Skills that will help you thrive:

• 2-3+ years of experience in fintech or finance applying ML techniques.
• Expert knowledge of Python and SQL.
• Strong communication skills to translate technical topics to business strategies.

Resources to help you prosper:

• A connected experience with digital-first tools and flexible work.
• Competitive salary and 401(k) with 5% company match.
• Holistic well-being with flexible time off, paid parental leave, and comprehensive health coverage.

Prosper

Prosper is a fintech company that offers personal loans and credit cards through a digital marketplace. They have helped over 2 million customers and emphasize a collaborative, inclusive culture with flexible work options.