Data Scientist
Credit Key- Full Time
- Junior (1 to 2 years)
Candidates should possess 7+ years of experience in data science, ML, or analytical roles, with at least 2 years of experience in credit, credit risk, or lending, and experience from fintechs, traditional banks, or card issuers, particularly with B2B credit products. Strong understanding of credit risk modeling techniques, including scorecards, supervised ML, time series forecasting, and portfolio monitoring is required, as well as fluency in SQL and Python and familiarity with data platforms like dbt, Spark, and Airflow.
As a Senior Data Scientist, you will own the design and development of ML and statistical models across the credit lifecycle, including underwriting & risk scoring, exposure estimation & line assignment, and portfolio monitoring & early risk detection. You will build production-grade models compliant with fairness, explainability, and regulatory standards, partner with various teams to define credit policies and risk strategies, identify and derive high-signal features from data sources, and contribute to the design of modeling infrastructure. Furthermore, you will be a thought partner in credit strategy, proactively surfacing opportunities while managing risk.
Banking services for startups and founders
Mercury provides banking services specifically designed for startups, regardless of their size or stage of development. Their offerings include free checking and savings accounts, debit and credit cards, and options for domestic and international wire transfers, as well as treasury and venture debt services. The platform is user-friendly, allowing founders to manage their finances with ease. What sets Mercury apart from traditional banks is its focus on the startup community, offering programs that connect founders with valuable resources and advice to help them succeed. The goal of Mercury is to empower startups by providing them with the financial tools and support they need to grow and thrive.