A leading financial technology firm is looking for a Data Analyst to support their Credit Risk team. This role involves executing direct mail and Invitation-To-Apply campaigns, performing credit risk analysis, and optimizing campaign performance. The ideal candidate will have a Bachelor’s degree in a quantitative field and 1-3 years of relevant experience, with proficiency in SQL and programming languages like Python or SAS. The company offers competitive compensation and benefits and a hybrid work schedule.
Qualifications
1-3 years of analytical and/or data programming experience is required.
Consumer lending or credit card industry experience is preferred.
Proficiency in at least one programming language (Python or SAS) is necessary.
Responsibilities
Execute end-to-end direct mail and ITA campaigns.
Perform credit risk analysis to support targeting and offer strategy.
Monitor campaign performance indicators and trends.
Skills
SQL
Python
SAS
Quantitative analysis
Problem-solving
Education
Bachelor’s degree in quantitative fields
Job description
A leading financial technology firm is looking for a Data Analyst to support their Credit Risk team. This role involves executing direct mail and Invitation-To-Apply campaigns, performing credit risk analysis, and optimizing campaign performance. The ideal candidate will have a Bachelor’s degree in a quantitative field and 1-3 years of relevant experience, with proficiency in SQL and programming languages like Python or SAS. The company offers competitive compensation and benefits and a hybrid work schedule.