The ad says“Minimum 2 years of experience in credit risk management or quantitative strategy role”
The ad says“Minimum 2 years of experience using SQL, Python, or R for data retrieval and manipulations”
The ad says“Minimum 2 years of experience in credit risk management or quantitative strategy role”
The ad says“Minimum 2 years of experience using SQL, Python, or R for data retrieval and manipulations”
The ad says“Minimum 2 years of experience using SQL, Python, or R for data retrieval and manipulations”
Values
The ad says“Experience within consumer/corporate/small business cards, payments, lending, or related industries”
The ad says“Experience within consumer/corporate/small business cards, payments, lending, or related industries”
As a member of Ramp’s Risk Strategy & Operations team, you will leverage data to develop and optimize credit strategies, including underwriting and customer management strategies
This role requires an understanding of credit concepts, fluency with data, and the ability to drive a broad set of projects fairly independently
The role also requires the ability to work with cross-functional teams (product, engineering, operations, finance, marketing, sales and design) to partner and execute on risk strategies, and the ability to take ownership of credit risk outcomes and lead strategic initiatives
Leverage internal and external data (e.g. banking data, commercial credit bureau data, financial accounting data, sales data, etc.) to create best in class credit policies (e.g. underwriting, credit limit increase programs, risk management) that will create value for Ramp and its customers
Understand Ramp’s exposure to risk across multiple products (charge card, reimbursements, bill pay, etc.) to create holistic underwriting and risk management strategies
Investigate and evaluate efficiency of risk policies, procedures, and processes
Analyze market and industry trends, identify potential macroeconomic risk factors and incorporate in credit policy
Partner with product, engineering and design teams to execute credit policies, improve operational tooling, and shape the risk management infrastructure
Partner with data scientists to build and leverage credit risk models in Ramp’s credit policy
Partner with finance teams to create and maintain risk adjusted returns framework, including loss forecasting
Benefits
Comprehensive medical, dental, and vision insurance
One Medical Membership
401(k) including an employer match
Monthly wellness stipend
Parental leave
Unlimited PTO
Pet Insurance
WFH stipend
Relocation support to move to NYC
Preferred experience
Minimum 2 years of experience using SQL, Python, or R for data retrieval and manipulations
Excellent written and verbal communication skills
Minimum 2 years of experience in credit risk management or quantitative strategy role
Experience within consumer/corporate/small business cards, payments, lending, or related industries
